Multi-service collaborative integrated intelligent warehouse management system and method

Abstract

The invention belongs to the technical field of warehouse management, and particularly relates to a multi-service collaborative integrated intelligent warehouse management system and method.The system comprises a warehouse-in monitoring module, a warehouse-out monitoring module, an inventory monitoring module, a multi-service collaborative management module, a warehouse management and control comprehensive judgment module and a warehouse supervision end; according to the invention, the warehouse-in monitoring module, the warehouse-out monitoring module and the inventory monitoring module are used for monitoring the in-out and storage of goods in a warehouse, so that collaborative management under different business scenes is realized, and goods storage information search and warehouse management are facilitated; and the management and control performance of the warehouse in the monitoring period is comprehensively analyzed through the warehouse management and control comprehensive judgment module, and a manager is reminded to strengthen warehouse supervision subsequently when a warehouse management and control abnormal signal is generated, so that safe storage and timely replenishment of goods in the warehouse are ensured, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and in particular to a multi-business collaborative integrated intelligent warehouse management system and method. Background Art

[0002] A warehouse is a building or place used to store, keep, or store items or goods. These items can be raw materials, semi-finished products, finished products, parts, equipment, tools, etc., depending on the purpose of the warehouse and the nature of the industry it serves. With the rapid development of e-commerce and logistics industries, warehouse management is facing more and more challenges.

[0003] At present, when conducting warehouse management, it is often difficult to grasp the detailed information of the entry, exit and storage of various types of goods, and it is impossible to reasonably analyze the environmental control status in the warehouse and the replenishment control status of various types of goods and accurately evaluate the warehouse control performance, which is not conducive to timely strengthening the subsequent supervision of the warehouse, increasing the difficulty of warehouse management and low degree of intelligence;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-business collaborative integrated intelligent warehouse management system and method, which solves the problems that the prior art is difficult to grasp in detail the entry, exit and storage information of various types of goods, cannot reasonably analyze the environmental control conditions in the warehouse and the replenishment control conditions of various types of goods and accurately evaluate the warehouse control performance, and the warehouse management is difficult and the degree of intelligence is low.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A multi-business collaborative integrated intelligent warehouse management system, including an inbound monitoring module, an outbound monitoring module, an inventory monitoring module, a multi-business collaborative management module, a warehouse control and comprehensive judgment module and a warehouse supervision terminal;

[0008] When the goods enter the warehouse, the incoming goods monitoring module monitors the incoming goods, collects the incoming goods information, and sends the incoming goods information to the multi-business collaborative management module for storage;

[0009] When the goods are shipped out of the warehouse, the outbound monitoring module monitors the outbound goods, collects the outbound information of the outbound goods, and sends the outbound information of the outbound goods to the multi-business collaborative management module for storage;

[0010] The inventory monitoring module obtains all goods stored in the warehouse, collects the storage information of all goods, and sends the storage information of all goods to the multi-business collaborative management module for storage;

[0011] Managers can retrieve the goods’ inbound, outbound and storage information from the multi-business collaborative management module through the warehouse supervision terminal;

[0012] The warehouse control comprehensive judgment module is used to set a monitoring period of K1 days. When the number of days reaches K1, the control performance of the warehouse during the monitoring period will be analyzed, and a warehouse control qualified signal or a warehouse control abnormal signal will be generated through analysis. The warehouse control qualified signal or the warehouse control abnormal signal will be sent to the warehouse supervision end. When the warehouse supervision end receives the warehouse control abnormal signal, it will issue a corresponding warning.

[0013] Furthermore, the specific analysis process of the warehouse control and comprehensive judgment module includes:

[0014] Obtain the warehouse ring evaluation value and warehouse supplement evaluation value of the monitoring period, compare the warehouse ring evaluation value and warehouse supplement evaluation value with the preset warehouse ring evaluation threshold and preset warehouse supplement evaluation threshold respectively, and generate a warehouse control abnormal signal if the warehouse ring evaluation value or the warehouse supplement evaluation value exceeds the corresponding preset threshold;

[0015] If both the warehouse ring evaluation value and the warehouse supplement evaluation value do not exceed the corresponding preset thresholds, the warehouse ring evaluation value and the warehouse supplement evaluation value are numerically calculated to obtain the warehouse control value, and the warehouse control value is numerically compared with the preset warehouse control threshold. If the warehouse control value exceeds the preset warehouse control threshold, a warehouse control abnormal signal is generated; if the warehouse control value does not exceed the preset warehouse control threshold, a warehouse control qualified signal is generated.

[0016] Furthermore, the warehouse control and comprehensive judgment module is connected to the warehouse environmental management module and the warehouse supplementary management module in communication. The warehouse environmental management module analyzes the environmental supervision performance in the warehouse, obtains the warehouse environmental evaluation value through analysis, and sends the warehouse environmental evaluation value to the warehouse control and comprehensive judgment module;

[0017] The warehouse replenishment management module analyzes the replenishment supervision performance in the warehouse, obtains the warehouse replenishment evaluation value through analysis, and sends the warehouse replenishment evaluation value to the warehouse management and control comprehensive judgment module.

[0018] Furthermore, the specific analysis process of the warehouse ring management module is as follows:

[0019] Several inspection points are set in the warehouse, and warehouse outlier points are determined through analysis. The number of warehouse outlier points in the warehouse is marked as warehouse outlier value, and the warehouse ring outlier detection values ​​of all inspection points in the warehouse are averaged to obtain the warehouse ring outlier analysis value, and the warehouse high outlier detection values ​​of all inspection points in the warehouse are averaged to obtain the warehouse high outlier analysis value;

[0020] The warehouse ring evaluation value is obtained by numerically calculating the warehouse abnormal pipe value, warehouse ring abnormal analysis value and warehouse high abnormal analysis value.

[0021] Furthermore, the specific analysis process to determine the warehouse out-of-control points is as follows:

[0022] The real-time temperature, real-time humidity and real-time dust pollution of the corresponding detection point are collected. If the real-time temperature and real-time humidity are not within the corresponding preset range or the real-time dust pollution exceeds the corresponding preset threshold, it is judged that the corresponding detection point is in a storage abnormality state;

[0023] Obtain all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period, and sum up all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period to obtain the warehouse ring abnormality detection value;

[0024] The single duration of the warehouse anomaly state is numerically compared with the corresponding preset single duration threshold, and the number of single durations exceeding the preset single duration threshold within the monitoring period is marked as the warehouse high anomaly detection value;

[0025] The warehouse ring abnormality detection value and the warehouse high abnormality detection value are numerically compared with the preset warehouse ring abnormality detection threshold and the preset warehouse high abnormality detection threshold respectively. If the warehouse ring abnormality detection value or the warehouse high abnormality detection value exceeds the corresponding preset threshold, the corresponding detection point will be marked as a warehouse abnormality point.

[0026] Furthermore, the specific analysis process of the warehouse replenishment module includes:

[0027] All types of goods stored in the warehouse are obtained, and non-optimal goods are identified through analysis. The ratio of the number of non-optimal goods to the number of types of goods stored in the warehouse is calculated to obtain the non-optimal management percentage value, and the cargo management measurement values ​​of all types of goods are averaged to obtain the cargo management condition value, and the cargo management measurement value with the largest value is marked as the cargo management amplitude value. The warehouse replenishment assessment value is obtained by numerically calculating the non-optimal management percentage value, cargo management condition value and cargo management amplitude value.

[0028] Furthermore, the specific analysis and identification methods for identifying non-quality goods are as follows:

[0029] The real-time storage volume of the corresponding type of goods is collected, and the real-time storage volume is numerically compared with the corresponding preset real-time storage volume threshold. If the real-time storage volume does not exceed the corresponding preset real-time storage volume threshold, it is determined that the corresponding type of goods is in a replenishment warning state;

[0030] When it is determined that the corresponding type of goods is in the replenishment warning state, the timer starts counting until the replenishment of the corresponding type of goods is completed; if the replenishment is not completed within the corresponding prescribed time, the replenishment process is judged to be untimely, and the excess value of the actual replenishment time compared to the corresponding prescribed time is marked as the replenishment delay time;

[0031] The number of times the replenishment process for the corresponding type of goods is not timely during the monitoring period is obtained and marked as the replenishment delay detection value, and all the replenishment delay durations corresponding to the corresponding type of goods are summed up to obtain the delay time value; the replenishment delay detection value and the delay time value are numerically calculated to obtain the goods management measurement value, and the goods management measurement value is numerically compared with the preset goods management measurement threshold. If the goods management measurement value exceeds the preset goods management measurement threshold, the corresponding type of goods will be marked as non-optimized management goods.

[0032] Furthermore, the warehouse control comprehensive judgment module is communicatively connected to the warehouse management auxiliary evaluation module. The warehouse control comprehensive judgment module sends the warehouse control qualified signal to the warehouse management auxiliary evaluation module. When the warehouse management auxiliary evaluation module receives the warehouse control qualified signal, it performs warehouse management auxiliary evaluation analysis, and generates a warehouse management auxiliary evaluation qualified signal or a warehouse management auxiliary evaluation early warning signal through analysis, and sends the warehouse management auxiliary evaluation qualified signal or the warehouse management auxiliary evaluation early warning signal to the warehouse supervision end. When the warehouse supervision end receives the warehouse management auxiliary evaluation early warning signal, it issues a corresponding early warning.

[0033] Furthermore, the specific analysis process of warehouse management assisted evaluation and analysis is as follows:

[0034] The quantity of damaged goods in the warehouse during the monitoring period is obtained and marked as the goods damage inspection value, and the total value of all damaged goods is marked as the goods loss value; the warehouse management auxiliary evaluation value is obtained by numerically calculating the goods damage inspection value, the goods loss value and the warehouse control value, and the warehouse management auxiliary evaluation value is numerically compared with the preset warehouse management auxiliary evaluation threshold. If the warehouse management auxiliary evaluation value exceeds the preset warehouse management auxiliary evaluation threshold, a warehouse management auxiliary evaluation early warning signal is generated; if the warehouse management auxiliary evaluation value does not exceed the preset warehouse management auxiliary evaluation threshold, a warehouse management auxiliary evaluation qualified signal is generated.

[0035] Furthermore, the present invention also proposes a multi-business collaborative integrated intelligent warehouse management method, comprising the following steps:

[0036] Step 1: When the goods enter the warehouse, the incoming goods information is collected and stored;

[0037] Step 2: When the goods are shipped from the warehouse, the outbound information of the goods is collected and stored;

[0038] Step 3: Monitor all goods stored in the warehouse, collect storage information of all goods, and store the storage information of all goods;

[0039] Step 4: Search for the goods' inbound, outbound and storage information in the multi-business collaborative management module through the warehouse supervision terminal;

[0040] Step 5: Analyze the warehouse control performance during the monitoring period to generate a warehouse control qualified signal or a warehouse control abnormal signal, and make the warehouse supervision end issue an early warning when the warehouse control abnormal signal is generated.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. In the present invention, the inbound and outbound and storage of goods in the warehouse are monitored through the inbound monitoring module, the outbound monitoring module and the inventory monitoring module, so as to realize the collaborative management under different business scenarios, facilitate the search of goods storage information and warehouse management, and conduct a comprehensive and integrated analysis of the control performance of the warehouse during the monitoring period through the warehouse control comprehensive judgment module. When the warehouse control abnormal signal is generated, the management personnel are reminded to strengthen the warehouse supervision in the future, which is conducive to ensuring the safe storage and timely replenishment of goods in the warehouse;

[0043] 2. In the present invention, the warehouse control qualified signal is sent to the warehouse management auxiliary evaluation module through the warehouse control comprehensive judgment module. When the warehouse management auxiliary evaluation module receives the warehouse control qualified signal, it performs warehouse management auxiliary evaluation analysis to generate a warehouse management auxiliary evaluation qualified signal or a warehouse management auxiliary evaluation early warning signal. When the warehouse management auxiliary evaluation early warning signal is generated, the subsequent supervision of the warehouse is strengthened, which is conducive to reducing cargo losses and improving management effects, and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0045] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0046] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0047] Figure 3 This is a flow chart of the method of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] Embodiment 1: Figure 1 As shown, the present invention proposes a multi-business collaborative integrated intelligent warehouse management system, including an inbound monitoring module, an outbound monitoring module, an inventory monitoring module, a multi-business collaborative management module, a warehouse control and comprehensive judgment module and a warehouse supervision terminal;

[0050] When the goods enter the warehouse, the incoming goods monitoring module monitors the incoming goods, collects the incoming goods information (including the type, quantity, incoming time and storage location of the goods), and sends the incoming goods information to the multi-business collaborative management module for storage;

[0051] When the goods are shipped out of the warehouse, the outbound monitoring module monitors the outbound goods, collects the outbound information of the outbound goods (including the type, quantity, outbound time, etc. of the goods), and sends the outbound information of the outbound goods to the multi-business collaborative management module for storage;

[0052] The inventory monitoring module obtains all goods stored in the warehouse, collects the storage information of all goods (including the type of goods, real-time storage quantity and storage location, etc.), and sends the storage information of all goods to the multi-business collaborative management module for storage;

[0053] Managers can retrieve the goods' incoming, outgoing and storage information from the multi-business collaborative management module through the warehouse supervision terminal, making it easier to search for goods storage information and facilitate warehouse management.

[0054] The warehouse control comprehensive judgment module is used to set a monitoring period of K1 days. Preferably, K1 is thirty-five days. When the number of days reaches K1, the control performance of the warehouse within the monitoring period is analyzed, and a warehouse control qualified signal or a warehouse control abnormal signal is generated through the analysis, and the warehouse control qualified signal or the warehouse control abnormal signal is sent to the warehouse supervision end.

[0055] When the warehouse monitoring end receives abnormal warehouse control signals, it issues a corresponding warning, which can reasonably analyze and accurately evaluate the control performance of the warehouse during the monitoring period, and promptly remind managers to strengthen warehouse supervision in the future, so as to ensure the safe storage and timely replenishment of goods in the warehouse; the specific analysis process of the warehouse control comprehensive judgment module is as follows:

[0056] The warehouse ring evaluation value CP and the warehouse supplement evaluation value CF of the monitoring period are obtained, and the warehouse ring evaluation value CP and the warehouse supplement evaluation value CF are numerically compared with the preset warehouse ring evaluation threshold and the preset warehouse supplement evaluation threshold respectively. If the warehouse ring evaluation value CP or the warehouse supplement evaluation value CF exceeds the corresponding preset threshold, it indicates that the control status of the warehouse during the monitoring period is not good, and a warehouse control abnormality signal is generated;

[0057] If the warehouse ring evaluation value CP and the warehouse supplement evaluation value CF do not exceed the corresponding preset thresholds, the warehouse ring evaluation value CP and the warehouse supplement evaluation value CF are numerically calculated by the formula CK=ng1*CP+ng2*CF to obtain the warehouse control value CK; wherein ng1 and ng2 are preset weight coefficients with values ​​greater than zero, and the larger the value of the warehouse control value CK, the worse the overall control performance of the warehouse during the monitoring period;

[0058] The warehouse control value is numerically compared with the preset warehouse control threshold. If the warehouse control value exceeds the preset warehouse control threshold, it indicates that the control status of the warehouse during the monitoring period is not good, and a warehouse control abnormal signal is generated; if the warehouse control value does not exceed the preset warehouse control threshold, it indicates that the control status of the warehouse during the monitoring period is good, and a warehouse control qualified signal is generated.

[0059] It should be noted that the warehouse control and judgment module is connected to the warehouse environmental management module and the warehouse supplementary management module through communication. The warehouse environmental management module analyzes the environmental supervision performance in the warehouse, obtains the warehouse environmental evaluation value CP through analysis, and sends the warehouse environmental evaluation value CP to the warehouse control and judgment module. It can not only reasonably analyze and accurately feedback the environmental control performance of the warehouse during the monitoring period, but also provide data support for the analysis process of the warehouse control and judgment module to ensure the accuracy of its analysis results; the specific analysis process of the warehouse environmental management module is as follows:

[0060] Several detection points are set in the warehouse, and the real-time temperature, real-time humidity and real-time dust pollution (i.e. the data value of dust concentration) of the corresponding detection points are collected. The real-time temperature, real-time humidity and real-time dust pollution are numerically compared with the preset real-time temperature range, the preset real-time humidity range and the preset real-time dust pollution threshold. If the real-time temperature and real-time humidity are not within the corresponding preset range or the real-time dust pollution exceeds the corresponding preset threshold, it is judged that the corresponding detection point is in a storage abnormality state;

[0061] Obtain all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period, and sum up all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period to obtain the warehouse ring abnormality detection value;

[0062] The single duration of the warehouse anomaly state is numerically compared with the corresponding preset single duration threshold, and the number of single durations exceeding the preset single duration threshold within the monitoring period is marked as the warehouse high anomaly detection value;

[0063] And compare the warehouse ring abnormality detection value and the warehouse high abnormality detection value with the preset warehouse ring abnormality detection threshold and the preset warehouse high abnormality detection threshold respectively. If the warehouse ring abnormality detection value or the warehouse high abnormality detection value exceeds the corresponding preset threshold, indicating that the environmental control status of the corresponding detection point during the monitoring period is poor, the corresponding detection point is marked as a warehouse abnormal control point;

[0064] The number of warehouse abnormal pipe points in the warehouse is marked as the warehouse abnormal pipe value, and the warehouse ring abnormality detection values ​​of all detection points in the warehouse are averaged to obtain the warehouse ring abnormality analysis value, and the warehouse high abnormality detection values ​​of all detection points in the warehouse are averaged to obtain the warehouse high abnormality analysis value;

[0065] The warehouse abnormal management value HY, warehouse ring abnormal analysis value HF and warehouse high abnormal analysis value HL are numerically calculated through the formula CP=ru1*HY+(ru2*HF+ru3*HL) / ru1 to obtain the warehouse ring evaluation value CP; among them, ru1, ru2, ru3 are preset proportional coefficients, ru1>ru3>ru2>0; and the larger the value of the warehouse ring evaluation value CP, the worse the overall environmental control performance in the warehouse during the monitoring period.

[0066] Furthermore, the warehouse replenishment management module analyzes the replenishment supervision performance in the warehouse, obtains the warehouse replenishment evaluation value CF through analysis, and sends the warehouse replenishment evaluation value CF to the warehouse control and judgment module, which can not only reasonably analyze and accurately feedback the replenishment control performance of the goods in the warehouse during the monitoring period, but also provide data support for the analysis process of the warehouse control and judgment module, further ensuring the accuracy of its analysis results; the specific analysis process of the warehouse replenishment management module is as follows:

[0067] All types of goods stored in the warehouse are obtained, the real-time storage volume of the corresponding types of goods is collected, and the real-time storage volume is numerically compared with the corresponding preset real-time storage volume threshold. If the real-time storage volume does not exceed the corresponding preset real-time storage volume threshold, it is determined that the corresponding type of goods is in a replenishment warning state;

[0068] When it is determined that the corresponding type of goods is in the replenishment warning state, the timer starts counting until the replenishment of the corresponding type of goods is completed; if the replenishment is not completed within the corresponding prescribed time, the replenishment process is judged to be untimely, and the excess value of the actual replenishment time compared to the corresponding prescribed time is marked as the replenishment delay time;

[0069] The number of occurrences of untimely replenishment process corresponding to the corresponding type of goods in the monitoring period is obtained and marked as the replenishment delay detection value, and all replenishment delay durations corresponding to the corresponding type of goods are summed up to obtain the delay time value;

[0070] By formula The replenishment and delay detection value LW and the delay time value LP are numerically calculated to obtain the cargo control value LX; wherein, tg1 and tg2 are preset proportional coefficients with values ​​greater than zero, tg1>tg2; and, the larger the value of the cargo control value LX, the worse the cargo replenishment control performance for the corresponding type of cargo during the monitoring period;

[0071] Compare the cargo control value LX with the preset cargo control threshold. If the cargo control value LX exceeds the preset cargo control threshold, it indicates that the cargo replenishment management performance for the corresponding type of cargo during the monitoring period is poor, and the corresponding type of cargo is marked as non-optimal cargo;

[0072] The ratio of the number of non-optimal managed goods to the number of types of goods stored in the warehouse is calculated to obtain the non-optimal managed proportion value, and the average of the cargo management measurement values ​​of all types of goods is calculated to obtain the cargo management value, and the cargo management measurement value with the largest value is marked as the cargo management amplitude;

[0073] The warehouse replenishment assessment value CF is obtained by numerically calculating the non-optimal management value FX, the cargo management condition value FN and the cargo management amplitude value FY through the formula CF=sp1*FX+(sp2*FN+sp3*FY) / 2; wherein, sp1, sp2, sp3 are preset proportional coefficients whose values ​​are greater than zero, sp1>sp2>sp3; and, the larger the value of the warehouse replenishment assessment value CF, the worse the overall performance of cargo replenishment control in the warehouse during the monitoring period.

[0074] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the warehouse control comprehensive judgment module is connected to the warehouse management auxiliary evaluation module in communication, and the warehouse control comprehensive judgment module sends the warehouse control qualified signal to the warehouse management auxiliary evaluation module. When the warehouse management auxiliary evaluation module receives the warehouse control qualified signal, it performs warehouse management auxiliary evaluation analysis, and generates a warehouse management auxiliary evaluation qualified signal or a warehouse management auxiliary evaluation early warning signal through analysis;

[0075] The warehouse management assisted evaluation qualified signal or warehouse management assisted evaluation warning signal is sent to the warehouse supervision end. When the warehouse supervision end receives the warehouse management assisted evaluation warning signal, it issues a corresponding warning. When the management personnel receive the corresponding warning, they will strengthen the warehouse supervision in the future, thereby reducing the loss of goods and improving the management effect. The specific analysis process of warehouse management assisted evaluation analysis is as follows:

[0076] The number of damaged goods in the warehouse during the monitoring period is obtained and marked as the goods damage inspection value, and the total value of all damaged goods is marked as the goods loss amount value. It should be noted that the larger the values ​​of the goods damage inspection value and the goods loss amount value, the worse the storage management status of the goods in the warehouse during the monitoring period; and the warehouse control value of the corresponding monitoring period is retrieved;

[0077] By formula The cargo loss inspection value QF, cargo loss amount value QN and warehouse control value CK are numerically calculated to obtain the warehouse management auxiliary evaluation value QW; wherein ry1, ry2 and ry3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the warehouse management auxiliary evaluation value QW is, the worse the management performance of the warehouse during the monitoring period is;

[0078] The warehouse management auxiliary evaluation value QW is numerically compared with the preset warehouse management auxiliary evaluation threshold. If the warehouse management auxiliary evaluation value QW exceeds the preset warehouse management auxiliary evaluation threshold, it indicates that the management performance of the warehouse during the monitoring period is poor, and a warehouse management auxiliary evaluation warning signal is generated; if the warehouse management auxiliary evaluation value QW does not exceed the preset warehouse management auxiliary evaluation threshold, it indicates that the management performance of the warehouse during the monitoring period is good, and a warehouse management auxiliary evaluation qualified signal is generated.

[0079] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the multi-business collaborative integrated intelligent warehouse management method proposed in the present invention includes the following steps:

[0080] Step 1: When the goods enter the warehouse, the incoming goods information is collected and stored;

[0081] Step 2: When the goods are shipped from the warehouse, the outbound information of the goods is collected and stored;

[0082] Step 3: Monitor all goods stored in the warehouse, collect storage information of all goods, and store the storage information of all goods;

[0083] Step 4: Search for the goods' inbound, outbound and storage information in the multi-business collaborative management module through the warehouse supervision terminal;

[0084] Step 5: Analyze the warehouse control performance during the monitoring period to generate a warehouse control qualified signal or a warehouse control abnormal signal, and make the warehouse supervision end issue an early warning when the warehouse control abnormal signal is generated.

[0085] The working principle of the present invention: when in use, the entry, exit and storage of goods in the warehouse are monitored through the warehousing monitoring module, the outbound monitoring module and the inventory monitoring module, and the corresponding monitoring information is stored to realize collaborative management under different business scenarios, facilitate the search for goods storage information and warehouse management, and analyze the control performance of the warehouse during the monitoring period through the warehouse management and control comprehensive judgment module, and enable the warehouse supervision end to issue a corresponding early warning when an abnormal warehouse management signal is generated, which can reasonably analyze and accurately evaluate the control performance of the warehouse during the monitoring period, and promptly remind management personnel to strengthen warehouse supervision in the future, thereby ensuring the safe storage and timely replenishment of goods in the warehouse, and having a high degree of intelligence.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A multi-business collaborative integrated intelligent warehouse management system, characterized in that: It includes inbound monitoring module, outbound monitoring module, inventory monitoring module, multi-business collaborative management module, warehouse control and comprehensive judgment module and warehouse supervision terminal; When the goods enter the warehouse, the incoming goods monitoring module monitors the incoming goods, collects the incoming goods information, and sends the incoming goods information to the multi-business collaborative management module for storage; When the goods are shipped out of the warehouse, the outbound monitoring module monitors the outbound goods, collects the outbound information of the outbound goods, and sends the outbound information of the outbound goods to the multi-business collaborative management module for storage; The inventory monitoring module obtains all goods stored in the warehouse, collects the storage information of all goods, and sends the storage information of all goods to the multi-business collaborative management module for storage; Managers can retrieve the goods’ inbound, outbound and storage information from the multi-business collaborative management module through the warehouse supervision terminal; The warehouse control comprehensive judgment module is used to set a monitoring period of K1 days. When the number of days reaches K1, the control performance of the warehouse during the monitoring period will be analyzed, and a warehouse control qualified signal or a warehouse control abnormal signal will be generated through analysis. The warehouse control qualified signal or the warehouse control abnormal signal will be sent to the warehouse supervision end. When the warehouse supervision end receives the warehouse control abnormal signal, it will issue a corresponding warning.

2. The multi-business collaborative integrated intelligent warehouse management system according to claim 1 is characterized in that: The specific analysis process of the warehouse control and comprehensive judgment module includes: Obtain the warehouse ring evaluation value and warehouse supplement evaluation value of the monitoring period, compare the warehouse ring evaluation value and warehouse supplement evaluation value with the preset warehouse ring evaluation threshold and preset warehouse supplement evaluation threshold respectively, and generate a warehouse control abnormal signal if the warehouse ring evaluation value or the warehouse supplement evaluation value exceeds the corresponding preset threshold; If both the warehouse ring evaluation value and the warehouse supplement evaluation value do not exceed the corresponding preset thresholds, the warehouse ring evaluation value and the warehouse supplement evaluation value are numerically calculated to obtain the warehouse control value, and the warehouse control value is numerically compared with the preset warehouse control threshold. If the warehouse control value exceeds the preset warehouse control threshold, a warehouse control abnormal signal is generated; if the warehouse control value does not exceed the preset warehouse control threshold, a warehouse control qualified signal is generated.

3. The multi-business collaborative integrated intelligent warehouse management system according to claim 2 is characterized in that: The warehouse control and judgment module is connected to the warehouse environmental management module and the warehouse supplementary management module in communication. The warehouse environmental management module analyzes the environmental supervision performance in the warehouse, obtains the warehouse environmental evaluation value through analysis, and sends the warehouse environmental evaluation value to the warehouse control and judgment module; The warehouse replenishment management module analyzes the replenishment supervision performance in the warehouse, obtains the warehouse replenishment evaluation value through analysis, and sends the warehouse replenishment evaluation value to the warehouse management and control comprehensive judgment module.

4. The multi-business collaborative integrated intelligent warehouse management system according to claim 3 is characterized in that: The specific analysis process of the warehouse ring management module is as follows: Several inspection points are set in the warehouse, and warehouse outlier points are determined through analysis. The number of warehouse outlier points in the warehouse is marked as warehouse outlier value, and the warehouse ring outlier detection values ​​of all inspection points in the warehouse are averaged to obtain the warehouse ring outlier analysis value, and the warehouse high outlier detection values ​​of all inspection points in the warehouse are averaged to obtain the warehouse high outlier analysis value; The warehouse ring evaluation value is obtained by numerically calculating the warehouse abnormal pipe value, warehouse ring abnormal analysis value and warehouse high abnormal analysis value.

5. The multi-business collaborative integrated intelligent warehouse management system according to claim 4 is characterized in that: The specific analysis process to determine the warehouse out-of-control points through analysis is as follows: The real-time temperature, real-time humidity and real-time dust pollution of the corresponding detection point are collected. If the real-time temperature and real-time humidity are not within the corresponding preset range or the real-time dust pollution exceeds the corresponding preset threshold, it is judged that the corresponding detection point is in a storage abnormality state; Obtain all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period, and sum up all single durations of the corresponding detection point being in the storage ring abnormality state during the monitoring period to obtain the warehouse ring abnormality detection value; The single duration of the warehouse anomaly state is numerically compared with the corresponding preset single duration threshold, and the number of single durations exceeding the preset single duration threshold within the monitoring period is marked as the warehouse high anomaly detection value; The warehouse ring abnormality detection value and the warehouse high abnormality detection value are numerically compared with the preset warehouse ring abnormality detection threshold and the preset warehouse high abnormality detection threshold respectively. If the warehouse ring abnormality detection value or the warehouse high abnormality detection value exceeds the corresponding preset threshold, the corresponding detection point will be marked as a warehouse abnormality point.

6. The multi-business collaborative integrated intelligent warehouse management system according to claim 3 is characterized in that: The specific analysis process of the warehouse replenishment module includes: All types of goods stored in the warehouse are obtained, and non-optimal goods are identified through analysis. The ratio of the number of non-optimal goods to the number of types of goods stored in the warehouse is calculated to obtain the non-optimal management percentage value, and the cargo management measurement values ​​of all types of goods are averaged to obtain the cargo management condition value, and the cargo management measurement value with the largest value is marked as the cargo management amplitude value. The warehouse replenishment assessment value is obtained by numerically calculating the non-optimal management percentage value, cargo management condition value and cargo management amplitude value.

7. The multi-business collaborative integrated intelligent warehouse management system according to claim 6 is characterized in that: The specific analysis and identification methods for identifying non-superior goods through analysis are as follows: The real-time storage volume of the corresponding type of goods is collected, and the real-time storage volume is numerically compared with the corresponding preset real-time storage volume threshold. If the real-time storage volume does not exceed the corresponding preset real-time storage volume threshold, it is determined that the corresponding type of goods is in a replenishment warning state; When it is determined that the corresponding type of goods is in the replenishment warning state, the timer starts counting until the replenishment of the corresponding type of goods is completed; if the replenishment is not completed within the corresponding prescribed time, the replenishment process is judged to be untimely, and the excess value of the actual replenishment time compared to the corresponding prescribed time is marked as the replenishment delay time; The number of times the replenishment process for the corresponding type of goods is not timely during the monitoring period is obtained and marked as the replenishment delay detection value, and all the replenishment delay durations corresponding to the corresponding type of goods are summed up to obtain the delay time value; the replenishment delay detection value and the delay time value are numerically calculated to obtain the goods management measurement value, and the goods management measurement value is numerically compared with the preset goods management measurement threshold. If the goods management measurement value exceeds the preset goods management measurement threshold, the corresponding type of goods will be marked as non-optimized management goods.

8. The multi-business collaborative integrated intelligent warehouse management system according to claim 1 is characterized in that: The warehouse control comprehensive judgment module is communicatively connected to the warehouse management auxiliary evaluation module. The warehouse control comprehensive judgment module sends the warehouse control qualified signal to the warehouse management auxiliary evaluation module. When the warehouse management auxiliary evaluation module receives the warehouse control qualified signal, it performs warehouse management auxiliary evaluation analysis, and generates a warehouse management auxiliary evaluation qualified signal or a warehouse management auxiliary evaluation early warning signal through analysis, and sends the warehouse management auxiliary evaluation qualified signal or the warehouse management auxiliary evaluation early warning signal to the warehouse supervision end. When the warehouse supervision end receives the warehouse management auxiliary evaluation early warning signal, it issues a corresponding early warning.

9. The multi-business collaborative integrated intelligent warehouse management system according to claim 8 is characterized in that: The specific analysis process of warehouse management assisted evaluation and analysis is as follows: The quantity of damaged goods in the warehouse during the monitoring period is obtained and marked as the goods damage inspection value, and the total value of all damaged goods is marked as the goods loss value; the warehouse management auxiliary evaluation value is obtained by numerically calculating the goods damage inspection value, the goods loss value and the warehouse control value, and the warehouse management auxiliary evaluation value is numerically compared with the preset warehouse management auxiliary evaluation threshold. If the warehouse management auxiliary evaluation value exceeds the preset warehouse management auxiliary evaluation threshold, a warehouse management auxiliary evaluation warning signal is generated; If the warehouse manager's auxiliary evaluation value does not exceed the preset warehouse manager's auxiliary evaluation threshold, a warehouse manager's auxiliary evaluation qualified signal is generated.

10. A multi-business collaborative integrated intelligent warehouse management method, characterized in that: The method adopts the multi-business collaborative integrated intelligent warehouse management system as described in any one of claims 1-9.

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