Intelligent warehouse management optimization system based on the Internet of Things

Abstract

The present invention relates to the technical field of intelligent warehouse management, and specifically to an intelligent warehouse management optimization system based on the Internet of Things, including a data acquisition module, a warehouse hygiene monitoring module, a material quality analysis module, a material inventory analysis module, a display and early warning module and a database. By monitoring and analyzing the sanitary status of each storage area in the warehouse, the safety of the material storage sanitary environment is effectively guaranteed, and a safe and reliable sanitary environment is provided for consumers. By monitoring and analyzing the quality of each material in each type of material in each storage area, the problem of insufficient quality monitoring of materials in the current intelligent warehouse management system is compensated, and potential quality problems are effectively discovered in time, so as to improve stable and safe material quality for consumers. At the same time, by monitoring and analyzing the inventory status of various types of materials corresponding to each storage area, it can help enterprises make correct inventory decisions, improve inventory management and operation efficiency and profit levels.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent warehouse management, and in particular to an intelligent warehouse management optimization system based on the Internet of Things. Background Art

[0002] With the continuous development and popularization of Internet of Things technology, the demand for intelligent warehouse management systems is growing. Traditional warehouse management systems usually adopt manual management methods, which are inefficient and prone to errors. At present, the market competition is increasingly fierce, and it is crucial for enterprises to improve production efficiency and reduce operating costs. Warehousing and logistics management is widely used in various industries. Designing and establishing a complete set of warehouse management processes, improving warehouse turnover efficiency, reducing the occupation of operating funds, turning frozen assets into cash, and reducing the costs caused by warehouse elimination are important links for enterprises to improve production efficiency.

[0003] Material inventory control is the core of warehouse management. Many companies have unreasonable material inventory control. For example, excessive inventory leads to material backlog, expiration, waste, etc., which increases storage and production costs. Insufficient inventory leads to supply exceeding demand, which hinders daily operations and reduces the company's daily profit income.

[0004] Due to the low level of automation and intelligence in warehouse management, it is impossible to effectively monitor the sanitary environment of the warehouse and ensure the sanitary conditions for the storage of materials. At the same time, it is also impossible to effectively monitor the quality of materials and discover quality problems of materials in time, which makes the current material quality monitoring of warehouse management insufficient and leads to quality risks.

[0005] Therefore, there is an urgent need for an intelligent warehouse management optimization system based on the Internet of Things to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent warehouse management optimization system based on the Internet of Things to solve the problems raised by the above-mentioned background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: An intelligent warehouse management optimization system based on the Internet of Things, comprising:

[0008] The data collection module is used to collect the basic storage information of the warehouse and send the basic storage information to the database for storage;

[0009] The warehouse hygiene monitoring module is used to monitor and analyze the hygiene status of each storage area in the warehouse, and obtain the hygiene status of each storage area in the warehouse. If the hygiene status of each storage area in the warehouse is unqualified, the early warning terminal is activated to execute the corresponding early warning and perform the hygiene cleaning operation;

[0010] The material quality analysis module is used to monitor the quality of each material in each storage area corresponding to each type of material in the warehouse, and analyze the quality assessment coefficient of each material in each storage area corresponding to each type of material, and obtain the quality assessment coefficient of each material in each storage area corresponding to each type of material. Based on the quality assessment coefficient of each material in each storage area corresponding to each type of material, the good quality and loss amount of each type of material in each storage area are analyzed, and the good quality and loss amount of each type of material in each storage area are obtained. The good quality of each type of material in each storage area is displayed in real time, and the loss amount of each type of material in each storage area is warned and the material loss processing operation is performed;

[0011] The material inventory analysis module is used to monitor and analyze the inventory status of various types of materials in each storage area, and obtain the inventory status of various types of materials in each storage area. If the inventory status of various types of materials in the storage area is oversufficient or insufficient, the early warning terminal is activated to execute the corresponding early warning;

[0012] The display and warning module is used to display the sanitary status of each storage area accordingly. If the sanitary status of each storage area is unqualified, the corresponding warning will be activated; it is used to display and warn the level of overstock and understock of various types of materials in each storage area, and take measures at the corresponding level;

[0013] The database is used to store the basic storage information of the warehouse, the initial outline of the materials, and the time when the materials were sold.

[0014] As a further improvement of the present invention, the sanitation status of each storage area in the warehouse is monitored and analyzed, and the specific execution steps are as follows:

[0015] The images of each storage area in the warehouse are collected in all directions by the intelligent camera to obtain the image set of each storage area in the warehouse. The images of each storage area are divided into several small areas, and the color of the small area is recognized. The color is compared with the preset dirty color. If the color of the small area is consistent with the preset dirty color, the small area is judged to be a dirty area. The number of small areas that are dirty in the image of each storage area is counted to obtain the number of dirty areas in each storage area, which is recorded as N. i At the same time, the small area areas corresponding to the dirty places in each storage area are summed up to get the total dirty area of ​​each storage area, which is recorded as

[0016] The bacterial content of each storage area in the warehouse is tested by a bacterial detector to obtain the bacterial content of each storage area in the warehouse, which is recorded as C i ;

[0017] According to the formula Calculate the sanitation environment assessment index δ of each storage area in the warehouse i , i represents the number of each storage area in the warehouse, i=1,2,...,n, n represents a positive integer, e represents a natural constant, N i '、 C i 'respectively represent the number of dirty places allowed in each storage area of ​​the warehouse, the total dirty area allowed in each storage area, and the bacterial content allowed in each storage area stored in the database, and a1, a2, and a3 represent the set weight factors respectively;

[0018] The sanitary environment assessment index of each storage area in the warehouse is compared with the set sanitary environment assessment index threshold of each storage area in the warehouse. If the sanitary environment assessment index of each storage area in the warehouse is less than the set sanitary environment assessment index threshold, the sanitary status of each storage area in the warehouse is judged to be unqualified; otherwise, the sanitary status of each storage area in the warehouse is qualified.

[0019] As a further improvement of the present invention, the quality of each material in each storage area corresponding to each type of material in the warehouse is monitored, and the specific monitoring steps are as follows:

[0020] In the warehouse, detection points are evenly arranged on the surface of each material in each storage area corresponding to each type of material. The surface temperature of each monitoring point on each material in each storage area corresponding to each type of material is detected by a temperature sensor to obtain the surface temperature of each monitoring point on each material in each storage area corresponding to each type of material. The average value is calculated to obtain the average surface temperature of each material in each storage area corresponding to each type of material as the judgment surface temperature wd of each material in each storage area corresponding to each type of material. i f j , where various types of materials are specifically different types of materials corresponding to different material attributes, j represents the number of various types of materials, j = 1, 2, ..., m, m represents a positive integer, f represents the number of each material, f = 1, 2, ..., g, g represents a positive integer, and at the same time, the reference placement temperature corresponding to each type of material in each storage area in the warehouse is extracted from the database as the reference placement temperature of each material in each storage area corresponding to each type of material

[0021] The smart camera is used to collect the apparent images of each material in each storage area corresponding to each type of material in the warehouse, and the apparent images of each material in each storage area corresponding to each type of material are obtained, and the number of surface damage points of each material in each storage area corresponding to each type of material is extracted from them. and total surface damage area

[0022] Extract the number of surface depressions of each material in each storage area from the surface image of each material in each storage area and the total volume of surface depressions

[0023] Extracting the surface contours of each material in each storage area from the apparent images of each material in each storage area, and obtaining the contours of each pollutant on the surface of each material in each storage area from the apparent images of each material in each storage area, and removing the contours of each pollutant from the surface contours of each material in each storage area, so as to obtain the net contours of each material in each storage area;

[0024] Extract the initial contours of each storage area corresponding to each type of material from the database, and compare the net contours of each material in each storage area with the corresponding initial contours to obtain the overlapping contours of each material in each storage area, and at the same time obtain the area of ​​the overlapping contours of each material in each storage area. The area D corresponding to the initial contour of each type of material in each storage area ij初始 ;

[0025] Extract the production date and shelf life of each material in each storage area corresponding to each type of material from the database, and obtain the date corresponding to the current monitoring time point. Subtract the production date of each material in each storage area corresponding to each type of material from the date corresponding to the current monitoring time point, and record it as the placement time, and obtain the placement time of each material in each storage area corresponding to each type of material

[0026] Based on the production date, shelf life and date corresponding to the current monitoring time point of each material in each storage area, the available storage time of each material in each storage area is obtained, thereby obtaining the available storage time of each material in each storage area.

[0027] The quality parameters of each material in each storage area corresponding to each type of material are composed of the determined surface temperature, the number of surface damaged parts, the total area of ​​surface damaged parts, the number of surface depressions, the total volume of surface depressions, the area of ​​overlapping contours, the placement time, and the available placement time.

[0028] As a further improvement of the present invention, the quality assessment coefficient of each material in each type of material in each storage area is analyzed, and the specific analysis process is as follows:

[0029] Comprehensively analyze the determined surface temperature of each material in each storage area and its corresponding reference placement temperature to obtain the storage temperature evaluation index of each material in each storage area.

[0030] A comprehensive analysis is conducted on the number of surface damages, total surface damage area, number of surface depressions, total volume of surface depressions, and area of ​​overlapping contours of each type of material in each storage area to obtain the surface deformation degree assessment index of each type of material in each storage area.

[0031] Comprehensively analyze the storage time and available storage time of each material in each storage area, and obtain the storage time evaluation index of each material in each storage area.

[0032] According to the formula Calculate the quality assessment coefficient of each material in each storage area corresponding to each type of material b1, b2, b3, and b4 represent set coefficient factors respectively.

[0033] As a further improvement of the present invention, the quantity of good products and the quantity of loss of various types of materials in each storage area are analyzed based on the quality evaluation coefficient of each material in each storage area. The specific analysis process is as follows:

[0034] Compare the quality assessment coefficient of each material in each storage area with the set quality assessment coefficient threshold. If the quality assessment coefficient of a material is less than the set quality assessment coefficient threshold, the material is recorded as a loss material. Otherwise, the material is recorded as a good material.

[0035] The number of loss materials corresponding to each type of material in each storage area is counted, and used as the loss amount of each type of material in each storage area. At the same time, the number of good materials corresponding to each type of material in each storage area is counted, and used as the good amount of each type of material in each storage area. In this way, the good amount and loss amount of each type of material in each storage area are obtained.

[0036] As a further improvement of the present invention, the inventory status of various types of materials in each storage area is monitored and analyzed, and the specific execution steps are as follows:

[0037] Extract the incoming and in-warehouse quantities of various types of materials in each storage area during the set monitoring period from the database, and then subtract the incoming and in-warehouse quantities of various types of materials in each storage area to obtain the outgoing quantities of various types of materials in each storage area during the set monitoring period, marked as

[0038] Extract the latest sales time point of each type of material in each storage area within the set monitoring period from the database, and obtain the previous sales time point at the same time, perform difference calculation, and obtain the sales time interval of each type of material in each storage area within the set monitoring period, marked as

[0039] Extract the storage time and outbound time of various types of materials in each storage area during the set monitoring period from the database, and then subtract the storage time and outbound time of various types of materials in each storage area to obtain the inventory time of various types of materials in each storage area, which is marked as

[0040] The sales volume of various types of materials in each storage area during the set monitoring period is extracted from the database, and the sales volume of various types of materials in each storage area is analyzed to obtain the sales value of various types of materials in each storage area, which is marked as

[0041] According to the formula Calculate the inventory evaluation index for each type of material in each storage area b5, b6, b7, and b8 represent the set weight factors respectively;

[0042] The inventory assessment index of each storage area corresponding to various types of materials is compared with the set inventory assessment index threshold range of each storage area corresponding to various types of materials. If the inventory assessment index of each storage area corresponding to various types of materials is less than the set inventory assessment coefficient threshold value 1, it is determined that the inventory of each storage area corresponding to various types of materials is insufficient; if the inventory assessment index of each storage area corresponding to various types of materials is greater than the set inventory assessment coefficient threshold value 2, it is determined that the inventory of each storage area corresponding to various types of materials is excessive.

[0043] Beneficial effects of the present invention:

[0044] The present invention monitors the sanitary status of each storage area in the warehouse, obtains the number of dirty places, the total dirty area and the bacterial content, conducts a comprehensive analysis and calculates the sanitary environment evaluation index of each storage area according to a formula, and analyzes the sanitary status according to a threshold comparison method, thereby achieving timely early warning when the sanitary status is unqualified, effectively ensuring the safety of the sanitary environment of material storage, providing consumers with a safe and reliable sanitary environment, reducing the losses and risks caused by material contamination, and further ensuring the timeliness of the response to internal cleaning of the storage area.

[0045] The present invention monitors and analyzes the quality of various types of materials corresponding to various storage areas in the warehouse, obtains the storage temperature assessment index, surface deformation degree assessment index, and placement time assessment index of each material in each storage area, and further conducts a comprehensive analysis with the sanitary environment assessment index of each storage area, and obtains the quality assessment coefficient of each material in each storage area corresponding to various types of materials according to the formula and the threshold comparison method to obtain the quantity of good products and the quantity of loss, thereby achieving timely early warning of the material loss, compensating for the problem of insufficient quality monitoring of materials in the current intelligent warehouse management system, effectively ensuring the timely discovery of potential quality problems, avoiding the occurrence of quality problems, reducing the number of defective materials and after-sales problems, and improving stable and safe material quality for consumers.

[0046] By monitoring and analyzing the inventory status of various types of materials in each storage area, the present invention can optimize inventory planning, reduce inventory risks, and avoid overstocking or understocking under real-time inventory monitoring, thereby helping enterprises make correct inventory decisions and improving inventory management and operational efficiency as well as profit levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention will be further described below in conjunction with the accompanying drawings.

[0048] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] See also Figure 1 As shown, the present invention is an intelligent warehouse management optimization system based on the Internet of Things, including a data acquisition module, a warehouse hygiene monitoring module, a material quality analysis module, a material inventory analysis module, a display and early warning module and a database.

[0051] The data collection module collects the basic storage information of the warehouse and sends it to the database for storage. The basic storage information includes the material's name, specification, location, production date, shelf life, inventory quantity, entry time, exit time, daily entry and exit quantities, and sales volume. The database also stores the initial outline of the warehouse materials and the time when the materials were sold.

[0052] The warehouse hygiene monitoring module monitors and analyzes the hygiene status of each storage area in the warehouse. The specific implementation steps are as follows:

[0053] The images of each storage area in the warehouse are collected in all directions by the intelligent camera to obtain the image set of each storage area in the warehouse. The images of each storage area are divided into several small areas, and the color of the small area is recognized. The color is compared with the preset dirty color. If the color of the small area is consistent with the preset dirty color, the small area is judged to be a dirty area. The number of small areas that are dirty in the image of each storage area is counted to obtain the number of dirty areas in each storage area, which is recorded as N. i At the same time, the small area areas corresponding to the dirty places in each storage area are summed up to get the total dirty area of ​​each storage area, which is recorded as

[0054] The bacterial content of each storage area in the warehouse is tested by a bacterial detector to obtain the bacterial content of each storage area in the warehouse, which is recorded as C i ;

[0055] According to the formula Calculate the sanitation environment assessment index δ of each storage area in the warehouse i , i represents the number of each storage area in the warehouse, i=1,2,...,n, n represents a positive integer, e represents a natural constant, N i '、 C i 'respectively represent the number of dirty places allowed in each storage area of ​​the warehouse, the total dirty area allowed in each storage area, and the bacterial content allowed in each storage area stored in the database, and a1, a2, and a3 represent the set weight factors respectively;

[0056] Compare the sanitation environment assessment index of each storage area in the warehouse with the set sanitation environment assessment index threshold of each storage area in the warehouse. If the sanitation environment assessment index of each storage area in the warehouse is less than the set sanitation environment assessment index threshold, then the sanitation status of each storage area in the warehouse is judged to be unqualified; otherwise, the sanitation status of each storage area in the warehouse is qualified;

[0057] When the sanitation status of each storage area in the warehouse is unqualified, the early warning terminal is activated to execute the corresponding early warning and perform sanitation cleaning operations. The specific process of the sanitation cleaning operation is as follows:

[0058] Three cleaning operations are set, namely, cleaning operation 1, cleaning operation 2, and cleaning operation 3. Each cleaning operation corresponds to an index range, and the sanitary environment assessment index is matched with the three cleaning operations;

[0059] If the sanitation environment assessment index is within the index range corresponding to the cleaning operation 1, the warehouse cleaning robot is controlled to reach the dirty places corresponding to each storage area for cleaning and adjust the robot's working gear to level 1, and at the same time, the sterilization equipment is controlled to perform sterilization. The control time is the working time 1, and the length of the working time 1 is customized by technicians in this field, such as 10 minutes for the working time 1;

[0060] If the sanitation environment assessment index falls within the index range corresponding to the cleaning operation 2, the warehouse cleaning robot is controlled to reach the dirty places corresponding to each storage area for cleaning and adjust the robot's working gear to the second level, and at the same time, the sterilization equipment is controlled to perform sterilization. The control time is the working time 2, and the size of the working time 2 is customized by technicians in this field, such as 30 minutes for the working time 2;

[0061] If the sanitary environment assessment index falls within the index range corresponding to the cleaning operation three, the warehouse cleaning robot is controlled to reach the dirty areas corresponding to each storage area for cleaning and adjust the robot's working gear level three. At the same time, the sterilization equipment is controlled to perform sterilization. The control time is the working time three. The size of the working time three is customized by technical personnel in this field, such as the working time three is 60 minutes.

[0062] The material quality analysis module monitors the quality of each material in each storage area of ​​the warehouse. The specific monitoring steps are as follows:

[0063] In the warehouse, detection points are evenly arranged on the surface of each material in each storage area corresponding to each type of material. The surface temperature of each monitoring point on each material in each storage area corresponding to each type of material is detected by a temperature sensor to obtain the surface temperature of each monitoring point on each material in each storage area corresponding to each type of material. The average value is calculated to obtain the average surface temperature of each material in each storage area corresponding to each type of material as the judgment surface temperature wd of each material in each storage area corresponding to each type of material. i f j , where various types of materials are specifically different types of materials corresponding to different material attributes, j represents the number of various types of materials, j = 1, 2, ..., m, m represents a positive integer, f represents the number of each material, f = 1, 2, ..., g, g represents a positive integer, and at the same time, the reference placement temperature corresponding to each type of material in each storage area in the warehouse is extracted from the database as the reference placement temperature of each material in each storage area corresponding to each type of material

[0064] The smart camera is used to collect the apparent images of each material in each storage area corresponding to each type of material in the warehouse, and the apparent images of each material in each storage area corresponding to each type of material are obtained, and the number of surface damage points of each material in each storage area corresponding to each type of material is extracted from them. and the total surface damage area S i f j ;

[0065] Extract the number of surface depressions of each material in each storage area from the surface image of each material in each storage area and the total volume of surface depressions

[0066] Extracting the surface contours of each material in each storage area from the apparent images of each material in each storage area, and obtaining the contours of each pollutant on the surface of each material in each storage area from the apparent images of each material in each storage area, and removing the contours of each pollutant from the surface contours of each material in each storage area, so as to obtain the net contours of each material in each storage area;

[0067] Extract the initial contours of each storage area corresponding to each type of material from the database, and compare the net contours of each material in each storage area with the corresponding initial contours to obtain the overlapping contours of each material in each storage area, and at the same time obtain the area of ​​the overlapping contours of each material in each storage area. The area D corresponding to the initial contour of each type of material in each storage area ij初始 ;

[0068] Extract the production date and shelf life of each material in each storage area corresponding to each type of material from the database, and obtain the date corresponding to the current monitoring time point. Subtract the production date of each material in each storage area corresponding to each type of material from the date corresponding to the current monitoring time point, and record it as the placement time, and obtain the placement time of each material in each storage area corresponding to each type of material

[0069] Based on the production date, shelf life and date corresponding to the current monitoring time point of each material in each storage area, the available storage time of each material in each storage area is obtained, thereby obtaining the available storage time of each material in each storage area.

[0070] The quality parameters of each material in each storage area corresponding to each type of material are composed of the determined surface temperature, the number of surface damaged parts, the total area of ​​surface damaged parts, the number of surface depressions, the total volume of surface depressions, the area of ​​overlapping contours, the placement time, and the available placement time.

[0071] The quality assessment coefficient of each material in each storage area corresponding to each type of material is analyzed. The specific analysis process is as follows:

[0072] According to the formula Calculate the storage temperature assessment index of each material in each storage area corresponding to each type of material e is represented by a natural constant, Δwd ij 'It represents the allowable storage temperature difference of the jth type of material in the i-th storage area stored in the database;

[0073] The number of surface damage, total surface damage area, number of surface depressions, and total volume of surface depressions of each type of material in each storage area are normalized and their values ​​are taken. At the same time, according to the formula Calculate the surface deformation evaluation index of each material in each storage area corresponding to each type of material a4, a5, a6, a7, and a8 represent the set weight factors respectively;

[0074] According to the formula Calculate the placement time evaluation index of each material in each storage area corresponding to each type of material T ij Placed ′, T ij Can be placed' represents the reference placed time and reference available placed time corresponding to the jth material type in the i-th storage area stored in the database, and a9 and a10 represent the set weight factors respectively;

[0075] According to the formula Calculate the quality assessment coefficient of each material in each storage area corresponding to each type of material b1, b2, b3, and b4 represent set coefficient factors respectively.

[0076] Based on the quality assessment coefficient of each material in each storage area, the quantity of good products and the quantity of loss of each type of material in each storage area are analyzed. The specific analysis process is as follows:

[0077] Compare the quality assessment coefficient of each material in each storage area with the set quality assessment coefficient threshold. If the quality assessment coefficient of a material is less than the set quality assessment coefficient threshold, the material is recorded as a loss material. Otherwise, the material is recorded as a good material.

[0078] The number of wasted materials corresponding to each type of material in each storage area is counted, and it is used as the wastage amount of each type of material in each storage area. At the same time, the number of good materials corresponding to each type of material in each storage area is counted, and it is used as the good quantity of each type of material in each storage area. In this way, the good quantity and wastage amount of each type of material in each storage area are obtained.

[0079] By displaying the quantity of good products of various types of materials in each storage area in real time, early warning of the loss of various types of materials in each storage area is issued and material loss processing operations are performed;

[0080] The specific process of material loss processing operation is as follows:

[0081] Three processing operations are set, namely, processing operation 1, processing operation 2, and processing operation 3. Each processing operation corresponds to a material loss amount interval, and the material loss amount interval is matched with the three processing operations;

[0082] If the material loss belongs to the material loss range corresponding to the processing operation, identify the name and specification of the material, match the preset packaging value according to the name and specification, multiply the packaging preset value and the material loss by the corresponding weight factor respectively, and then sum them to obtain the packaging basic value, set several packaging methods, each packaging method corresponds to a value range, match the packaging basic value with several value ranges, if the packaging basic value belongs to the value range, obtain the packaging method corresponding to the value range, and package and store the material with the obtained packaging method, so as to adopt appropriate packaging and storage methods and reduce the loss of materials. The value range of the packaging method is proportional to the packaging basic value. The greater the material loss, the higher the corresponding packaging level.

[0083] If the material loss amount belongs to the material loss amount interval corresponding to the processing operation 2, obtain the corresponding outbound quantity and sales quantity of the material, match the preset storage area preset value according to the outbound quantity and sales quantity, multiply the storage area preset value and the material loss amount by the corresponding weight factor respectively, and then sum them to get the storage area basic value, set several storage area positions, each storage area position corresponds to a value range, match the storage area basic value with several value ranges, if the storage area basic value belongs to the value range, obtain the storage area position corresponding to the value range, and put the material into the obtained storage area position for storage, so as to place the material in a position that is easy to obtain and easy to check, and reduce the material loss amount. The value range of the storage area is proportional to the storage area basic value. The greater the material loss amount, the closer the corresponding storage area position is to the warehouse gate, and the easier it is to transport out of the warehouse;

[0084] If the material loss amount belongs to the material loss amount range corresponding to processing operation three, the material is marked as returned material, a label is generated for returning to the manufacturer for reprocessing, repair and reuse, and the label is sent to the manufacturer, and the returned material is sent to the manufacturer at the same time.

[0085] The material inventory analysis module monitors and analyzes the inventory status of various types of materials in each storage area. The specific implementation steps are as follows:

[0086] Extract the incoming and in-warehouse quantities of various types of materials in each storage area during the set monitoring period from the database, and then subtract the incoming and in-warehouse quantities of various types of materials in each storage area to obtain the outgoing quantities of various types of materials in each storage area during the set monitoring period, marked as

[0087] Extract the latest sales time point of each type of material in each storage area within the set monitoring period from the database, and obtain the previous sales time point at the same time, perform difference calculation, and obtain the sales time interval of each type of material in each storage area within the set monitoring period, marked as

[0088] Extract the storage time and outbound time of various types of materials in each storage area during the set monitoring period from the database, and then subtract the storage time and outbound time of various types of materials in each storage area to obtain the inventory time of various types of materials in each storage area, which is marked as

[0089] The sales volume of various types of materials in each storage area during the set monitoring period is extracted from the database, and the sales volume of various types of materials in each storage area is analyzed to obtain the sales value of various types of materials in each storage area, which is marked as

[0090] According to the formula Calculate the inventory evaluation index for each type of material in each storage area b5, b6, b7, and b8 represent the set weight factors respectively;

[0091] The inventory assessment index of each storage area corresponding to various types of materials is compared with the set inventory assessment index threshold range of each storage area corresponding to various types of materials. If the inventory assessment index of each storage area corresponding to various types of materials is less than the set inventory assessment coefficient threshold value 1, it is determined that the inventory of each storage area corresponding to various types of materials is insufficient; if the inventory assessment index of each storage area corresponding to various types of materials is greater than the set inventory assessment coefficient threshold value 2, it is determined that the inventory of each storage area corresponding to various types of materials is excessive.

[0092] Based on the insufficient inventory status, set the insufficient inventory status levels one, two, and three. If the insufficient inventory status is at level one, a reminder of insufficient inventory of the material will be sent to the corresponding material manufacturer to promptly remind the manufacturer to replenish the material and increase the daily material inventory and frequency. If the insufficient inventory status is at level two, a notification will be sent to the material manufacturer to increase the working hours of the production line and to work in shifts for employees to solve the current insufficient material inventory problem as quickly as possible. If the insufficient inventory status is at level three, the market procurement department will be notified to urgently allocate materials and use multiple supplier channels to promptly retrieve materials for replenishment. Suppliers with closer distances will be given priority and the purchase volume will be given priority.

[0093] Based on the overstock status, set the overstock status level one, two, and three. If the overstock status is at level one, notify the export department to hold promotional activities and discounts; if the overstock status is at level two, send a notification to the export department to conduct market research and find other channels for wholesale sales; if the overstock status is at level three, send a notification to the supplier for return and refund.

[0094] The display and warning module displays the hygiene status of each storage area accordingly. If the hygiene status of each storage area is unqualified, the corresponding warning will be activated; the inventory levels of various types of materials in each storage area are displayed and warned accordingly, and measures will be taken at the corresponding level.

[0095] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. The intelligent warehouse management optimization system based on the Internet of Things includes a data acquisition module and a database, which is characterized by: It also includes warehouse hygiene monitoring module, material quality analysis module, material inventory analysis module, and display warning module; The data collection module is used to collect basic storage information of the warehouse and send the basic storage information to the database for storage. The database also stores the initial outline of the warehouse materials and the time point of material sales; The warehouse hygiene monitoring module is used to monitor and analyze the hygiene status of each storage area in the warehouse, obtain the hygiene status of each storage area in the warehouse, and if the hygiene status of each storage area in the warehouse is unqualified, start the early warning terminal to execute the corresponding early warning and perform the hygiene cleaning operation; The specific steps of monitoring and analyzing the sanitary status of each storage area in the warehouse are as follows: The images of each storage area in the warehouse are collected in all directions by using smart cameras to obtain a collection of images of each storage area in the warehouse. The images of each storage area are divided into several small areas, and the color of the small areas is recognized. The color is compared with the preset dirty color. If the color of the small area is consistent with the preset dirty color, the small area is judged to be a dirty area. The number of small areas that are dirty in the images of each storage area is counted to obtain the number of dirty areas in each storage area. At the same time, the area of ​​the small areas corresponding to the dirty areas of each storage area is summed to obtain the total dirty area of ​​each storage area. The bacteria content of each storage area in the warehouse is tested by a bacteria detector to obtain the bacteria content of each storage area in the warehouse; Comprehensively analyze the number of dirty places, total dirty area and bacterial content in each storage area of ​​the warehouse to obtain the sanitary environment assessment index of each storage area in the warehouse corresponding to the material; Compare the sanitation environment assessment index of each storage area in the warehouse with the set sanitation environment assessment index threshold of each storage area in the warehouse. If the sanitation environment assessment index of each storage area in the warehouse is less than the set sanitation environment assessment index threshold, then the sanitation status of each storage area in the warehouse is judged to be unqualified; otherwise, the sanitation status of each storage area in the warehouse is qualified; When the sanitation status of each storage area in the warehouse is unqualified, the early warning terminal is activated to execute the corresponding early warning and perform sanitation cleaning operations. The specific process of the sanitation cleaning operation is as follows: Three cleaning operations are set, namely, cleaning operation 1, cleaning operation 2, and cleaning operation 3. Each cleaning operation corresponds to an index range, and the sanitary environment assessment index is matched with the three cleaning operations; If the sanitation environment assessment index falls within the index range corresponding to cleaning operation one, the warehouse cleaning robot is controlled to reach the dirty places corresponding to each storage area for cleaning and adjust the robot's working gear to level one, and at the same time, the sterilization equipment is controlled to perform sterilization treatment, and the control time is working time one; If the sanitation environment assessment index falls within the index range corresponding to cleaning operation 2, the warehouse cleaning robot is controlled to reach the dirty places corresponding to each storage area for cleaning and adjust the robot's working gear to level 2. At the same time, the sterilization equipment is controlled to perform sterilization treatment, and the controlled time is working time 2; If the sanitation environment assessment index falls within the index range corresponding to cleaning operation three, the warehouse cleaning robot is controlled to reach the dirty places corresponding to each storage area for cleaning and adjust the robot's working gear to level three. At the same time, the sterilization equipment is controlled to perform sterilization treatment, and the control time is working time three; The material quality analysis module is used to monitor the quality of each material in each storage area corresponding to each type of material in the warehouse, and thereby analyze the quality assessment coefficient of each material in each storage area corresponding to each type of material, and obtain the quality assessment coefficient of each material in each storage area corresponding to each type of material. Based on the quality assessment coefficient of each material in each storage area corresponding to each type of material, the good quality and loss amount of each type of material in each storage area are analyzed, thereby obtaining the good quality and loss amount of each type of material in each storage area. By displaying the good quality of each type of material in each storage area in real time, the loss amount of each type of material in each storage area is warned and the material loss processing operation is performed; The quality of each material in each storage area of ​​the warehouse corresponding to each type of material is monitored, and the specific monitoring steps are as follows: The surface temperature of each monitoring point on each material in each storage area corresponding to each type of material is detected by a temperature sensor to obtain the surface temperature of each monitoring point on each material in each storage area corresponding to each type of material, and the average value is calculated to obtain the average surface temperature of each material in each storage area corresponding to each type of material, which is used as the determination surface temperature of each material in each storage area corresponding to each type of material. At the same time, the reference placement temperature corresponding to each type of material in each storage area in the warehouse is extracted from the database as the reference placement temperature of each material in each storage area corresponding to each type of material; The surface images of each material in each storage area corresponding to each type of material in the warehouse are collected by intelligent cameras to obtain the surface images of each material in each storage area corresponding to each type of material, and the number of surface damaged parts, the total surface damaged area, the number of surface depressions and the total volume of surface depressions of each material in each storage area corresponding to each type of material are extracted therefrom; Extracting the surface contours of each material in each storage area from the apparent images of each material in each storage area, and obtaining the contours of each pollutant on the surface of each material in each storage area from the apparent images of each material in each storage area, and removing the contours of each pollutant from the surface contours of each material in each storage area, so as to obtain the net contours of each material in each storage area; Extract the initial contours of various types of materials in each storage area from the database, and compare the net contours of each material in each storage area with the initial contours to obtain the overlapped contours of each material in each storage area, and obtain the areas of the overlapped contours of each material in each storage area and the areas of the initial contours of each material in each storage area; Extract the production date and shelf life of each material in each storage area corresponding to each type of material from the database, and obtain the date corresponding to the current monitoring time point, thereby subtracting the production date of each material in each storage area corresponding to each type of material and the date corresponding to the current monitoring time point, and recording it as the placement time, to obtain the placement time of each material in each storage area corresponding to each type of material; Based on the production date, shelf life and date corresponding to the current monitoring time point of each material in each storage area, the available storage time of each material in each storage area is obtained, thereby obtaining the available storage time of each material in each storage area; The quality parameters of each material in each storage area corresponding to each type of material are composed of the determined surface temperature, the number of surface damage points, the total surface damage area, the number of surface depressions, the total volume of surface depressions, the area of ​​overlapping contours, the storage time, and the storage time that can be stored. The quality assessment coefficient of each material in each type of material in each storage area is analyzed, and the specific analysis process is as follows: Comprehensively analyze the determined surface temperature of each material in each storage area and its corresponding reference placement temperature to obtain the storage temperature evaluation index of each material in each storage area; Comprehensively analyze the number of surface damage, total surface damage area, number of surface depressions, total volume of surface depressions and area of ​​overlapping contours of each material in each storage area, and obtain the surface deformation degree assessment index of each material in each storage area; Comprehensively analyze the storage time and available storage time of each material in each storage area, and obtain the storage time evaluation index of each material in each storage area. Comprehensively analyze the storage temperature assessment index, surface deformation assessment index, storage time assessment index and sanitary environment assessment index of each storage area, and obtain the quality assessment coefficient of each material in each storage area. The quality assessment coefficient of each material in each storage area corresponding to each type of material is used to analyze the quantity of good products and the quantity of loss of each type of material in each storage area. The specific analysis process is as follows: Compare the quality assessment coefficient of each material in each storage area with the set quality assessment coefficient threshold. If the quality assessment coefficient of a material is less than the set quality assessment coefficient threshold, the material is recorded as a loss material. Otherwise, the material is recorded as a good material. The number of wasted materials corresponding to each type of material in each storage area is counted, and it is used as the wastage amount of each type of material in each storage area. At the same time, the number of good materials corresponding to each type of material in each storage area is counted, and it is used as the good quantity of each type of material in each storage area. In this way, the good quantity and wastage amount of each type of material in each storage area are obtained. By displaying the quantity of good products of various types of materials in each storage area in real time, early warning of the loss of various types of materials in each storage area is issued and material loss processing operations are performed; The specific process of material loss processing operation is as follows: Three processing operations are set, namely, processing operation 1, processing operation 2, and processing operation 3. Each processing operation corresponds to a material loss amount interval, and the material loss amount interval is matched with the three processing operations; If the material loss amount belongs to the material loss amount interval corresponding to the processing operation 1, identify the name and specification corresponding to the material, match the preset packaging preset value according to the name and specification, multiply the packaging preset value and the material loss amount by the corresponding weight factor respectively, and then sum them to obtain the packaging basic value, set several packaging methods, each packaging method corresponds to a value range, match the packaging basic value with several value ranges, if the packaging basic value belongs to the value range, obtain the packaging method corresponding to the value range, and package and store the material with the obtained packaging method; If the material loss amount belongs to the material loss amount interval corresponding to the processing operation 2, obtain the corresponding outbound quantity and sales quantity of the material, match the preset storage area preset value according to the outbound quantity and sales quantity, multiply the storage area preset value and the material loss amount by the corresponding weight factor respectively, and then sum them to obtain the storage area basic value, set several storage area positions, each storage area position corresponds to a value range, match the storage area basic value with several value ranges, if the storage area basic value belongs to the value range, obtain the storage area position corresponding to the value range, and put the material into the storage area position obtained for storage; If the material loss amount belongs to the material loss amount interval corresponding to the processing operation three, the material is marked as a return material, a label for returning to the manufacturer for reprocessing, repair and reuse is generated, and the label is sent to the manufacturer, and the return material is sent to the manufacturer at the same time; The material inventory analysis module is used to monitor and analyze the inventory status of various types of materials in each storage area, and obtain the inventory status of various types of materials in each storage area. If the inventory status of various types of materials in the storage area is in an oversufficient state or insufficient state, the early warning terminal is activated to execute the corresponding early warning; The specific steps for monitoring and analyzing the inventory status of various types of materials in each storage area are as follows: Extract the incoming and in-warehouse quantities of various types of materials in each storage area during the set monitoring period from the database, and then make a difference between the incoming and in-warehouse quantities of various types of materials in each storage area to obtain the outgoing quantities of various types of materials in each storage area during the set monitoring period; Extract the latest sales time point of various types of materials in each storage area within the set monitoring period from the database, and obtain the previous sales time point at the same time, perform difference calculation, and obtain the sales time interval of various types of materials in each storage area within the set monitoring period; Extract the storage time and outbound time of various types of materials in each storage area during the set monitoring period from the database, and then subtract the storage time and outbound time of various types of materials in each storage area to obtain the inventory time of various types of materials in each storage area; Extract the sales volume of various types of materials in each storage area during the set monitoring period from the database, analyze the sales volume of various types of materials in each storage area, and obtain the sales situation value of various types of materials in each storage area; Comprehensively analyze the outbound quantity, sales time interval, inventory duration and sales situation of various types of materials corresponding to each storage area to obtain the inventory evaluation index of various types of materials corresponding to each storage area; Compare the inventory assessment index of each storage area corresponding to each type of material with the set inventory assessment index threshold range of each storage area corresponding to each type of material. If the inventory assessment index of each storage area corresponding to each type of material is less than the set inventory assessment coefficient threshold 1, it is determined that the inventory of each type of material in each storage area is insufficient; if the inventory assessment index of each storage area corresponding to each type of material is greater than the set inventory assessment coefficient threshold 2, it is determined that the inventory of each type of material in each storage area is excessive. Based on the insufficient inventory status, set the insufficient inventory status level one, two, and three. If the insufficient inventory status is at level one, send a reminder of insufficient inventory of the material to the corresponding material manufacturer, so as to prompt the manufacturer to replenish the material in time and increase the daily material storage quantity and frequency; if the insufficient inventory status is at level two, send a notification to the material manufacturer to increase the working hours of the production line and implement employees working in shifts to solve the current insufficient material inventory problem as quickly as possible; If the inventory shortage status is at level three, the market procurement department will be notified to urgently allocate materials and use multiple supplier channels to timely obtain material replenishment. Suppliers that are closer will be given priority and have a higher purchase volume. Based on the inventory oversupply status, set the inventory oversupply status level one, two, and three. If the inventory oversupply status is at level one, notify the export department to hold promotional activities and discounts; if the inventory oversupply status is at level two, send a notification to the export department to conduct market research and find other channels for wholesale sales; if the inventory oversupply status is at level three, send a notification to the supplier to process returns and refunds; The display warning module is used to display the sanitary status of each storage area accordingly, and if the sanitary status of each storage area is unqualified, the corresponding warning is activated; It is used to display and warn the overstock and understock status levels of various types of materials in each storage area, and take measures at the corresponding level status.

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