Cold-chain logistics storage intelligent management system and method based on big data

Abstract

The invention discloses a cold-chain logistics storage intelligent management system and method based on big data, and belongs to the technical field of cold-chain logistics storage management. Different types of cargos are differentiated and digitally represented, various data when the cargos are sent into the storage box body to be stored are simultaneously established, and the overall state of the different types of cargos stored into the storage box body is adaptively evaluated, so that prompts can be timely given according to the evaluation result, and the safety of the cargos is improved. The management personnel can process the goods of different storage types in time; the method and the device are used for solving the technical problems that in an existing scheme, the storage condition and the carrying condition of different types of goods in a warehouse cannot be monitored and analyzed, and the influence of frost layer formation in a warehouse box body caused by opening and closing of a warehouse box door cannot be monitored and evaluated, so that the overall effect of cold-chain logistics warehouse monitoring management is poor.

Description

Technical Field

[0001] The present invention relates to the technical field of cold chain logistics warehousing management, and in particular to a cold chain logistics warehousing intelligent management system and method based on big data. Background Art

[0002] In recent years, with the rapid development of my country's cold chain logistics industry, the demand for cold chain intelligent warehousing has increased year by year. Relevant companies have built automated three-dimensional warehouses and entered the field of cold chain intelligence. However, the low temperature environment and time-sensitive characteristics of cold chain warehousing are destined to make it difficult to implement intelligent operation modes, which are higher and more complex than general normal temperature logistics systems.

[0003] When implementing existing cold chain logistics warehousing management solutions, various operating indicators inside the warehouse are generally monitored and analyzed through various sensors, such as temperature, humidity or air pressure to evaluate the operating status inside the warehouse. However, the storage conditions of different types of goods in the warehouse cannot be monitored and managed differently, and the remaining goods in the storage box after some goods are moved out cannot be adaptively monitored and evaluated dynamically. Finally, the impact of frost formation in the storage box cannot be evaluated by monitoring the opening and closing of the storage box door. Defrosting is only performed through manual observation and judgment, resulting in poor overall effect of cold chain logistics warehousing monitoring and management. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent cold chain logistics warehousing management system and method based on big data, which is used to solve the technical problems that the existing solutions cannot monitor and analyze the storage and removal conditions of different types of goods in the warehouse, and cannot monitor and evaluate the impact of frost formation in the storage box caused by the opening and closing of the storage box door, resulting in poor overall effect of cold chain logistics warehousing monitoring and management.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The cold chain logistics warehousing intelligent management system based on big data includes a storage box module, a storage box door module, a monitoring and evaluation module, an alarm prompt module, a server and a database; The storage box module is used to monitor and count the storage and removal status of goods in the cold chain logistics warehouse, obtain a storage set containing storage information and removal information, and upload it to the server; The storage box door module is used to monitor and count the operation of the storage box door during the storage and removal of goods, obtain the switch set of the storage box door and upload it to the server; The monitoring and evaluation module is used to analyze and evaluate the storage effect of the storage box and the opening and closing influence of the storage box door according to the storage set and the opening and closing set, obtain the box evaluation set and the box door evaluation set containing the first inventory data and send them to the database and the server respectively, including: Obtain storage information and removal information from the storage center, and mark the cargo weight coefficient, cargo storage volume, cargo storage quality, and total storage time in the storage information; When the goods stored in the storage box have not been moved out, the data of the value mark are combined to obtain the storage box's inventory coefficient; Obtain the corresponding inventory threshold according to the name of the goods, match and analyze the inventory coefficient with the inventory threshold, and obtain the first inventory data including the first inventory signal, the second inventory signal and the third inventory signal; The alarm prompt module is used to issue alarm prompts for the storage conditions and frost conditions of the storage boxes in the warehouse according to the box evaluation set and the box door evaluation set.

[0006] Furthermore, the storage and removal of goods in cold chain logistics warehousing are monitored and counted separately, including: Before the goods are stored in the storage box, the name of the goods is obtained and matched with the list of goods names pre-stored in the database to obtain the corresponding goods weight coefficient; The storage volume and storage quality of the goods after the goods are stored in the storage box, as well as the total storage time and the total number of storage times are obtained respectively; the goods weight coefficient, the storage volume, the storage quality, the total number of storage times and the total storage time constitute the storage information; When the goods inside the storage box are moved out, the total time and number of times the goods are moved out of the storage box are counted; the volume and quality of the goods after they are moved out of the storage box are monitored and counted; the total time, volume, quality and total number of times the goods are moved out constitute the moving information.

[0007] Further, the total moving time, cargo moving volume, cargo moving mass and total moving times in the moving information are marked respectively; the marked data in the moving information are combined to obtain the second cargo inventory data; the first cargo inventory data and the second cargo inventory data constitute a box evaluation set; Evaluate the switch set to obtain the door evaluation set.

[0008] Furthermore, the various data marked in the removal information are combined to obtain the second inventory data, including: When the goods stored in the storage box have not been completely moved out, the inventory coefficient is combined with the data marked in the moving information to obtain the inventory consumption coefficient of the remaining stored goods in the storage box; The corresponding inventory consumption threshold is obtained according to the name of the goods, and the inventory consumption coefficient is matched and analyzed with the inventory consumption threshold to obtain the second goods inventory data including the first inventory consumption signal and the second inventory consumption signal.

[0009] Furthermore, the switch set is evaluated, including: Obtain the first temperature, the first relative humidity, the second temperature, the second relative humidity, the switching time difference and the total number of switches in the switch set; obtain the difference between the second temperature and the first temperature and set it as the first difference; obtain the difference between the second relative humidity and the first relative humidity and set it as the second difference; respectively extract the values ​​of the switching time difference and the total number of switches and mark them; Obtain the gate evaluation set based on the labeled data.

[0010] Furthermore, the four marked data items are combined to obtain a status evaluation value of the storage box door switch; the impact of the storage box door switch on the formation of frost inside the storage box is analyzed based on the status evaluation value, and the status evaluation value is matched with a preset status evaluation range to obtain a door evaluation set including a first status evaluation signal, a second status evaluation signal and a third status evaluation signal.

[0011] Furthermore, according to the box evaluation set and the box door evaluation set, an alarm is given to the storage condition and frost condition of the storage box in the warehouse respectively, including: If the box evaluation set contains the third inventory signal and the second inventory consumption signal, an early warning reminder that the storage of goods needs to be handled in a timely manner is generated; If the door evaluation set includes the second condition evaluation signal and the third condition evaluation signal, a prompt is generated respectively indicating that the frost layer in the storage box needs to be cleaned and that it needs to be cleaned immediately.

[0012] In order to solve the problem, the present invention also proposes a cold chain logistics warehousing intelligent management method based on big data, including: Monitor and count the storage and removal status of goods in cold chain logistics warehouses, and obtain a warehouse set containing storage information and removal information; Monitor and count the operation of the storage box doors during the storage and removal of goods, and obtain the opening and closing set of the storage box doors; According to the storage set and the switch set, the storage effect of the storage box and the opening and closing influence of the storage box door are analyzed and evaluated to obtain the box evaluation set and the box door evaluation set; Based on the box evaluation set and the box door evaluation set, alarms are issued for the storage conditions and frost conditions of the storage boxes in the warehouse respectively.

[0013] Compared with the existing solutions, the present invention achieves the following beneficial effects: One aspect of the present invention is to differentiate and digitally represent different types of goods, and combine various data when the goods are sent to the storage box for storage. The overall status of different types of goods stored in the storage box is adaptively evaluated so that prompts can be given in time according to the evaluation results, so that management personnel can handle the goods of different storage types in time, avoiding backlogs caused by untimely processing of goods of different storage types, thereby affecting the overall storage cost.

[0014] Another aspect of the present invention is to conduct an overall evaluation on the storage and consumption status of the remaining goods inside the storage box; taking into account the transportation cost, storage operation cost and the value of the remaining goods, the storage value of the remaining goods is monitored and evaluated by combining the total time for partial removal of the stored goods in the storage box, the total number of removals, and the total volume and total mass of the remaining goods; through differentiated monitoring and evaluation, the inventory can be cleared in time to reduce the cost of storage, thereby improving the overall operation effect of the warehouse.

[0015] Other aspects disclosed by the present invention are to obtain a status evaluation value by jointly calculating the temperature difference between the inside and outside of the warehouse during the opening and closing process, the relative humidity difference, the duration of the opening and closing, and the total number of opening and closing times. The status evaluation value can be used to comprehensively evaluate the impact of the opening and closing of the storage box door on the formation of frost inside the storage box, thereby realizing adaptive dynamic monitoring and prompting, thereby improving the monitoring effect of the internal operation of the storage box. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 This is a module block diagram of the cold chain logistics warehousing intelligent management system based on big data of the present invention.

[0018] Figure 2 It is a flow chart of the cold chain logistics warehousing intelligent management method based on big data of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] Embodiment 1 like Figure 1As shown, the present invention is a cold chain logistics warehousing intelligent management system based on big data, including a storage box module, a storage box door module, a monitoring and evaluation module, an alarm prompt module, a server and a database; The storage box module is used to monitor and count the storage and removal status of goods in cold chain logistics storage, obtain a storage set containing storage information and removal information and upload it to the server; including: Before the goods are stored in the storage box, the name of the goods is obtained and matched with the list of goods names pre-stored in the database to obtain the corresponding goods weight coefficient; The cargo name list includes a number of different cargo names and their corresponding cargo weight coefficients, and a cargo weight coefficient is preset for each cargo name; The purpose of setting the cargo weight coefficient is to realize the digital and differentiated representation of different types of cargo, so that different types of cargo can be monitored, analyzed and evaluated in a differentiated manner; cargo can be farm products, fruits, fresh milk, etc. that need to be refrigerated, and different types of cargo have different corresponding refrigeration conditions; Obtain the cargo storage volume and cargo storage mass after the cargo is stored in the storage box, and add one to the storage times of the storage box to obtain the total storage times; Get the total storage time of the goods stored in the storage box, in hours; The cargo weight coefficient, cargo storage volume, cargo storage quality, total storage times and total storage duration constitute storage information; When the goods inside the storage box are moved out, the total moving time and total number of times the goods are moved out of the storage box are counted in hours; the volume and weight of the goods moved out of the storage box are monitored and counted, and the number of times the goods are moved out of the storage box is added by one to get the total number of times they are moved out; the total number of times they are moved out and the total number of times they are stored can provide data support for the statistics of opening the storage box door; It should be noted here that the removal of goods from the storage box includes partial removal and overall removal, and the scenario considered in the embodiment of the present invention is multiple partial removals; The total time of removal, the volume of goods removed, the quality of goods removed and the total number of removals constitute the removal information; Storage information and removal information constitute a storage set.

[0021] In the embodiment of the present invention, by monitoring and counting various data on the storage and removal of goods from the storage box, the storage status of the goods inside the subsequent storage box can be evaluated and timely prompted, so that the staff can handle the goods in different storage statuses in time, effectively improving the overall monitoring effect of the goods stored inside the storage box.

[0022] The storage box door module is used to monitor and count the operation of the storage box door during the storage and removal of goods, obtain the switch set of the storage box door and upload it to the server; including: When the goods are stored or moved away, the time point at which the storage box door is opened is set as the first time point, and the temperature and relative humidity inside the storage box are set to the first temperature and the first relative humidity respectively, and the temperature and relative humidity outside the storage box are set to the second temperature and the second relative humidity respectively; When the storage or removal of the goods is completed, the time point at which the storage box door is opened is set as the second time point, the time difference between the second time point and the first time point is obtained and set as the opening and closing time difference, in hours, and the total number of times the storage box door is opened and closed is added by one to obtain the total number of times the storage box door is opened and closed; The first temperature, the first relative humidity, the second temperature, the second relative humidity, the switching time difference and the total number of switches constitute a switching set.

[0023] It should be noted that when the warehouse door is opened, not only will the hot air outside the warehouse enter the warehouse and cause the temperature to rise, but the large amount of heat and moisture exchange will also cause frost on the air cooler and evaporator tubes, making the frost layer generated during the operation of the air cooler and evaporator gradually thicker, which will reduce the heat transfer coefficient and reduce the air volume. At the same time, it will increase the fan output and cause the cooling capacity of the air cooler to drop sharply; the air cooler and evaporator must be defrosted after running for a period of time.

[0024] In the embodiment of the present invention, by monitoring and collecting statistics on various aspects of data each time the storage box door is opened, the formation of frost inside the storage box body can be monitored and evaluated from the perspective of the storage box door opening, and different levels of prompts can be adaptively generated according to the evaluation results so that the staff can perform defrosting in a timely and efficient manner. Compared with the existing solutions that require manual observation and evaluation and defrosting based on experience, or solutions that use a single sensor for monitoring and analysis, the embodiment of the present invention can achieve a more efficient monitoring and prompting effect.

[0025] The monitoring and evaluation module is used to analyze and evaluate the storage effect of the storage box and the opening and closing influence of the storage box door according to the storage set and the opening and closing set, obtain the box evaluation set and the box door evaluation set and send them to the database and the server respectively; including: Obtain storage information and removal information from the storage set, and mark the cargo weight coefficient, cargo storage volume, cargo storage quality, and total storage time in the storage information as HQX, CT, CZ, and CS respectively; When the goods stored in the storage box have not been moved out, the formula is used to calculate the storage box's cargo inventory coefficient HCX; the expression of the formula is:

[0026] In the formula, a1, a2, and a3 are different proportional coefficients and their value ranges are all (0, 4). The proportional coefficients in the formula are set by technicians in this field according to actual conditions. For example, a1 can be 2.326, a2 can be 1.614, and a3 can be 3.495. CT0 is the standard volume of goods stored in the storage box, and CZ0 is the standard mass of goods stored in the storage box. The marked volume and standard mass can be obtained based on the existing big data of storage box operation. It needs to be explained that the cargo inventory coefficient is a numerical value used to make an overall assessment of the storage status of goods inside a storage box. The larger the storage volume and the storage quality of goods, and the longer the total storage time, the smaller the calculated cargo inventory coefficient will be, indicating that the storage status of the corresponding goods inside the storage box is worse. This is because the standard volume and standard quality of goods stored in storage boxes limit the volume and quality of stored goods, as well as the storage time of different types of goods. The cargo inventory coefficient combines various data from different aspects for an overall assessment.

[0027] Obtain the corresponding inventory threshold HCY according to the name of the goods, and match and analyze the inventory coefficient HCX with the inventory threshold HCY; If HCX>HCY, it is determined that the storage state of the goods inside the storage box is excellent and a first goods inventory signal is generated. The excellent storage state here means that the corresponding goods have good quality and low storage cost; If HCY*u≤HCX≤HCY, u belongs to (0, 1) and can be 0.5, then it is determined that the storage status of the goods inside the storage box is normal and a second goods inventory signal is generated. The normal storage status here means that the quality and storage cost of the corresponding goods are normal; If HCX<HCY*u, it is determined that the storage state of the goods inside the storage box is not good and a third goods inventory signal is generated. The poor storage state here means that the quality of the corresponding goods is affected and the storage cost is high; The inventory coefficient and the first inventory signal, the second inventory signal and the third inventory signal constitute the first inventory data; In an embodiment of the present invention, an adaptive evaluation is performed on the overall status of different types of goods stored in a storage box so that prompts can be given in a timely manner based on the evaluation results, allowing management personnel to handle goods of different storage types in a timely manner, thereby avoiding backlogs caused by untimely handling of goods of different storage types, which in turn affects the overall storage cost.

[0028] The total moving time, cargo moving volume, cargo moving mass and total moving times in the moving information are marked as BS, BT, BZ and BC respectively; Combine the data marked in the removal information to obtain the second inventory data; including: When the goods stored in the storage box are not completely moved out, the inventory coefficient is combined with the data marked in the removal information, and the inventory consumption coefficient CHX of the remaining stored goods in the storage box is obtained through calculation by formula; the expression of the formula is:

[0029] Wherein, b1, b2, b3, and b4 are different proportional coefficients all greater than zero, and 0<b3<b4<1<b2<b1, b1 can be 3.624, b2 can be 2.783, b3 can be 0.355, and b4 can be 0.716; It should be noted that the inventory consumption coefficient is a numerical value used to make an overall assessment of the storage consumption status of the remaining goods inside the storage box; taking into account the transportation cost, storage operation cost and the value of the remaining goods, the total time for partial removal of the stored goods in the storage box, the total number of removals, and the total volume and total mass of the remaining goods are combined to monitor and evaluate the storage value of the remaining goods; through differentiated monitoring and evaluation, the inventory can be cleared in time to reduce the cost of storage, thereby improving the overall operation effect of the warehouse.

[0030] Obtain the corresponding storage and consumption threshold CHY according to the name of the goods, and match and analyze the storage and consumption coefficient CHX with the storage and consumption threshold CHY; If CHX>CHY, it is determined that the storage consumption state of the remaining goods in the storage box is normal and a first storage consumption signal is generated. The normal storage consumption state here means that the storage cost generated by the corresponding goods is within a normal range; If CHX≤CHY, it is determined that the storage consumption state of the remaining goods in the storage box is abnormal and a second storage consumption signal is generated. The normal storage consumption state here means that the storage cost of the corresponding goods exceeds the normal range and needs to be processed immediately to avoid greater losses; The inventory consumption coefficient, the first inventory consumption signal and the second inventory consumption signal constitute the second inventory data.

[0031] The first inventory data and the second inventory data constitute a box evaluation set; Evaluate the switch set to obtain the door evaluation set, including: Obtaining a first temperature, a first relative humidity, a second temperature, a second relative humidity, a switching time difference, and a total number of switching times in a switching set; Obtaining a difference between the second temperature and the first temperature and setting it as a first difference, obtaining a value of the first difference and marking it as YC; Obtaining a difference between the second relative humidity and the first relative humidity and setting it as a second difference, obtaining a value of the second difference and marking it as EC; The values ​​of the switching time difference and the total number of switching times are extracted and marked as KS and KZ respectively; The four marked data items are combined to obtain the state evaluation value ZP of the storage box door switch through the formula calculation; the expression of the formula is:

[0032] In the formula, is the compensation factor, which can be 1.3265, c1 and c2 are different proportional coefficients that are both greater than zero, and c1+c2=1, c1 can be 0.362, and c2 can be 0.638; It should be noted that the status evaluation value is a value used to comprehensively evaluate the impact of the storage box door opening and closing on the formation of frost inside the storage box; the status evaluation value is obtained by combining the temperature difference between the inside and outside of the storage box during the storage opening and closing process, the relative humidity difference, the duration of the opening and closing, and the total number of opening and closing times. The larger the status evaluation value, the greater the impact of the corresponding frost layer formation, so that adaptive dynamic monitoring and prompting can be achieved, thereby improving the monitoring effect of the internal operation of the storage box; In addition, the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected, and the thresholds and ranges of various matching analyses can be set based on the existing big data of warehousing and goods.

[0033] The impact of the storage box door opening and closing on the frost formation in the storage box is analyzed based on the state evaluation value, and the door evaluation set is obtained, including: Compare the state evaluation value ZP with the preset state evaluation range [PF1, PF2]; If ZP<PF1, it is determined that the influence of the storage box door switch on the formation of frost in the storage box is low and a first status evaluation signal is generated; If PF1≤ZP≤PF2, it is determined that the influence of the storage box door switch on the formation of frost in the storage box is moderate and a second status evaluation signal is generated; If ZP>PF2, it is determined that the influence of the storage box door switch on the formation of frost in the storage box is high and a third status evaluation signal is generated; The first status evaluation signal, the second status evaluation signal and the third status evaluation signal constitute a box gate evaluation set.

[0034] In the embodiment of the present invention, the impact of the storage box door switch on the formation of frost inside the storage box is analyzed and evaluated through the state evaluation value, and the corresponding different degrees of impact are obtained, so that corresponding prompts can be adaptively given according to the different degrees of impact, so that the staff can clean up in time. Different from the manual observation and experience evaluation in the existing scheme, the embodiment of the present invention can achieve more efficient and convenient monitoring and prompting effects.

[0035] The alarm prompt module is used to issue alarm prompts for the storage conditions and frost conditions of the storage boxes in the warehouse according to the box evaluation set and the box door evaluation set, including: Obtain the box evaluation set and the box door evaluation set and evaluate them separately; If the box evaluation set contains the third inventory signal and the second inventory consumption signal, an early warning reminder that the storage of goods needs to be handled in a timely manner is generated; If the door evaluation set includes the second condition evaluation signal and the third condition evaluation signal, a prompt is generated respectively indicating that the frost layer in the storage box needs to be cleaned and that it needs to be cleaned immediately.

[0036] In an embodiment of the present invention, by performing targeted storage status monitoring on different types of goods stored in storage boxes and monitoring the storage and consumption status of the remaining goods in the storage boxes after some of the goods have been moved out, the opening and closing conditions of the storage boxes can also be monitored to evaluate the impact of frost formation in the storage boxes, thereby achieving diversified monitoring and management of cold chain logistics warehousing.

[0037] Embodiment 2 like Figure 2 As shown, the intelligent management method of cold chain logistics warehousing based on big data includes: Monitor and count the storage and removal status of goods in cold chain logistics warehouses, and obtain a warehouse set containing storage information and removal information; Monitor and count the operation of the storage box door during the storage and removal of goods, and obtain the opening and closing set of the storage box door; According to the storage set and the switch set, the storage effect of the storage box and the opening and closing influence of the storage box door are analyzed and evaluated to obtain the box evaluation set and the box door evaluation set; Based on the box evaluation set and the box door evaluation set, alarms are issued for the storage conditions and frost conditions of the storage boxes in the warehouse respectively.

[0038] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0039] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0040] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. The intelligent management system for cold chain logistics and warehousing based on big data is characterized by: It includes storage box module, storage box door module, monitoring and evaluation module, alarm prompt module, server and database; The storage box module is used to monitor and count the storage and removal status of goods in the cold chain logistics warehouse, obtain a storage set containing storage information and removal information, and upload it to the server; The storage box door module is used to monitor and count the operation of the storage box door during the storage and removal of goods, obtain the switch set of the storage box door and upload it to the server; The monitoring and evaluation module is used to analyze and evaluate the storage effect of the storage box and the opening and closing influence of the storage box door according to the storage set and the opening and closing set, obtain the box evaluation set and the box door evaluation set containing the first inventory data and send them to the database and the server respectively, including: Obtain storage information and removal information from the storage center, and mark the cargo weight coefficient, cargo storage volume, cargo storage quality, and total storage time in the storage information; When the goods stored in the storage box have not been moved out, the data of the value mark are combined to obtain the storage box's inventory coefficient; Obtain the corresponding inventory threshold according to the name of the goods, match and analyze the inventory coefficient with the inventory threshold, and obtain the first inventory data including the first inventory signal, the second inventory signal and the third inventory signal; The alarm prompt module is used to issue alarm prompts for the storage conditions and frost conditions of the storage boxes in the warehouse according to the box evaluation set and the box door evaluation set.

2. The cold chain logistics warehousing intelligent management system based on big data according to claim 1 is characterized in that: Monitor and count the storage and removal of goods in cold chain logistics warehouses, including: Before the goods are stored in the storage box, the name of the goods is obtained and matched with the list of goods names pre-stored in the database to obtain the corresponding goods weight coefficient; The storage volume and storage quality of the goods after the goods are stored in the storage box, as well as the total storage time and the total number of storage times are obtained respectively; the goods weight coefficient, the storage volume, the storage quality, the total number of storage times and the total storage time constitute the storage information; When the goods inside the storage box are moved out, the total time and number of times the goods are moved out of the storage box are counted; the volume and quality of the goods after they are moved out of the storage box are monitored and counted; the total time, volume, quality and total number of times the goods are moved out constitute the moving information.

3. The cold chain logistics warehousing intelligent management system based on big data according to claim 2 is characterized in that: The total moving time, cargo moving volume, cargo moving mass and total moving times in the moving information are marked respectively; the data marked in the moving information are combined to obtain the second cargo inventory data; the first cargo inventory data and the second cargo inventory data constitute a box evaluation set; Evaluate the switch set to obtain the door evaluation set.

4. The cold chain logistics warehousing intelligent management system based on big data according to claim 3 is characterized in that: Combine the data marked in the removal information to obtain the second inventory data, including: When the goods stored in the storage box have not been completely moved out, the inventory coefficient is combined with the data marked in the moving information to obtain the inventory consumption coefficient of the remaining stored goods in the storage box; The corresponding inventory consumption threshold is obtained according to the name of the goods, and the inventory consumption coefficient is matched and analyzed with the inventory consumption threshold to obtain the second goods inventory data including the first inventory consumption signal and the second inventory consumption signal.

5. The cold chain logistics warehousing intelligent management system based on big data according to claim 3 is characterized in that: Evaluate the switch set, including: Obtain the first temperature, the first relative humidity, the second temperature, the second relative humidity, the switching time difference and the total number of switches in the switch set; obtain the difference between the second temperature and the first temperature and set it as the first difference; obtain the difference between the second relative humidity and the first relative humidity and set it as the second difference; respectively extract the values ​​of the switching time difference and the total number of switches and mark them; Obtain the gate evaluation set based on the labeled data.

6. The cold chain logistics warehousing intelligent management system based on big data according to claim 5 is characterized in that: The four marked data items are combined to obtain the status evaluation value of the storage box door switch; the impact of the storage box door switch on the formation of frost inside the storage box is analyzed based on the status evaluation value, and the status evaluation value is matched with the preset status evaluation range to obtain a door evaluation set including the first status evaluation signal, the second status evaluation signal and the third status evaluation signal.

7. The cold chain logistics warehousing intelligent management system based on big data according to claim 1 is characterized in that: According to the box evaluation set and the box door evaluation set, alarms are given for the storage conditions and frost conditions of the storage boxes in the warehouse, including: If the box evaluation set contains the third inventory signal and the second inventory consumption signal, an early warning reminder that the storage of goods needs to be handled in a timely manner is generated; If the door evaluation set includes the second condition evaluation signal and the third condition evaluation signal, a prompt is generated respectively indicating that the frost layer in the storage box needs to be cleaned and that it needs to be cleaned immediately.

8. A cold chain logistics warehousing intelligent management method based on big data, applied to a cold chain logistics warehousing intelligent management system based on big data as claimed in any one of claims 1 to 7, characterized in that: include: Monitor and count the storage and removal status of goods in cold chain logistics warehouses, and obtain a warehouse set containing storage information and removal information; Monitor and count the operation of the storage box doors during the storage and removal of goods, and obtain the opening and closing set of the storage box doors; According to the storage set and the switch set, the storage effect of the storage box and the opening and closing influence of the storage box door are analyzed and evaluated to obtain the box evaluation set and the box door evaluation set; Based on the box evaluation set and the box door evaluation set, alarms are issued for the storage conditions and frost conditions of the storage boxes in the warehouse respectively.

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