A flower material analysis management system and method

Abstract

The present application relates to the field of analysis and management, and in particular to a flower material analysis management system and method. The method includes: obtaining warehouse structure information, and determining several monitoring areas based on the warehouse structure information; obtaining and analyzing real-time monitoring information of several monitoring areas, determining the real-time volatilization amount of several monitoring areas, obtaining historical volatilization amount data of several monitoring areas, and judging whether there are abnormal areas based on the real-time volatilization amount and historical volatilization amount data of several monitoring areas; if there are abnormal areas, determining the location of the abnormal area based on several real-time volatilization amounts; determining the real-time environmental information of the abnormal area based on the location of the abnormal area, and determining several adjustment information based on the real-time environmental information; and normalizing the abnormal area based on several adjustment information. The present application monitors the volatilization amount of the warehouse in real time, grasps the real-time situation, and identifies and locates abnormal areas. At the same time, it analyzes environmental factors, optimizes the environment, and improves warehouse management efficiency.

Description

Technical Field

[0001] The present application relates to the field of analysis and management technology, and in particular to a flower material analysis and management system and method. Background Art

[0002] The existing flower material analysis and management mainly preserves flowers by inserting them into vases in time, keeping the water clean, controlling the suitable environment, and supplementing necessary nutrients.

[0003] There are many kinds of flowers, and their uses are also different. Among them, flowers used for functional purposes are particularly special. If they are not stored properly, their functional effects will often be greatly reduced, which will lead to a significant reduction in profits. Summary of the invention

[0004] The present application provides a flower material analysis management system and method to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides a flower material analysis and management method, the method comprising:

[0006] Acquire warehouse structure information, and determine a number of monitoring areas according to the warehouse structure information;

[0007] Acquire and analyze the real-time monitoring information of the plurality of monitoring areas, determine the real-time volatilization amount of the plurality of monitoring areas, acquire the historical volatilization amount data of the plurality of monitoring areas, and determine whether there is an abnormal area according to the real-time volatilization amount and the historical volatilization amount data of the plurality of monitoring areas;

[0008] If the abnormal area exists, determine the location of the abnormal area according to the real-time volatilization amounts;

[0009] Determine the real-time environment information of the abnormal area according to the position of the abnormal area, and determine some adjustment information according to the real-time environment information;

[0010] The abnormal area is normalized according to the plurality of adjustment information.

[0011] The method provided in the present application monitors different areas of the warehouse in real time, quickly and accurately obtains real-time volatility information of each area, and promptly understands the real-time situation in the warehouse. By comparing historical volatility data, areas with abnormal volatility are identified, and the locations of these abnormal areas are quickly located. This helps to take measures quickly to deal with abnormal areas in a timely manner to prevent the problem from further expanding. Then, by obtaining real-time environmental information of the abnormal area, the specific environmental factors that cause the abnormality are analyzed, and corresponding adjustment information is proposed accordingly. Based on the adjustment information, the abnormal area is normalized. This solution significantly improves the management efficiency, safety and operation level of the warehouse through real-time monitoring, abnormality detection and processing, environmental optimization and other means.

[0012] Optionally, determining a number of monitoring areas based on the warehouse structure information includes: analyzing the warehouse structure information to determine the flower material storage area and the storage area image; determining the storage location and storage area of ​​each flower material based on the flower material storage area and the storage area image; dividing the flower material storage area into a number of monitoring areas based on the storage location and storage area of ​​each flower material.

[0013] Through the above technical solution, by analyzing the warehouse structure information, the storage area of ​​the flowers is clarified, and the information of the area where each flower is stored is accurately understood. The storage location and storage area of ​​each flower are determined to achieve accurate inventory management and quickly locate the location of each flower. By dividing the storage area into several monitoring areas, the complexity of monitoring and management is simplified. Through this solution, the real-time monitoring data of the warehouse can be systematically collected and analyzed, providing data support for the analysis and management of flowers.

[0014] Optionally, judging whether there is an abnormal area based on the real-time volatile amounts of the several monitoring areas includes: determining a normal volatile amount interval based on the historical volatile amount data; judging whether there is abnormal volatile amounts in the several real-time volatile amounts based on the several real-time volatile amounts and the normal volatile amount interval; and determining that the abnormal area exists if the abnormal volatile amounts exist.

[0015] Through the above technical solution, the real-time monitoring of the volatility is achieved by acquiring the volatility data in real time and comparing it with the historical data. The normal volatility range is determined by analyzing the historical volatility data, which provides an important reference for the determination of abnormal volatility. By comparing the real-time volatility with the historical volatility, the abnormal volatility is detected, realizing the function of abnormal detection. Through continuous data collection and analysis, the normal volatility range and abnormal detection algorithm can be continuously optimized to further improve the performance and accuracy of the system.

[0016] Optionally, determining the location of the abnormal area based on the several real-time volatilization amounts includes: determining the location of a current monitoring point based on the several real-time volatilization amounts; determining the numerical relationship between the density of volatile substances and the density of air based on the current monitoring point location; determining the type of volatile substances based on the numerical relationship; determining the type of flower materials based on the type of volatile substances; and determining the location of the abnormal area based on the type of flower materials.

[0017] Through the above technical scheme, according to several real-time volatile amounts, by screening several real-time volatile amount concentrations, the location of the current monitoring point can be inferred. This is crucial for determining the location of the abnormal area. By comparing the density of volatile substances at the monitoring point location with the density of the surrounding air, the numerical relationship between the density of volatile substances and the density of air is analyzed. According to the numerical relationship between the density of volatile substances and the density of air, the type of volatile substances can be preliminarily determined. This provides a more accurate reference for the subsequent determination of the type of flower materials. Different flower materials will release different volatile organic compounds. By identifying the types of volatile substances, the possible types of flower materials can be inferred. Combined with the inference results of the flower material types and the spatial distribution characteristics of the monitoring points, the specific location of the abnormal area is further determined. By monitoring the types and distribution patterns of volatile substances, the location of the abnormal area can be determined more accurately.

[0018] Optionally, the real-time environmental information includes humidity change information, and the real-time environmental information of the abnormal area is determined according to the position of the abnormal area, and a number of adjustment information is determined according to the real-time environmental information, including: determining the real-time volatile amount change information of the abnormal area according to the position of the abnormal area; determining a number of real-time volatile amounts under different humidity conditions according to the real-time volatile amount change information and the humidity change information; determining a number of humidity information when the real-time volatile amounts under different humidity conditions are in the normal volatile amount range according to the a number of real-time volatile amounts under the different humidity conditions and the normal volatile amount range; determining a humidity adjustment range according to the a number of humidity information; and incorporating the humidity adjustment range into a number of adjustment information.

[0019] Through the above technical solution, by continuously monitoring the changes in the volatile amount in the abnormal area, the dynamics of the volatile substances in the area can be grasped in real time, providing basic data for the subsequent humidity impact analysis and adjustment strategy. The solution also considers the important factor of humidity and analyzes the changes in the volatile amount under different humidity conditions. This helps to understand how humidity affects the release and diffusion of volatile substances and provides a basis for formulating targeted humidity adjustment strategies. By comparing with the normal volatile amount range, it is determined whether the volatile amount under different humidity conditions is within the normal range. Based on the analysis of the relationship between volatile amount and humidity, the humidity adjustment range is determined. In order to keep the volatile amount within the normal range, the humidity should be adjusted to the target range, which helps to better manage and control the environmental conditions in abnormal areas and reduce potential risks and impacts.

[0020] Optionally, the real-time environmental information also includes temperature change information. The real-time environmental information of the abnormal area is determined according to the position of the abnormal area, and some adjustment information is determined according to the real-time environmental information, including: determining some real-time volatilization amounts under different temperature conditions according to the real-time volatilization amount change information and the temperature change information; determining some temperature information when the some real-time volatilization amounts under different temperature conditions are in the normal volatilization amount interval according to the some real-time volatilization amounts under different temperature conditions and the normal volatilization amount interval; determining some humidity information under different temperature conditions according to the temperature change information and the humidity change information, refer to the following formula:

[0021] ;

[0022] in, Indicates current temperature conditions Humidity information below, represents the nonlinear temperature influence coefficient, represents the linear temperature influence coefficient, Representing a predicted humidity value; determining, according to the plurality of humidity information and the humidity adjustment range, a plurality of normal humidity information within the humidity adjustment range among the plurality of humidity information; determining, according to the plurality of normal humidity information, a plurality of normal temperature information; and determining a temperature adjustment range according to the plurality of normal temperature information; and incorporating the temperature adjustment range into the plurality of adjustment information.

[0023] Through the above technical solution, the real-time volatilization amount under different temperature conditions can be accurately obtained by real-time monitoring of the changes in volatilization amount and temperature. Combined with the normal volatilization range, the temperature information under different temperature conditions that the volatilization amount is within the normal range is determined to provide accurate data support for subsequent humidity and temperature adjustments. The humidity information under different temperature conditions is calculated based on the temperature change and humidity change information using the formula, realizing the correlation analysis between humidity and temperature. By comparing the humidity adjustment range, the humidity information within the normal humidity range can be screened out, and then the corresponding normal temperature information can be determined. Based on the temperature information corresponding to the normal humidity information, a reasonable temperature adjustment range can be determined. This temperature adjustment range is helpful for temperature control of flower storage. Incorporating the temperature adjustment range into the comprehensive adjustment information helps to quickly respond to environmental changes and adjust storage conditions in a timely manner.

[0024] Optionally, the abnormal area is normalized according to the plurality of adjustment information, including: adjusting the real-time environment of the abnormal area according to the humidity adjustment range and the temperature adjustment range, and determining an adjustment result; determining an adjusted humidity and an adjusted temperature according to the adjustment result, and determining a real-time volatilization amount of the abnormal area after adjustment according to the adjusted humidity and the adjusted temperature.

[0025] Through the above technical solution, the real-time environmental information of the abnormal area is monitored, and combined with the previously determined humidity adjustment range and temperature adjustment range, the environmental information can be accurately adjusted. After the environmental information is adjusted, the adjustment effect is evaluated by real-time monitoring of the volatility of the abnormal area after adjustment. The real-time volatility of the adjusted abnormal area is included in the historical volatility data, enriching and improving the historical records of the real-time volatility in the preset database, making the data more timely and making the database information more valuable for reference.

[0026] Optionally, the adjusted humidity and the adjusted temperature are determined according to the adjustment result, and the real-time volatilization amount of the abnormal area after adjustment is determined according to the adjusted humidity and the adjusted temperature, referring to the following formula:

[0027] ;

[0028] in, Indicates the real-time volatilization amount of the abnormal area after adjustment. represents the adjusted humidity, represents the adjusted temperature, represents the linear temperature influence coefficient, represents the linear humidity influence coefficient, represents the nonlinear temperature influence coefficient, represents the nonlinear humidity influence coefficient, represents the temperature-humidity interaction coefficient, Indicates the base value.

[0029] Through the above technical solution, by introducing a real-time volatilization calculation formula that comprehensively considers the adjusted temperature and adjusted humidity, an accurate estimation of the real-time volatilization in the abnormal area is achieved. This formula takes into account the linear effects of the adjusted temperature and adjusted humidity on the real-time volatilization, as well as their nonlinear effects and the interactions between them. Comprehensive consideration makes the estimation of the volatilization more comprehensive and accurate. By introducing nonlinear terms and interaction terms, the complex influence relationship between temperature and humidity on the volatilization can be more accurately described, thereby improving the estimation accuracy of the volatilization.

[0030] Optionally, the method also includes: if the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, judging whether the flower material type is light-sensitive flower material according to the flower material type corresponding to the position of the abnormal area; if the flower material type is light-sensitive flower material, obtaining light intensity change information at the position of the abnormal area; determining several light intensity information when several real-time volatilization amounts under different light intensities are within the normal volatilization amount range according to the real-time volatilization amount change information and the light intensity change information; and determining the light intensity adjustment range according to the several light intensity information.

[0031] Through the above technical solution, when the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, it is determined whether it belongs to light-sensitive flower materials according to the type of flower materials corresponding to the abnormal area, so as to achieve in-depth analysis of the flower materials. For light-sensitive flower materials, the light intensity change information of the abnormal area is further obtained, and combined with the real-time volatilization amount change information, the light intensity information when the real-time volatilization amount is in the normal volatilization amount range under different light intensity conditions is analyzed, which provides data support for determining the light intensity adjustment range. Based on the light intensity information obtained from the analysis, a reasonable light intensity adjustment range is determined. This helps to scientifically guide the adjustment of light intensity to optimize the flower material storage environment, so that the volatilization amount of the flower material is within the normal volatilization amount range, thereby improving the quality of essential oil extraction.

[0032] In a second aspect, the present application provides a system for analyzing various types of flower materials, the system comprising:

[0033] A monitoring area division module is used to obtain warehouse structure information and determine a number of monitoring areas according to the warehouse structure information;

[0034] an abnormal area determination module, used to obtain and analyze the real-time monitoring information of the plurality of monitoring areas, determine the real-time volatilization amount of the plurality of monitoring areas, obtain the historical volatilization amount data of the plurality of monitoring areas, and determine whether there is an abnormal area according to the real-time volatilization amount and the historical volatilization amount data of the plurality of monitoring areas;

[0035] An abnormal position determination module, used for determining the position of the abnormal area according to a number of the real-time volatilization amounts if the abnormal area exists;

[0036] An adjustment information determination module, used to determine the real-time environment information of the abnormal area according to the position of the abnormal area, and determine a number of adjustment information according to the real-time environment information;

[0037] The adjustment processing module is used to perform normalization processing on the abnormal area according to the plurality of adjustment information.

[0038] Optionally, the monitoring area division module is specifically used to: analyze the warehouse structure information to determine the flower material storage area and the storage area image; determine the storage location and storage area of ​​each flower material based on the flower material storage area and the storage area image; and divide the flower material storage area into several monitoring areas based on the storage location and storage area of ​​each flower material.

[0039] Optionally, the abnormal area determination module is specifically used to: determine a normal volatility range based on the historical volatility data; determine whether there is abnormal volatility in the real-time volatility based on the real-time volatility and the normal volatility range; if there is abnormal volatility, determine that the abnormal area exists.

[0040] Optionally, the abnormal position determination module is specifically used to: determine the current monitoring point position based on the real-time volatilization amounts; determine the numerical relationship between the density of volatile substances and the air density based on the current monitoring point position; determine the type of volatile substances based on the numerical relationship; determine the type of flower materials based on the type of volatile substances; and determine the position of the abnormal area based on the type of flower materials.

[0041] Optionally, the adjustment information determination module is specifically used to: determine the real-time volatilization amount change information of the abnormal area location according to the abnormal area location; determine a number of real-time volatilization amounts under different humidity conditions according to the real-time volatilization amount change information and the humidity change information; determine a number of humidity information when the real-time volatilization amounts under the different humidity conditions are in the normal volatilization amount interval according to the a number of real-time volatilization amounts under the different humidity conditions and the normal volatilization amount interval; determine a humidity adjustment range according to the a number of humidity information; and incorporate the humidity adjustment range into a number of adjustment information.

[0042] Optionally, the adjustment information determination module is specifically used to: determine a number of real-time volatilization amounts under different temperature conditions according to the real-time volatilization amount change information and the temperature change information; determine a number of temperature information when the real-time volatilization amounts under different temperature conditions are in the normal volatilization amount interval according to the real-time volatilization amounts under different temperature conditions and the normal volatilization amount interval; determine a number of humidity information under different temperature conditions according to the temperature change information and the humidity change information, referring to the following formula:

[0043] ;

[0044] in, Indicates current temperature conditions Humidity information below, represents the nonlinear temperature influence coefficient, represents the linear temperature influence coefficient, Representing a predicted humidity value; determining, according to the plurality of humidity information and the humidity adjustment range, a plurality of normal humidity information within the humidity adjustment range among the plurality of humidity information; determining, according to the plurality of normal humidity information, a plurality of normal temperature information; and determining a temperature adjustment range according to the plurality of normal temperature information; and incorporating the temperature adjustment range into the plurality of adjustment information.

[0045] Optionally, the adjustment processing module is specifically used to: adjust the real-time environment of the abnormal area according to the humidity adjustment range and the temperature adjustment range, and determine the adjustment result; determine the adjusted humidity and the adjusted temperature according to the adjustment result, and determine the real-time volatilization amount of the abnormal area after adjustment according to the adjusted humidity and the adjusted temperature.

[0046] Optionally, the adjustment processing module is specifically used to: obtain the adjusted humidity and temperature, and determine the real-time volatilization amount of the abnormal area after adjustment according to the adjusted humidity and temperature, referring to the following formula:

[0047] ;

[0048] in, Indicates the real-time volatilization amount of the abnormal area after adjustment. represents the adjusted humidity, represents the adjusted temperature, represents the linear temperature influence coefficient, represents the linear humidity influence coefficient, represents the nonlinear temperature influence coefficient, represents the nonlinear humidity influence coefficient, represents the temperature-humidity interaction coefficient, Indicates the base value.

[0049] Optionally, the flower material analysis and management system also includes a light intensity adjustment module, which is specifically used to: if the real-time volatilization amount of the abnormal area after the adjustment is still not within the normal volatilization amount range, determine whether the flower material type is light-sensitive flower material according to the flower material type corresponding to the position of the abnormal area; if the flower material type is light-sensitive flower material, obtain light intensity change information at the position of the abnormal area; determine several light intensity information when several real-time volatilization amounts under different light intensities are within the normal volatilization amount range according to the real-time volatilization amount change information and the light intensity change information; determine the light intensity adjustment range according to the several light intensity information. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0051] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0052] Figure 2 A flow chart of a flower material analysis and management method provided in one embodiment of the present application;

[0053] Figure 3 A structural diagram of a flower material analysis and management system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are 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.

[0055] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0056] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0057] In the process of storage and management of flower materials, functional flower materials need to maintain their internal effective ingredients during storage. When storing functional flower materials, functional flower materials are easily affected by environmental factors, which can easily lead to improper storage, resulting in a significant reduction in their functional effects.

[0058] Based on this, the present application provides a flower material analysis management system and method. Quickly and accurately obtain the real-time volatilization information of each area, timely understand the real-time situation in the warehouse, and quickly locate the location of these abnormal areas to prevent the problem from further expanding. According to the specific environmental factors obtained by analysis, corresponding adjustment information is proposed to achieve normalization of abnormal areas, which significantly improves the management efficiency, safety and operation level of the warehouse and ensures the role of functional flowers.

[0059] Figure 1 A schematic diagram of an application scenario provided for the present application. When storing flower materials, the method provided by the present application can be applied to monitor the volatilization of flower materials in real time, detect abnormalities in time and handle them.

[0060] Specifically, the method provided in the present application is applied to any server, and the server interacts with the monitoring device, and obtains the real-time volatility information of each monitoring area through the above-mentioned monitoring device, so as to timely understand the real-time situation in the warehouse. By comparing with the historical volatility data, the areas with abnormal volatility are identified, and the positions of these abnormal areas are quickly located. This helps to take measures quickly and deal with the abnormal areas in a timely manner to prevent the problem from further expanding. Then, by obtaining the real-time environmental information of the abnormal area, the specific environmental factors that cause the abnormality are analyzed, and corresponding adjustment information is proposed accordingly. According to the adjustment information, the abnormal area is normalized. This solution significantly improves the management efficiency, safety and operation level of the warehouse through real-time monitoring, abnormality detection and processing, environmental optimization and other means.

[0061] For specific implementation methods, please refer to the following embodiments.

[0062] Figure 2 This is a flow chart of a flower material analysis and management method provided in one embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0063] S201. Obtain warehouse structure information, and determine a number of monitoring areas based on the warehouse structure information.

[0064] The warehouse structure information may be information about the structure of the warehouse, such as the area of ​​the warehouse, the vertical height of the warehouse, etc. The warehouse structure information may be obtained through a database.

[0065] The monitoring area may be an area that is divided and monitored in real time.

[0066] Specifically, by obtaining the structural information of the warehouse, the partition of the warehouse is determined. According to the partition of the warehouse, the flower material storage area is determined. According to the flower material storage area, the location and area of ​​each storage area for storing flower materials in the warehouse are determined. According to the location and area of ​​each storage area for storing flower materials in the warehouse, the storage area is divided into several monitoring areas.

[0067] S202, obtaining and analyzing real-time monitoring information of several monitoring areas, determining the real-time volatilization amount of several monitoring areas, obtaining historical volatilization amount data of several monitoring areas, and judging whether there are abnormal areas according to the real-time volatilization amount and historical volatilization amount data of several monitoring areas.

[0068] The monitoring device may include an electronic nose, a temperature and humidity sensor, and a densitometer. The electronic nose can detect the type, concentration, and amount of volatile substances. The temperature and humidity sensor can detect the temperature and humidity of the monitoring area. The densitometer can measure the air density and the density of volatile substances. The electronic nose is installed above and below the flower material and evenly distributed in the entire flower material storage area, and the temperature and humidity sensors are evenly distributed and installed in each monitoring area.

[0069] The historical volatilization data may be a number of volatilization data of normal volatilization of flowers in the monitoring area.

[0070] The real-time monitoring information may be real-time data monitored by a number of monitoring devices in the monitored area.

[0071] The real-time volatilization amount may be the current volatilization amount of the volatile substances in the flower material.

[0072] The abnormal area may be an area where the real-time volatilization amount of volatile substances in the flower material is abnormal.

[0073] Specifically, the real-time monitoring information of several monitoring areas is extracted, and the real-time volatilization amount of the volatile substances in the flower materials stored in the several monitoring areas is determined according to the type of the real-time monitoring information of the monitoring areas.

[0074] The preset database may be a database for storing various normal data of the monitoring area. The normal real-time volatility of several areas may be recorded in this database, such as historical volatility data, environmental change information, volatile substance data, warehouse structure information, etc.

[0075] According to the comparison result of the real-time volatilization amount of the flower materials stored in the several monitoring areas with the historical volatilization amount data, it is determined whether there is an abnormal area with abnormal real-time volatilization amount in the several monitoring areas.

[0076] S203: If an abnormal area exists, determine the location of the abnormal area based on a number of real-time volatilization amounts.

[0077] The flower material type may be each type of flower material stored in the storage area, such as roses, jasmine, and the like.

[0078] The abnormal area position may be a specific location in the warehouse where the real-time volatilization amount of the volatile substances in the flower materials is abnormal.

[0079] Specifically, when the real-time volatilization of volatile substances in flowers is in an abnormal range, by comparing the real-time volatilization with the historical volatilization data, the significantly higher real-time volatilization is determined and sorted, and finally the monitoring point with the maximum real-time volatilization is located. The air density around the flowers is measured and compared with the density of volatile substances through the monitoring device, and the type of volatile substances is determined in combination with the location of the monitoring point. After determining the type of volatile substances, match the flower type and locate the nearest flower, and then determine the location of the abnormal area.

[0080] S204: Determine real-time environment information of the abnormal area according to the position of the abnormal area, and determine some adjustment information according to the real-time environment information.

[0081] The real-time environmental information may be information about the current environment of the abnormal area, such as temperature, ventilation conditions, etc.

[0082] The adjustment information may be some reference information for processing and adjusting the real-time environmental information of the abnormal area, such as humidity, temperature, etc.

[0083] Specifically, according to the specific location of the abnormal volatilization area, the real-time monitoring result of the environment is determined by real-time monitoring of the environment of the abnormal area by the monitoring device. The real-time monitoring result is analyzed by data analysis means to determine the real-time environmental information of the abnormal area, and the environmental change information of the abnormal area is determined according to the real-time environmental information of the abnormal area. According to the environmental change information and the real-time volatilization, the specific volatilization information under different environments is determined. According to the comparison result of the specific volatilization information and the historical volatilization data in the preset database, a number of temperature and humidity information is determined, and according to the temperature and humidity information, a number of adjustment information is determined.

[0084] S205: Perform normalization processing on the abnormal area according to some adjustment information.

[0085] The normalization process may be an operation process of adjusting the abnormal area according to some adjustment information.

[0086] Specifically, the real-time environmental information of the abnormal area is adjusted according to the determined adjustment information to ensure that the real-time volatilization amount of the abnormal area returns to normal.

[0087] Through the above-mentioned flower material analysis and management method, the real-time volatile volume information of each monitoring area is obtained through the monitoring device, and the real-time status of the flower material storage area in the warehouse is timely understood. Then, by comparison, the areas with abnormal volatile volume are identified, and the locations of these abnormal areas are quickly located. This helps to take measures quickly to deal with abnormal areas in a timely manner to prevent the problem from further expanding. According to the real-time environmental information monitored by the monitoring device at the location of the abnormal area, the specific environmental factors that cause the abnormality are analyzed, and corresponding adjustment information is proposed accordingly. This solution significantly improves the management efficiency, safety and operation level of the warehouse through real-time monitoring, abnormality detection and processing, environmental optimization and other means.

[0088] In some embodiments, warehouse structure information is analyzed to determine the flower material storage area and storage area image; based on the flower material storage area and storage area image, the storage location and storage area of ​​each flower material are determined; based on the storage location and storage area of ​​each flower material, the flower material storage area is divided into several monitoring areas.

[0089] The flower material storage area may be an area in a warehouse where flower materials are stored.

[0090] The storage location may be a specific location where each flower material is stored.

[0091] The storage area may be the area for storing each flower material.

[0092] Specifically, by analyzing the structural information of the warehouse, the information of the flower material storage area is determined. Based on the information of the flower material storage area, the specific location of each flower material storage and the area of ​​the storage area are determined through natural language processing. Then, based on the specific location of each flower material storage and the area of ​​each flower material storage area, the division boundary is determined. Based on the division boundary, the storage area is divided into several monitoring areas.

[0093] Through the method provided in this embodiment, by analyzing the warehouse structure information, the storage area of ​​the flowers is clarified, and the information of the area where each flower is stored is accurately understood. The storage location and storage area of ​​each flower are determined to achieve accurate inventory management and quickly locate the location of each flower. By dividing the storage area into several monitoring areas, the complexity of monitoring and management is simplified. Through this solution, the real-time monitoring data of the warehouse can be systematically collected and analyzed, providing data support for the analysis and management of flowers.

[0094] In some embodiments, a normal volatility range is determined based on historical volatility data; based on a number of real-time volatility and the normal volatility range, it is determined whether there is an abnormal volatility in a number of real-time volatility; if there is an abnormal volatility, it is determined that there is an abnormal area. The normal volatility range can be a range composed of the volatility of the flower material when it volatilizes normally.

[0095] The abnormal volatilization amount may be the real-time volatilization amount of the flower material that is not within the normal volatilization amount range.

[0096] Specifically, based on the historical volatilization data, the minimum and maximum values ​​are taken to form an interval, and the interval is determined as the normal volatilization interval. The real-time volatilization of several monitoring areas is compared with the normal volatilization interval to determine whether there is a real-time volatilization that is not in the normal volatilization interval among the real-time volatilizations. If there is a real-time volatilization that is not in the normal volatilization interval, it is determined that there is an abnormal volatilization, and at this time, it can be considered that there is an abnormal area.

[0097] Through the method provided by this embodiment, by acquiring the volatility data in real time and comparing it with the historical data, the real-time monitoring of the volatility is realized. By analyzing the historical volatility data, the normal volatility range is determined, which provides an important reference basis for the determination of abnormal volatility. By comparing the real-time volatility with the historical volatility, the abnormal volatility is detected, and the function of abnormal detection is realized. Through continuous data collection and analysis, the normal volatility range and the abnormality detection algorithm can be continuously optimized to further improve the performance and accuracy of the system.

[0098] In some embodiments, the current monitoring point location is determined based on a number of real-time volatilization amounts; the numerical relationship between the density of the volatile substance and the air density is determined based on the current monitoring point location; the type of the volatile substance is determined based on the numerical relationship; the type of flower material is determined based on the type of the volatile substance; and the location of the abnormal area is determined based on the type of flower material.

[0099] The current monitoring point location may be a location where a real-time volatilization monitoring device is installed.

[0100] The density of volatile substances can be the density of volatile aromatic substances in flowers that evaporate into gas.

[0101] The numerical relationship may be the relationship between the density of the volatile substance and the density of the air.

[0102] The types of volatile substances may be types of volatile aromatic substances in flower materials.

[0103] Specifically, according to a number of real-time volatilization amounts and historical volatilization data, by comparison, a number of real-time volatilization amounts significantly higher than the historical volatilization data are determined. The real-time volatilization amounts significantly higher than the historical volatilization data are sorted to determine the maximum real-time volatilization amount. According to the maximum real-time volatilization amount, the current monitoring point position of the maximum real-time volatilization amount is determined. For example, the real-time volatilization amount is monitored above the flower material or below the flower material.

[0104] The density of the air around the flowers is measured by a densitometer. Then, according to the current monitoring point position, it is determined whether the current monitoring point is located above or below the flowers. Then the numerical relationship between the density of volatile substances and the density of air is determined. For example, different aromatic volatile substances have different densities when they evaporate into gaseous state, some are greater than the density of air, and some are less than the density of air. When the aromatic volatile substances evaporate into gaseous state and are above the flowers, it means that the density of the aromatic volatile substances is less than the density of air, otherwise, it is greater than the density of air. The numerical relationship between it and the air density can be determined according to the position at which it is monitored.

[0105] According to the numerical relationship between the density of volatile substances and the density of air, the types of volatile substances to be matched are determined by matching the volatile substance data in a preset database. For example, under normal conditions, the density of toluene-type aromatic hydrocarbons in aromatic substances when they evaporate into gas is lower than that of air, while the density of phenylethanol in aromatic substances when they evaporate into gas is higher than that of air.

[0106] According to the determined type of volatile substances, the type of flower materials containing the volatile substances is determined by matching with the volatile substances of the flower materials. Then, according to the current monitoring point position, the flower materials containing the volatile substances that are closest to the current monitoring point position are determined. Then the type of flower materials is determined. For example, phenylethanol used for extracting rose essential oil from rose flowers has a rose smell and is an important component in rose essential oil.

[0107] According to the type of flowers, the specific area where the flowers are stored is determined, and the area is determined as an abnormal area.

[0108] Through the method provided in this embodiment, according to several real-time volatile amounts, by screening several real-time volatile amount concentrations, the location of the current monitoring point can be inferred. This is crucial for determining the location of the abnormal area. By comparing the density of volatile substances at the monitoring point location with the density of the surrounding air, the numerical relationship between the density of volatile substances and the density of air is analyzed. According to the numerical relationship between the density of volatile substances and the density of air, the type of volatile substances can be preliminarily determined. This provides a more accurate reference for the subsequent determination of the type of flower materials. Different flower materials will release different volatile organic compounds. By identifying the types of volatile substances, the possible types of flower materials are inferred. Combined with the inference results of the flower material types and the spatial distribution characteristics of the monitoring points, the specific location of the abnormal area is further determined. By monitoring the types and distribution patterns of volatile substances, the determination of the location of the abnormal area is more accurate.

[0109] In some embodiments, based on the location of the abnormal area, the real-time volatilization amount change information of the abnormal area is determined; based on the real-time volatilization amount change information and the humidity change information, several real-time volatilization amounts under different humidity conditions are determined; based on the several real-time volatilization amounts under different humidity conditions and the normal volatilization amount range, several humidity information when several real-time volatilization amounts under different humidity conditions are in the normal volatilization amount range is determined; based on the several humidity information, the humidity adjustment range is determined; and the humidity adjustment range is included in the several adjustment information.

[0110] The real-time volatilization amount change information may be information on changes in the real-time volatilization amount of the abnormal area under different conditions.

[0111] The humidity change information may be humidity information indicating that the humidity in the abnormal area has changed.

[0112] The humidity information may be the humidity when the real-time volatilization amount in the abnormal area is within the normal volatilization amount range.

[0113] The humidity adjustment range may be a humidity range of the humidity composition corresponding to when the real-time volatilization amount in the abnormal area is within the normal volatilization amount range.

[0114] Specifically, according to the location of the abnormal area, the real-time volatile volume data record and humidity data record of the area in the preset database are extracted, and the data recording time is determined according to the real-time volatile volume data record and humidity data record of the area. According to the data recording time, the real-time volatile volume change information and humidity change information of the area are determined.

[0115] By matching the recording time of the real-time volatilization amount change information and the humidity change information one by one, a number of real-time volatilization amounts corresponding to different humidity levels are determined.

[0116] The several real-time volatilization amounts corresponding to different humidity levels are compared with the normal volatilization amount range, and the several real-time volatilization amounts in the normal volatilization amount range among the several real-time volatilization amounts are determined, and the several humidities corresponding to the several real-time volatilization amounts in the normal volatilization amount range among the several real-time volatilization amounts determined after comparison form humidity information.

[0117] According to the humidity information, the maximum humidity value and the minimum humidity value are taken, and then the humidity adjustment range is determined according to the maximum humidity value and the minimum humidity value, and the humidity adjustment range is included in the adjustment information.

[0118] Through the method provided in this embodiment, by continuously monitoring the changes in the volatilization amount in the abnormal area, the dynamics of the volatile substances in the area can be grasped in real time, providing basic data for the subsequent humidity impact analysis and adjustment strategy. The scheme also takes into account the important factor of humidity and analyzes the changes in the volatilization amount under different humidity conditions. This helps to understand how humidity affects the release and diffusion of volatile substances and provides a basis for formulating targeted humidity adjustment strategies. By comparing with the normal volatilization amount range, it is determined whether the volatilization amount under different humidity conditions is within the normal range. Based on the analysis of the relationship between the volatilization amount and the humidity, the humidity adjustment range is determined. This range is determined to keep the volatilization amount within the normal range. The target range to which the humidity should be adjusted helps to better manage and control the environmental conditions in the abnormal area and reduce potential risks and impacts.

[0119] In some embodiments, based on the real-time volatilization amount change information and the temperature change information, several real-time volatilization amounts under different temperature conditions are determined; based on the several real-time volatilization amounts under different temperature conditions and the normal volatilization amount range, several temperature information when the several real-time volatilization amounts under different temperature conditions are in the normal volatilization amount range is determined; based on the several humidity information and the humidity adjustment range, several normal humidity information within the humidity adjustment range is determined in the several humidity information; based on the several normal humidity information, several normal temperature information is determined, and based on the several normal temperature information, the temperature adjustment range is determined; the temperature adjustment range is included in the several adjustment information.

[0120] According to the temperature change information and humidity change information, determine the humidity information under different temperature conditions, refer to formula (1):

[0121]

[0122] in, Indicates current temperature conditions Humidity information below, represents the nonlinear temperature influence coefficient, represents the linear temperature influence coefficient, Indicates the predicted humidity value; the temperature change information may be temperature information of the temperature change in the abnormal area.

[0123] The temperature information can be the temperature when the real-time volatility of the abnormal area is in the normal volatility range. According to the temperature change information and the humidity change information, several humidity information under different temperature conditions are determined.

[0124] Specifically, according to the location of the abnormal area, the real-time volatilization data record and the temperature data record of the area in the preset database are extracted, and the data recording time is determined according to the real-time volatilization data record and the temperature data record of the area. According to the data recording time, the real-time volatilization change information and the temperature change information of the area are determined.

[0125] According to the real-time volatilization amount change information and the temperature change information, by matching the recording time of the real-time volatilization amount change information and the humidity change information one by one, a number of real-time volatilization amounts corresponding to different temperatures are determined.

[0126] The real-time volatilization amounts corresponding to different temperatures are compared with the normal volatilization amount range, and the real-time volatilization amounts in the normal volatilization amount range are determined. The temperatures corresponding to the real-time volatilization amounts determined after comparison are combined into temperature information.

[0127] According to the temperature change information and humidity change information, determine the humidity information under different temperature conditions. Refer to formula (1). It represents the effect of nonlinear effect of temperature on humidity, that is, when humidity changes nonlinearly with temperature, the rate of change of humidity may not be constant, but accelerate or decelerate as the temperature increases. Indicates current temperature conditions The calculation of humidity information is subject to the current temperature conditions The extent of the impact. Indicates current temperature conditions The calculation of humidity information is subject to the current temperature conditions The degree of influence of the square term. Indicates the predicted humidity value under special temperature conditions, for example, when the temperature is 0. , The specific value of can be determined through experiments.

[0128] The plurality of humidity information obtained through the temperature change information is compared with the humidity adjustment range, and a plurality of normal humidity information within the humidity adjustment range is determined among the plurality of humidity information.

[0129] By matching the time of recording of the humidity information with the time of recording of the temperature information, the normal temperature information corresponding to the humidity information is determined. Then, according to the normal temperature information, the maximum temperature and the minimum temperature are taken, and the temperature adjustment range is determined according to the maximum temperature and the minimum temperature. And the temperature adjustment range is included in the adjustment information.

[0130] Through the method provided in this embodiment, the real-time volatilization amount under different temperature conditions can be accurately obtained by real-time monitoring of the changes in the volatilization amount and temperature. Combined with the normal volatilization amount interval, the temperature information under different temperature conditions that the volatilization amount is within the normal range is determined to provide accurate data support for subsequent humidity and temperature adjustments. The humidity information under different temperature conditions is calculated based on the temperature change and humidity change information using a formula, thereby realizing the correlation analysis between humidity and temperature. By comparing the humidity adjustment range, the humidity information within the normal humidity range can be screened out, and then the corresponding normal temperature information can be determined. Based on the temperature information corresponding to the normal humidity information, a reasonable temperature adjustment range can be determined. This temperature adjustment range helps control the temperature of flower storage. Incorporating the temperature adjustment range into the comprehensive adjustment information helps to quickly respond to environmental changes and adjust storage conditions in a timely manner.

[0131] In some embodiments, the real-time environment of the abnormal area is adjusted according to the humidity adjustment range and the temperature adjustment range to determine the adjustment result; according to the adjustment result, the adjusted humidity and the adjusted temperature are determined; according to the adjusted humidity and the adjusted temperature, the real-time volatilization amount of the abnormal area after the adjustment is determined; the real-time volatilization amount of the abnormal area after the adjustment is included in the historical volatilization amount data.

[0132] The adjustment result may be specific information after adjusting the real-time environmental information of the abnormal area according to the humidity adjustment range and the temperature adjustment range, such as specific temperature and humidity.

[0133] The adjusted humidity may be a specific humidity after adjusting the real-time environmental information of the abnormal area according to the humidity adjustment range.

[0134] The adjusted temperature may be a specific temperature after the real-time environmental information of the abnormal area is adjusted according to the temperature adjustment range.

[0135] Specifically, the real-time environment of the abnormal area is adjusted according to the humidity adjustment range and the temperature adjustment range, the time of the real-time volatilization amount change of the abnormal area is recorded in real time, and the adjustment result is determined.

[0136] According to the adjustment results, the time when the real-time volatilization volume of the abnormal area returns to normal is determined. According to the time when the real-time volatilization volume of the abnormal area returns to normal, the specific temperature and humidity at that time are determined. According to the specific temperature and specific humidity, the real-time volatilization volume of the abnormal area after adjustment is determined through mathematical processing technology. The real-time volatilization volume of the abnormal area after adjustment is included in the historical volatilization volume data to enrich the database.

[0137] Through the method provided by this embodiment, by monitoring the real-time environmental information of the abnormal area, and combining the previously determined humidity adjustment range and temperature adjustment range, accurate adjustment of the environmental information is achieved. After the environmental information is adjusted, the adjustment effect is evaluated by real-time monitoring of the volatility of the abnormal area after adjustment. The real-time volatility of the abnormal area after adjustment is included in the historical volatility data, enriching and improving the historical records of the real-time volatility in the preset database, making the data more timely and making the database information more valuable for reference.

[0138] In some embodiments, the real-time volatilization amount of the abnormal area after adjustment is determined according to the adjusted humidity and temperature, referring to formula (2):

[0139]

[0140] in, Indicates the real-time volatilization amount of the abnormal area after adjustment. Indicates the adjusted humidity. Indicates the adjusted temperature. represents the linear temperature influence coefficient, represents the linear humidity influence coefficient, represents the nonlinear temperature influence coefficient, represents the nonlinear humidity influence coefficient, represents the temperature-humidity interaction coefficient, Indicates the base value.

[0141] Specifically, in formula (2) It represents the nonlinear effect of the adjusted temperature on the real-time volatilization amount in the adjusted abnormal area, that is, in practical applications, many physical and chemical processes do not simply change linearly with temperature, but may have more complex nonlinear relationships.

[0142] It indicates the nonlinear effect of the adjusted humidity on the real-time volatilization amount in the adjusted abnormal area, that is, the change of humidity may also have a nonlinear effect on the volatilization amount, especially under certain humidity conditions, the change of volatilization amount may be more significant.

[0143] Represents the interaction between temperature and humidity. In practical applications, temperature and humidity often do not affect the volatilization independently, but may have an interactive effect. For example, under certain temperature and humidity combinations, the volatilization may reach a maximum or minimum value.

[0144] Indicates the adjusted temperature The calculation of real-time volatile amount is subject to the adjusted temperature The extent of the impact, Indicates the adjusted temperature The calculation of real-time volatile amount is subject to the adjusted temperature The degree of influence of the square term.

[0145] Indicates adjusted humidity The calculation of real-time volatile amount is subject to the adjusted humidity The extent of the impact, Indicates adjusted humidity The calculation of real-time volatile amount is subject to the adjusted humidity The degree of influence of the square term. represents the temperature-humidity interaction coefficient, which is used to quantify the effect of the interaction between the adjusted temperature and the adjusted humidity on the volatility. The constant term in the formula represents the base value or offset of the volatilization amount when both the temperature and humidity are 0. The specific value of can be determined through experiments.

[0146] Through the method provided in this embodiment, by introducing a real-time volatilization calculation formula that comprehensively considers the adjusted temperature and the adjusted humidity, an accurate estimation of the real-time volatilization in the abnormal area is achieved. The formula takes into account the linear effects of the adjusted temperature and the adjusted humidity on the real-time volatilization, and also considers their nonlinear effects and the interactions between them. Comprehensive consideration makes the estimation of the volatilization more comprehensive and accurate. By introducing nonlinear terms and interaction terms, the complex influence relationship between temperature and humidity on the volatilization can be more accurately described, thereby improving the estimation accuracy of the volatilization.

[0147] In some embodiments, if the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, it is determined whether the flower material type is light-sensitive flower material according to the flower material type corresponding to the position of the abnormal area; if the flower material type is light-sensitive flower material, the light intensity change information of the abnormal area is obtained; based on the real-time volatilization amount change information and the light intensity change information, several light intensity information when the real-time volatilization amounts under different light intensities are within the normal volatilization amount range is determined; based on the several light intensity information, the light intensity adjustment range is determined.

[0148] Light-sensitive flowers may be types of flowers that react more obviously to changes in light conditions.

[0149] The light intensity change information may be light intensity information indicating that the light intensity in the abnormal area has changed.

[0150] The light intensity information may be the light intensity corresponding to when the real-time volatilization amount of the abnormal area is within the normal volatilization amount range.

[0151] The illumination intensity adjustment range may be an illumination intensity range composed of illumination intensities corresponding to when the real-time volatilization amount in the abnormal area is within the normal volatilization amount range.

[0152] Specifically, when the real-time volatile amount of the abnormal area after adjustment is still not within the normal volatile amount range, the type of flower material corresponding to the position of the abnormal area is judged whether the type of flower material is light-sensitive. For example, certain components in the essential oils of bergamot and citrus peel plants, such as furanocoumarins, may become unstable under light, resulting in a decrease in the quality of the essential oil or a decrease in the extraction efficiency.

[0153] When the flower material corresponding to the abnormal area is a light-sensitive flower material, the data record of the light intensity of the area in the preset database is extracted, and the data recording time is determined according to the data record of the real-time volatilization amount and the data record of the light intensity of the area. According to the data recording time, the light intensity change information of the area is determined.

[0154] By matching the recording time of the real-time volatilization amount change information and the light intensity change information one by one, a number of real-time volatilization amounts corresponding to different light intensities are determined.

[0155] The real-time volatilization amounts corresponding to different light intensities are compared with the normal volatilization amount range, and the real-time volatilization amounts in the normal volatilization amount range are determined. The light intensities corresponding to the real-time volatilization amounts determined after comparison are combined into light intensity information.

[0156] According to a plurality of light intensity information, a maximum light intensity and a minimum light intensity are taken, and then a humidity adjustment range is determined according to the maximum light intensity and the minimum light intensity.

[0157] Through the method provided in this embodiment, when the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, it is determined whether it belongs to light-sensitive flower materials according to the type of flower materials corresponding to the abnormal area, so as to achieve in-depth analysis of the flower materials. For light-sensitive flower materials, the light intensity change information of the abnormal area is further obtained, and combined with the real-time volatilization amount change information, the light intensity information when the real-time volatilization amount is in the normal volatilization amount range under different light intensity conditions is analyzed, which provides data support for determining the light intensity adjustment range. Based on the light intensity information obtained from the analysis, a reasonable light intensity adjustment range is determined. This helps to scientifically guide the adjustment of light intensity to optimize the flower material storage environment, so that the volatilization amount of the flower material is within the normal volatilization amount range, thereby improving the quality of essential oil extraction.

[0158] Figure 3 A structural diagram of a flower material analysis management system provided in one embodiment of the present application is shown in FIG. Figure 3As shown, a flower material analysis and management system 300 of this embodiment includes: a monitoring area division module 301 , an abnormal area determination module 302 , an abnormal position determination module 303 , an adjustment information determination module 304 and an adjustment processing module 305 .

[0159] The monitoring area division module 301 is used to obtain warehouse structure information and determine a number of monitoring areas according to the warehouse structure information;

[0160] The abnormal area determination module 302 is used to obtain and analyze the real-time monitoring information of several monitoring areas, determine the real-time volatilization amount of several monitoring areas, obtain the historical volatilization amount data of several monitoring areas, and determine whether there is an abnormal area according to the real-time volatilization amount and historical volatilization amount data of several monitoring areas;

[0161] The abnormal position determination module 303 is used to determine the position of the abnormal area according to a number of real-time volatilization amounts if there is an abnormal area;

[0162] The adjustment information determination module 304 is used to determine the real-time environment information of the abnormal area according to the position of the abnormal area, and determine a number of adjustment information according to the real-time environment information;

[0163] The adjustment processing module 305 is used to perform normalization processing on the abnormal area according to some adjustment information.

[0164] Optionally, the monitoring area division module 301 is specifically used to: analyze warehouse structure information to determine the flower material storage area and storage area image; determine the storage location and storage area of ​​each flower material based on the flower material storage area and storage area image; divide the flower material storage area into several monitoring areas based on the storage location and storage area of ​​each flower material.

[0165] Optionally, the abnormal area determination module 302 is specifically used to: determine a normal volatility range based on historical volatility data; determine whether there is abnormal volatility in a number of real-time volatility based on a number of real-time volatility and the normal volatility range; if there is abnormal volatility, determine that there is an abnormal area.

[0166] Optionally, the abnormal position determination module 303 is specifically used to: determine the current monitoring point position based on a number of real-time volatilization amounts; determine the numerical relationship between the density of the volatile substance and the air density based on the current monitoring point position; determine the type of the volatile substance based on the numerical relationship; determine the type of flower material based on the type of volatile substance; and determine the position of the abnormal area based on the type of flower material.

[0167] Optionally, the adjustment information determination module 304 is specifically used to: determine the real-time volatilization amount change information of the abnormal area location according to the abnormal area location; determine a number of real-time volatilization amounts under different humidity conditions according to the real-time volatilization amount change information and the humidity change information; determine a number of humidity information when a number of real-time volatilization amounts under different humidity conditions are in the normal volatilization amount interval according to a number of real-time volatilization amounts under different humidity conditions and a normal volatilization amount interval; determine a humidity adjustment range according to a number of humidity information; and incorporate the humidity adjustment range into a number of adjustment information.

[0168] Optionally, the adjustment information determination module 304 is specifically used to: determine a number of real-time volatilization amounts under different temperature conditions according to the real-time volatilization amount change information and the temperature change information; determine a number of temperature information when the real-time volatilization amounts under different temperature conditions are in the normal volatilization amount interval according to the real-time volatilization amounts under different temperature conditions and the normal volatilization amount interval; determine a number of humidity information under different temperature conditions according to the temperature change information and the humidity change information, referring to the following formula:

[0169] ;

[0170] in, Indicates current temperature conditions Humidity information below, represents the nonlinear temperature influence coefficient, represents the linear temperature influence coefficient, Indicates the predicted humidity value; determines a number of normal humidity information within the humidity adjustment range in the number of humidity information according to the number of humidity information and the humidity adjustment range; determines a number of normal temperature information according to the number of normal humidity information, and determines the temperature adjustment range according to the number of normal temperature information; and incorporates the temperature adjustment range into the number of adjustment information.

[0171] Optionally, the adjustment processing module 305 is specifically used to: adjust the real-time environment of the abnormal area according to the humidity adjustment range and the temperature adjustment range, and determine the adjustment result; determine the adjusted humidity and the adjusted temperature according to the adjustment result, and determine the real-time volatilization amount of the abnormal area after adjustment according to the adjusted humidity and the adjusted temperature.

[0172] Optionally, the adjustment processing module 305 is specifically used to: obtain the adjusted humidity and temperature, and determine the real-time volatilization amount of the abnormal area after adjustment according to the adjusted humidity and temperature, referring to the following formula:

[0173] ;

[0174] in, Indicates the real-time volatilization amount of the abnormal area after adjustment. represents the adjusted humidity, represents the adjusted temperature, represents the linear temperature influence coefficient, represents the linear humidity influence coefficient, represents the nonlinear temperature influence coefficient, represents the nonlinear humidity influence coefficient, represents the temperature-humidity interaction coefficient, Indicates the base value.

[0175] Optionally, a flower material analysis and management system 300 also includes a light intensity adjustment module 306, which is specifically used to: if the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, determine whether the flower material type is light-sensitive flower material according to the flower material type corresponding to the position of the abnormal area; if the flower material type is light-sensitive flower material, obtain light intensity change information at the position of the abnormal area; determine several light intensity information when several real-time volatilization amounts under different light intensities are within the normal volatilization amount range according to the real-time volatilization amount change information and the light intensity change information; determine the light intensity adjustment range according to the several light intensity information.

[0176] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A flower material analysis and management method, characterized in that: include: Acquire warehouse structure information, and determine a number of monitoring areas according to the warehouse structure information; Acquire and analyze the real-time monitoring information of the plurality of monitoring areas, determine the real-time volatilization amount of the plurality of monitoring areas, acquire the historical volatilization amount data of the plurality of monitoring areas, and determine whether there is an abnormal area according to the real-time volatilization amount and the historical volatilization amount data of the plurality of monitoring areas; If the abnormal area exists, determine the location of the abnormal area according to the real-time volatilization amounts; Determine the real-time environment information of the abnormal area according to the position of the abnormal area, and determine some adjustment information according to the real-time environment information; performing normalization processing on the abnormal area according to the plurality of adjustment information; Determining a number of monitoring areas based on the warehouse structure information includes: Analyze the warehouse structure information to determine the flower material storage area and the storage area image; Determine the storage location and storage area of ​​each flower material storage according to the flower material storage area and the storage area image; According to the storage position and storage area of ​​each flower material, the flower material storage area is divided into a plurality of monitoring areas; The determining whether there is an abnormal area according to the real-time volatilization amount of the plurality of monitoring areas includes: Determining a normal volatility range according to the historical volatility data; According to the plurality of real-time volatilization amounts and the normal volatilization amount interval, determining whether there is an abnormal volatilization amount in the plurality of real-time volatilization amounts; If the abnormal volatilization amount exists, determining that the abnormal area exists; Determining the location of the abnormal area according to the real-time volatilization amounts includes: Determine the current monitoring point location according to the real-time volatilization amounts; Determining the numerical relationship between the density of the volatile substance and the density of the air according to the current monitoring point position; According to the numerical relationship, determining the type of volatile substances; Determining the type of flower material according to the types of volatile substances; Determining the location of the abnormal area according to the type of flower material; The real-time environmental information includes humidity change information, and the real-time environmental information of the abnormal area is determined according to the position of the abnormal area, and a number of adjustment information is determined according to the real-time environmental information, including: According to the abnormal area position, determining the real-time volatilization amount change information of the abnormal area position; Determine a plurality of real-time volatilization amounts under different humidity conditions according to the real-time volatilization amount change information and the humidity change information; According to the real-time volatilization amounts under the different humidity conditions and the normal volatilization amount interval, determining humidity information when the real-time volatilization amounts under the different humidity conditions are within the normal volatilization amount interval; Determining a humidity adjustment range according to the humidity information; Incorporating the humidity adjustment range into a number of adjustment information; The real-time environmental information also includes temperature change information. The real-time environmental information of the abnormal area is determined according to the position of the abnormal area, and several adjustment information is determined according to the real-time environmental information, including: Determining a plurality of real-time volatilization amounts under different temperature conditions according to the real-time volatilization amount change information and the temperature change information; According to the plurality of real-time volatilization amounts under the different temperature conditions and the normal volatilization amount interval, determining a plurality of temperature information when the plurality of real-time volatilization amounts under the different temperature conditions are in the normal volatilization amount interval; According to the temperature change information and the humidity change information, several humidity information under different temperature conditions are determined, referring to the following formula: H=cT 2 +dT+e; Where H represents the humidity information under the current temperature condition T, c represents the nonlinear temperature influence coefficient, d represents the linear temperature influence coefficient, and e represents the predicted humidity value; According to the plurality of humidity information and the humidity adjustment range, determining a plurality of normal humidity information within the humidity adjustment range among the plurality of humidity information; Determine a number of normal temperature information according to the number of normal humidity information, and determine a temperature adjustment range according to the number of normal temperature information; Incorporating the temperature adjustment range into a number of adjustment information; The normalizing the abnormal region according to the plurality of adjustment information includes: According to the humidity adjustment range and the temperature adjustment range, adjusting the real-time environment of the abnormal area, and determining an adjustment result; According to the adjustment result, the adjusted humidity and the adjusted temperature are determined, and according to the adjusted humidity and the adjusted temperature, the real-time volatilization amount of the abnormal area after the adjustment is determined.

2. The method according to claim 1, characterized in that According to the adjustment result, the adjusted humidity and the adjusted temperature are determined, and according to the adjusted humidity and the adjusted temperature, the real-time volatilization amount of the abnormal area after adjustment is determined, referring to the following formula: V=dF+βM+cF 2 +∈M 2 +ζFM+γ; Among them, V represents the real-time volatilization amount of the abnormal area after adjustment, M represents the adjusted humidity, F represents the adjusted temperature, d represents the linear temperature influence coefficient, β represents the linear humidity influence coefficient, c represents the nonlinear temperature influence coefficient, ∈ represents the nonlinear humidity influence coefficient, ζ represents the temperature and humidity interaction coefficient, and γ represents the basic value.

3. The method according to claim 1, characterized in that The method further comprises: If the real-time volatilization amount of the abnormal area after adjustment is still not within the normal volatilization amount range, judging whether the flower material type is a light-sensitive flower material according to the flower material type corresponding to the position of the abnormal area; If the flower material type is light-sensitive, then obtaining the light intensity change information of the abnormal area; According to the real-time volatilization amount change information and the light intensity change information, determining a plurality of light intensity information when the real-time volatilization amounts under different light intensities are within the normal volatilization amount range; According to the plurality of light intensity information, a light intensity adjustment range is determined.

4. A flower material analysis and management system, applied to the method according to claim 1, characterized in that: include: A monitoring area division module is used to obtain warehouse structure information and determine a number of monitoring areas according to the warehouse structure information; an abnormal area determination module, used to obtain and analyze the real-time monitoring information of the plurality of monitoring areas, determine the real-time volatilization amount of the plurality of monitoring areas, obtain the historical volatilization amount data of the plurality of monitoring areas, and determine whether there is an abnormal area according to the real-time volatilization amount and the historical volatilization amount data of the plurality of monitoring areas; An abnormal position determination module, used for determining the position of the abnormal area according to a number of the real-time volatilization amounts if the abnormal area exists; An adjustment information determination module, used to determine the real-time environment information of the abnormal area according to the position of the abnormal area, and determine a number of adjustment information according to the real-time environment information; The adjustment processing module is used to perform normalization processing on the abnormal area according to the plurality of adjustment information.

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