A big data logistics management system

Abstract

The present invention relates to the field of logistics management, and specifically discloses a big data logistics management system, including a data processing unit, an order management unit, a transportation management unit and a warehousing management unit, wherein the data processing unit, the order management unit, the transportation management unit and the warehousing management unit are communicatively connected with each other. By utilizing Internet big data, the logistics management system is made more scientific and detailed, and the management efficiency is higher. Moreover, the whole process from order generation to order closing can be tracked and managed, ensuring the safety during the order completion process. Moreover, the logistics transportation and logistics storage park can be managed and protected in an all-round manner, so that the whole process of logistics goods from order placement to storage and then to transportation and distribution can be effectively managed, tracked and protected.

Description

Technical Field

[0001] The present invention relates to a management system, in particular to a big data logistics management system, and belongs to the field of logistics management. Background Art

[0002] The logistics management system is a comprehensive management platform designed to control supply chain and transportation operations. Its goal is to achieve efficient, accurate and controllable logistics operations, thereby improving the quality of corporate logistics services and reducing logistics costs, and ensuring the safety of the entire logistics management process. In the existing logistics management system, the logistics order, transportation and storage modules are basically separated from each other, and it is impossible to integrate several modules into one management system for management at the same time. As a result, multiple management systems are required in the management process, and a module cannot communicate in time after an error occurs, which in turn affects the entire logistics chain. In addition, during the logistics storage process, it is impossible to effectively monitor the safety protection of the stored goods, and basically relies on the management of third-party parks, which leads to safety problems that are prone to occur in the management process and cannot be discovered and handled in time. Summary of the invention

[0003] In view of the problems in the prior art, the present invention provides a big data logistics management system.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] A big data logistics management system comprises a data processing unit, an order management unit, a transportation management unit and a warehousing management unit, wherein the data processing unit, the order management unit, the transportation management unit and the warehousing management unit are communicatively connected with each other;

[0006] The order management unit is used to collect order entry information, order processing information, order allocation information and order tracking information;

[0007] The transport management unit is used to collect vehicle management information, route planning information and transport tracking information;

[0008] The storage management unit is used to collect management and control information of the logistics park, and the management and control information includes first defense management and control information, second defense management and control information and third defense management and control information;

[0009] The data processing unit receives and processes the information collected by the order management unit, the transportation management unit and the warehousing management unit and then sends it to the backend terminal.

[0010] Optionally, the order management unit includes an order entry module, an order processing module, an order allocation module and an order tracking module;

[0011] The order entry module is used to record new incoming orders and form order entry information;

[0012] The order processing module processes the newly-incoming order according to the order entry information, so that the new order is in a waiting-for-assignment state, and forms order processing information;

[0013] The order allocation module allocates orders according to the order processing information to form order allocation information;

[0014] The order tracking module tracks and records the order according to the order allocation information until the order is completed, forming order tracking information.

[0015] Optionally, the transport management unit includes a vehicle management module, a route planning module and a transport tracking module;

[0016] The vehicle management module is used for allocating and using vehicles, and recording the vehicle usage status to form vehicle management information;

[0017] The route planning module plans the driving route according to the vehicle management information and the order allocation information to form route planning information;

[0018] The transport tracking module records the position of the transport vehicle in real time according to the route planning information, and compares the vehicle position with the planned driving route. If the vehicle deviates from the planned driving route, an alarm signal is issued. The alarm signal and the vehicle position constitute the transport tracking information.

[0019] Optionally, the warehouse management unit includes a patrol information collection module, a security information collection module, a logistics park information collection module, a publicity information collection module, a fire information collection module, a data processing module and an information sending module;

[0020] The patrol information collection module is used to collect patrol information in the logistics park. The patrol process of the logistics park includes manual patrol and robot patrol. The patrol information collected in the logistics park includes patrol personnel information and patrol robot information. During the patrol process, at least two people patrol at the same time.

[0021] The security information collection module is used to collect security information in the logistics park, and the logistics park information collection module is used to collect information related to the logistics park;

[0022] The publicity information collection module is used to collect publicity information;

[0023] The data processing module is used to process patrol information, security information, logistics park related information and publicity information to obtain first defense control information, second defense control information and third defense control information;

[0024] The information sending module is used to send the first defense control information, the second defense control information and the third defense control information to the data processing unit after they are generated.

[0025] Optionally, a specific processing process of the first defense management and control information is as follows:

[0026] Extract the collected patrol information and logistics park related information, the patrol information includes patrol personnel information and patrol robot information;

[0027] The patrol personnel information includes the current number of patrol personnel and the patrol area of ​​a single patrol personnel;

[0028] The patrol robot information includes the current number of patrol robots and the patrol area of ​​a single robot;

[0029] The information related to the logistics park includes the security area information of the logistics park;

[0030] The patrol personnel information, the patrol robot information and the logistics park security area information are processed to obtain a first evaluation parameter. When the first evaluation parameter is abnormal, first defense control information is generated;

[0031] The process of obtaining the first evaluation parameter is as follows: the current number of patrol personnel is marked as A1, the patrol area of ​​a single patrol personnel is marked as A2, the current number of patrol robots is marked as B1, the patrol area of ​​a single robot is marked as B2, and the security area of ​​the logistics park is marked as E;

[0032] The first evaluation parameter Eab is obtained by the formula E-(A1 / 2*A1+B2*B2)=Eab;

[0033] When the first evaluation parameter Eab is greater than a preset value, it means that the first evaluation parameter Eab abnormally generates the first defense control information.

[0034] Optionally, the first defense control information includes first auxiliary control information and second auxiliary control information;

[0035] The specific processing process of the first auxiliary control information and the second auxiliary control information is as follows: through A1 / 2*A1=Aa, the manual patrol area Aa is obtained;

[0036] The robot patrol area Bb is obtained by the formula B2*B2=Bb;

[0037] When the time period is between the preset time periods F1 and F2, only the first auxiliary control information is generated;

[0038] When the time period is within the time period from F2+1min to F1-1min of the next day, Aa and Bb are analyzed to generate the first auxiliary regulation information or the second auxiliary regulation information.

[0039] Optionally, the patrol information collection module also collects real-time patrol positioning information, which includes personnel patrol positioning and robot patrol positioning;

[0040] The data processing module processes the patrol positioning of personnel to obtain the real-time personnel path, and processes the patrol positioning of robots to obtain the real-time robot path;

[0041] The real-time personnel path and the real-time robot path are processed. When the real-time personnel path is abnormal, personnel prompt information is generated; when the real-time robot path is abnormal, robot scheduling control information is generated.

[0042] Optionally, the patrol personnel positioning is a group of real-time position information of at least two patrol personnel, and the real-time patrol positioning information is processed to obtain patrol personnel spacing assessment parameters, and when the patrol personnel spacing assessment parameters are abnormal, a warning message that the personnel are away is generated;

[0043] The data processing module also processes the patrol positioning of personnel and the patrol positioning of robots to obtain abnormal warnings for personnel and robots;

[0044] The acquisition process of the personnel abnormality warning is as follows: extracting personnel patrol location information, extracting at least two patrol positions from the personnel patrol location, recording the length of time that the positions of the two patrol positions have not changed, and when the length of time that the positions of the two patrol positions have not changed is greater than a preset value, generating a personnel abnormality warning;

[0045] The process of obtaining the robot abnormality warning is the same as the process of obtaining the personnel abnormality warning, that is, when the robot patrol position does not change for a period of time greater than a preset value, a robot abnormality warning is generated.

[0046] Optionally, the specific processing process of the second defense control information is as follows: extracting the collected logistics park security information, the logistics park security information including security camera information and fire fighting equipment information;

[0047] The security camera information is processed to obtain a first security parameter, and the fire-fighting equipment information is processed to obtain a second security parameter;

[0048] When any one of the first security parameter and the second security parameter is abnormal, the second defense control information is generated;

[0049] The process of obtaining the first security parameter is as follows: extracting logistics park information, the logistics park information also includes the number of buildings in the logistics park, and then extracting security camera information, the security camera information includes high-altitude monitoring camera information and surveillance camera information;

[0050] High-altitude monitoring camera information includes the number of high-altitude monitoring cameras and the number of buildings covered by a single high-altitude monitoring camera;

[0051] Surveillance camera information includes the number of cameras and the surveillance coverage area of ​​a single surveillance camera;

[0052] The number of high-altitude monitoring cameras is marked as H1, the number of buildings covered by a single high-altitude monitoring camera is marked as H2, and the number of buildings in the logistics park is marked as Z;

[0053] The high-altitude monitoring coverage evaluation parameters are obtained through the formula H1*H2-Z=Zh;

[0054] The number of cameras is marked as P1, the monitoring coverage area of ​​a single surveillance camera is marked as P2, and then the security area of ​​the logistics park is extracted from the logistics park information and marked as Y;

[0055] The monitoring coverage evaluation parameters are obtained through the formula P1*P2-Y=Yp;

[0056] The high-altitude monitoring coverage assessment parameter and the monitoring coverage assessment parameter constitute the first security parameter;

[0057] When either the high-altitude monitoring coverage evaluation parameter or the monitoring coverage evaluation parameter is less than 0, it means that the first security parameter is abnormal;

[0058] The acquisition process of the second security parameter is as follows: extracting the collected fire-fighting equipment information, the fire-fighting equipment information includes the number of fire extinguishers and fire hydrant information, and the fire hydrant information includes the water pressure information of the fire hydrant and the number of fire hydrants;

[0059] The number of fire extinguishers is marked as M, and the ratio of the number of fire extinguishers M to the number of buildings in the logistics park is calculated to obtain the first fire protection parameter;

[0060] Then, the ratio of the number of fire hydrant water pressure information less than the preset value to the number of fire hydrants is calculated to obtain the second fire protection parameter;

[0061] The first fire protection parameter and the second fire protection parameter constitute the second security parameter;

[0062] When the first fire protection parameter is less than a preset value or the second fire protection parameter is greater than a preset value, it indicates that there is an abnormality in the second security parameter.

[0063] Optionally, the specific processing process of the third defense control information is as follows: extracting the collected publicity information, the publicity information is the content update speed information of the logistics park safety publicity column and the number information of the safety publicity columns in the logistics park;

[0064] Extract the security area of ​​the logistics park from the relevant information of the logistics park, calculate the ratio of the security area of ​​the logistics park to the number of safety publicity columns in the logistics park, and obtain the publicity area ratio. When the publicity area ratio is less than the preset value, the third defense control information is generated;

[0065] When the content update speed information of the logistics park safety publicity column is less than the preset value, the third defense control information is generated.

[0066] Beneficial effects of the present invention:

[0067] The use of Internet big data makes the logistics management system more scientific, detailed and efficient. It can also track and manage the entire process from order generation to order closing, ensuring the safety of order completion. It can also provide all-round management and protection for logistics transportation and logistics storage parks, so that the entire process of logistics goods from order placement to storage and transportation and distribution can be effectively managed, tracked and protected. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0069] Figure 1 It is a system diagram of the present invention. DETAILED DESCRIPTION

[0070] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0071] See also Figure 1 As shown, a big data logistics management system includes a data processing unit, an order management unit, a transportation management unit and a warehousing management unit, and the data processing unit, the order management unit, the transportation management unit and the warehousing management unit are communicatively connected with each other;

[0072] The order management unit is used to collect order entry information, order processing information, order allocation information and order tracking information; through the order management unit, the order status can be monitored in real time to improve the order processing efficiency;

[0073] The transport management unit is used to collect vehicle management information, route planning information and transport tracking information;

[0074] The storage management unit is used to collect management and control information of the logistics park, and the management and control information includes first defense management and control information, second defense management and control information and third defense management and control information;

[0075] The data processing unit receives and processes the information collected by the order management unit, the transportation management unit and the warehousing management unit and then sends it to the backend terminal.

[0076] As a technical optimization solution of the present invention, the order management unit includes an order entry module, an order processing module, an order allocation module and an order tracking module;

[0077] The order entry module is used to record new incoming orders and form order entry information;

[0078] The order processing module processes the newly-incoming order according to the order entry information, so that the new order is in a waiting-for-assignment state, and forms order processing information;

[0079] The order allocation module allocates orders according to the order processing information to form order allocation information;

[0080] The order tracking module tracks and records the order according to the order allocation information until the order is completed, forming order tracking information.

[0081] As a technical optimization solution of the present invention, the transportation management unit includes a vehicle management module, a route planning module and a transportation tracking module;

[0082] The vehicle management module is used for allocating and using vehicles, and recording the vehicle usage status to form vehicle management information;

[0083] The route planning module plans the driving route according to the vehicle management information and the order allocation information to form route planning information;

[0084] The transport tracking module records the position of the transport vehicle in real time according to the route planning information, and compares the vehicle position with the planned driving route. If the vehicle deviates from the planned driving route, an alarm signal is issued. The alarm signal and the vehicle position constitute the transport tracking information.

[0085] As a technical optimization solution of the present invention, the warehouse management unit includes a patrol information collection module, a security information collection module, a logistics park information collection module, a publicity information collection module, a fire information collection module, a data processing module and an information sending module;

[0086] The patrol information collection module is used to collect patrol information in the logistics park. The patrol process of the logistics park includes manual patrol and robot patrol. The patrol information collected in the logistics park includes patrol personnel information and patrol robot information. During the patrol process, at least two people patrol at the same time.

[0087] The security information collection module is used to collect security information in the logistics park, and the logistics park information collection module is used to collect information related to the logistics park;

[0088] The publicity information collection module is used to collect publicity information;

[0089] The data processing module is used to process patrol information, security information, logistics park related information and publicity information to obtain first defense control information, second defense control information and third defense control information;

[0090] The information sending module is used to send the first defense control information, the second defense control information and the third defense control information to the data processing unit after they are generated.

[0091] As a technical optimization solution of the present invention, the specific processing process of the first defense control information is as follows:

[0092] Extract the collected patrol information and logistics park related information, the patrol information includes patrol personnel information and patrol robot information;

[0093] The patrol personnel information includes the current number of patrol personnel and the patrol area of ​​a single patrol personnel;

[0094] The patrol robot information includes the current number of patrol robots and the patrol area of ​​a single robot;

[0095] The information related to the logistics park includes the security area information of the logistics park;

[0096] The patrol personnel information, the patrol robot information and the logistics park security area information are processed to obtain a first evaluation parameter. When the first evaluation parameter is abnormal, first defense control information is generated;

[0097] The process of obtaining the first evaluation parameter is as follows: the current number of patrol personnel is marked as A1, the patrol area of ​​a single patrol personnel is marked as A2, the current number of patrol robots is marked as B1, the patrol area of ​​a single robot is marked as B2, and the security area of ​​the logistics park is marked as E;

[0098] The first evaluation parameter Eab is obtained by the formula E-(A1 / 2*A1+B2*B2)=Eab;

[0099] When the first evaluation parameter Eab is greater than a preset value, it means that the first evaluation parameter Eab abnormally generates the first defense control information.

[0100] As a technical optimization solution of the present invention, the first defense control information includes first auxiliary control information and second auxiliary control information;

[0101] The specific processing process of the first auxiliary control information and the second auxiliary control information is as follows: through A1 / 2*A1=Aa, the manual patrol area Aa is obtained;

[0102] The robot patrol area Bb is obtained by the formula B2*B2=Bb;

[0103] When the time period is between the preset time periods F1 and F2, only the first auxiliary control information is generated;

[0104] The time period from F1 to F2 is daytime. During the day, patrols are more likely to be conducted by manpower. Patrol personnel are energetic during the day. There are many people and vehicles on the roads in the logistics park. Robot patrols are prone to collisions with vehicles, or robots deviate from the driving path to avoid pedestrians, or patrol robots drive too slowly, causing road congestion. In addition, there are fewer safety issues that may be encountered during patrols during the day. Therefore, manual patrols are mainly used to generate the first defense control information, which is the first auxiliary control information. At this time, the content of the first auxiliary control information is to mobilize more manpower for patrols when the patrol coverage area is insufficient during the daytime when there are sufficient patrol personnel.

[0105] When the time period is in the time period of F2+1min to F1-1min of the next day, Aa and Bb are analyzed to generate the first auxiliary control information or the second auxiliary control information;

[0106] When Aa>2Bb, the first auxiliary control information is generated;

[0107] When Aa<Bb, the second auxiliary control information is generated;

[0108] The time period from F2+1min to F1-1min of the next day is at night. During this period, there are relatively few vehicles and pedestrians on the road. Therefore, it is necessary to control the robots to patrol the logistics park. When Aa>2Bb, it means that there are too many people patrolling at night and too few robots. In this case, the first auxiliary control information is generated to control more robots to patrol the logistics park.

[0109] Aa<Bb, which means that there are too few people on night patrol, and the second auxiliary control information is generated to increase the number of night patrol personnel.

[0110] As a technical optimization solution of the present invention, the patrol information collection module also collects real-time patrol positioning information, which includes personnel patrol positioning and robot patrol positioning;

[0111] The data processing module processes the patrol positioning of personnel to obtain the real-time personnel path, and processes the patrol positioning of robots to obtain the real-time robot path;

[0112] The real-time personnel path and the real-time robot path are processed. When the real-time personnel path is abnormal, personnel prompt information is generated; when the real-time robot path is abnormal, robot scheduling control information is generated.

[0113] The process of obtaining the real-time personnel path is as follows: collect the patrol location of the personnel once every preset time, and after collecting at least x times in succession, connect the time sequence of the x patrol locations to obtain the real-time personnel path;

[0114] The process of acquiring the real-time robot path is as follows: collect the patrol location of the personnel once every preset time, collect the location of the patrol personnel once every preset time, collect the location of the patrol personnel once every preset time, collect the location of the patrol personnel once every preset time, collect the location of the patrol personnel once every x times, and connect the time sequence of the x patrol locations to obtain the real-time personnel path, x ≥ 10;

[0115] The standard manual patrol path and the standard robot patrol path are preset, and the real-time personnel path is compared with the standard manual patrol path to obtain the similarity of the manual path;

[0116] Compare the real-time robot path with the standard robot patrol path to obtain the robot path similarity;

[0117] When the artificial path similarity is less than the preset value, it means that there is an abnormality;

[0118] When the robot path similarity is less than the preset value, it means that there is an abnormality;

[0119] The patrol speed of the standard manual patrol path and the speed of the standard robot patrol path are also set;

[0120] When the difference between the patrol speed of the real-time personnel path and the patrol speed of the standard manual patrol path exceeds the preset range, it indicates that there is an abnormality;

[0121] When the difference between the patrol speed of the real-time robot path and the patrol speed of the standard robot path exceeds the preset range, it indicates that there is an abnormality.

[0122] As a technical optimization solution of the present invention, the patrol personnel positioning is a group of real-time position information of at least two patrol personnel, the real-time patrol positioning information is processed, and the patrol personnel spacing assessment parameters are obtained. When the patrol personnel spacing assessment parameters are abnormal, a warning message is generated, that is, a person staying away is generated;

[0123] The process of acquiring the patrol personnel spacing assessment parameter is as follows: extract the real-time location information of a group of two patrol personnel, mark them as G1 and G2 respectively, and actually collect the distance information between G1 and G2, that is, obtain the patrol personnel spacing assessment parameter. When the patrol personnel spacing assessment parameter is greater than the preset value for more than the preset time, it means that the patrol personnel spacing assessment parameter is abnormal.

[0124] The data processing module also processes the patrol positioning of personnel and the patrol positioning of robots to obtain abnormal warnings for personnel and robots;

[0125] The acquisition process of the personnel abnormality warning is as follows: extracting personnel patrol location information, extracting at least two patrol positions from the personnel patrol location, recording the length of time that the positions of the two patrol positions have not changed, and when the length of time that the positions of the two patrol positions have not changed is greater than a preset value, generating a personnel abnormality warning;

[0126] The process of obtaining the robot abnormality warning is the same as the process of obtaining the personnel abnormality warning, that is, when the robot patrol position does not change for a period of time greater than a preset value, a robot abnormality warning is generated.

[0127] When patrol personnel handle the same position for a long time without any position change, it means that the patrol personnel may encounter an abnormal situation, so a personnel abnormality alert is generated to prompt the patrol personnel to report the abnormality or resume patrol;

[0128] When the patrol robot handles the same position for a long time without any position change, it means that the patrol robot may have encountered a fault or is blocked by an obstacle and cannot move. Therefore, a robot abnormality alarm is generated in time to prompt maintenance personnel to check the robot to ensure that the patrol robot can safely and stably perform security defense in the logistics park.

[0129] As a technical optimization solution of the present invention, the specific processing process of the second defense control information is as follows: extracting the collected logistics park security information, the logistics park security information includes security camera information and fire equipment information;

[0130] The security camera information is processed to obtain a first security parameter, and the fire-fighting equipment information is processed to obtain a second security parameter;

[0131] When any one of the first security parameter and the second security parameter is abnormal, the second defense control information is generated;

[0132] The process of obtaining the first security parameter is as follows: extracting logistics park information, the logistics park information also includes the number of buildings in the logistics park, and then extracting security camera information, the security camera information includes high-altitude monitoring camera information and surveillance camera information;

[0133] High-altitude monitoring camera information includes the number of high-altitude monitoring cameras and the number of buildings covered by a single high-altitude monitoring camera;

[0134] Surveillance camera information includes the number of cameras and the surveillance coverage area of ​​a single surveillance camera;

[0135] The number of high-altitude monitoring cameras is marked as H1, the number of buildings covered by a single high-altitude monitoring camera is marked as H2, and the number of buildings in the logistics park is marked as Z;

[0136] The high-altitude monitoring coverage evaluation parameters are obtained through the formula H1*H2-Z=Zh;

[0137] The number of cameras is marked as P1, the monitoring coverage area of ​​a single surveillance camera is marked as P2, and then the security area of ​​the logistics park is extracted from the logistics park information and marked as Y;

[0138] The monitoring coverage evaluation parameters are obtained through the formula P1*P2-Y=Yp;

[0139] The high-altitude monitoring coverage assessment parameter and the monitoring coverage assessment parameter constitute the first security parameter;

[0140] When either the high-altitude monitoring coverage evaluation parameter or the monitoring coverage evaluation parameter is less than 0, it means that the first security parameter is abnormal;

[0141] The acquisition process of the second security parameter is as follows: extracting the collected fire-fighting equipment information, the fire-fighting equipment information includes the number of fire extinguishers and fire hydrant information, and the fire hydrant information includes the water pressure information of the fire hydrant and the number of fire hydrants;

[0142] The number of fire extinguishers is marked as M, and the ratio of the number of fire extinguishers M to the number of buildings in the logistics park is calculated to obtain the first fire protection parameter;

[0143] Then, the ratio of the number of fire hydrant water pressure information less than the preset value to the number of fire hydrants is calculated to obtain the second fire protection parameter;

[0144] The first fire protection parameter and the second fire protection parameter constitute the second security parameter;

[0145] When the first fire protection parameter is less than a preset value or the second fire protection parameter is greater than a preset value, it indicates that there is an abnormality in the second security parameter.

[0146] As a technical optimization solution of the present invention, the specific processing process of the third defense control information is as follows: extracting the collected publicity information, the publicity information is the content update speed information of the logistics park safety publicity column and the number information of the safety publicity columns in the logistics park;

[0147] Extract the security area of ​​the logistics park from the relevant information of the logistics park, calculate the ratio of the security area of ​​the logistics park to the number of safety publicity columns in the logistics park, and obtain the publicity area ratio. When the publicity area ratio is less than the preset value, the third defense control information is generated;

[0148] When the content update speed information of the logistics park safety publicity column is less than the preset value, the third defense control information is generated.

[0149] The specific content of the third defense control information is that the safety publicity work in the logistics park is poor, and adjustments to the safety publicity in the logistics park are needed.

[0150] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A big data logistics management system, characterized in that: It includes a data processing unit, an order management unit, a transportation management unit and a warehousing management unit, and the data processing unit, the order management unit, the transportation management unit and the warehousing management unit are communicatively connected with each other; The order management unit is used to collect order entry information, order processing information, order allocation information and order tracking information; The transport management unit is used to collect vehicle management information, route planning information and transport tracking information; The storage management unit is used to collect management and control information of the logistics park, and the management and control information includes first defense management and control information, second defense management and control information and third defense management and control information; The data processing unit receives and processes the information collected by the order management unit, the transportation management unit and the warehousing management unit and then sends it to the backend terminal.

2. A big data logistics management system according to claim 1, characterized in that: The order management unit includes an order entry module, an order processing module, an order allocation module and an order tracking module; The order entry module is used to record new incoming orders and form order entry information; The order processing module processes the newly-incoming order according to the order entry information, so that the new order is in a waiting-for-assignment state, and forms order processing information; The order allocation module allocates orders according to the order processing information to form order allocation information; The order tracking module tracks and records the order according to the order allocation information until the order is completed, forming order tracking information.

3. A big data logistics management system according to claim 2, characterized in that: The transport management unit includes a vehicle management module, a route planning module and a transport tracking module; The vehicle management module is used for allocating and using vehicles, and recording the vehicle usage status to form vehicle management information; The route planning module plans the driving route according to the vehicle management information and the order allocation information to form route planning information; The transport tracking module records the position of the transport vehicle in real time according to the route planning information, and compares the vehicle position with the planned driving route. If the vehicle deviates from the planned driving route, an alarm signal is issued. The alarm signal and the vehicle position constitute the transport tracking information.

4. A big data logistics management system according to claim 1, characterized in that: The warehouse management unit includes a patrol information collection module, a security information collection module, a logistics park information collection module, a publicity information collection module, a fire information collection module, a data processing module and an information sending module; The patrol information collection module is used to collect patrol information in the logistics park. The patrol process of the logistics park includes manual patrol and robot patrol. The patrol information collected in the logistics park includes patrol personnel information and patrol robot information. During the patrol process, at least two people patrol at the same time. The security information collection module is used to collect security information in the logistics park, and the logistics park information collection module is used to collect information related to the logistics park; The publicity information collection module is used to collect publicity information; The data processing module is used to process patrol information, security information, logistics park related information and publicity information to obtain first defense control information, second defense control information and third defense control information; The information sending module is used to send the first defense control information, the second defense control information and the third defense control information to the data processing unit after they are generated.

5. A big data logistics management system according to claim 4, characterized in that: The specific processing process of the first defense control information is as follows: Extract the collected patrol information and logistics park related information, the patrol information includes patrol personnel information and patrol robot information; The patrol personnel information includes the current number of patrol personnel and the patrol area of ​​a single patrol personnel; The patrol robot information includes the current number of patrol robots and the patrol area of ​​a single robot; The information related to the logistics park includes the security area information of the logistics park; The patrol personnel information, the patrol robot information and the logistics park security area information are processed to obtain a first evaluation parameter. When the first evaluation parameter is abnormal, first defense control information is generated; The process of obtaining the first evaluation parameter is as follows: the current number of patrol personnel is marked as A1, the patrol area of ​​a single patrol personnel is marked as A2, the current number of patrol robots is marked as B1, the patrol area of ​​a single robot is marked as B2, and the security area of ​​the logistics park is marked as E; The first evaluation parameter Eab is obtained by the formula E-(A1 / 2*A1+B2*B2)=Eab; When the first evaluation parameter Eab is greater than a preset value, it means that the first evaluation parameter Eab abnormally generates the first defense control information.

6. A big data logistics management system according to claim 5, characterized in that: The first defense control information includes first auxiliary control information and second auxiliary control information; The specific processing process of the first auxiliary control information and the second auxiliary control information is as follows: through A1 / 2*A1=Aa, the manual patrol area Aa is obtained; The robot patrol area Bb is obtained by the formula B2*B2=Bb; When the time period is between the preset time periods F1 and F2, only the first auxiliary control information is generated; When the time period is within the time period from F2+1min to F1-1min of the next day, Aa and Bb are analyzed to generate the first auxiliary regulation information or the second auxiliary regulation information.

7. A big data logistics management system according to claim 6, characterized in that: The patrol information collection module also collects real-time patrol positioning information, which includes personnel patrol positioning and robot patrol positioning; The data processing module processes the patrol positioning of personnel to obtain the real-time personnel path, and processes the patrol positioning of robots to obtain the real-time robot path; The real-time personnel path and the real-time robot path are processed. When the real-time personnel path is abnormal, personnel prompt information is generated; when the real-time robot path is abnormal, robot scheduling control information is generated.

8. A big data logistics management system according to claim 7, characterized in that: The patrol personnel positioning is the real-time position information of a group of at least two patrol personnel. The real-time patrol positioning information is processed to obtain the patrol personnel spacing assessment parameters. When the patrol personnel spacing assessment parameters are abnormal, a warning message is generated, that is, a person-staying-away warning message is generated; The data processing module also processes the patrol positioning of personnel and the patrol positioning of robots to obtain abnormal warnings for personnel and robots; The acquisition process of the personnel abnormality warning is as follows: extracting personnel patrol location information, extracting at least two patrol positions from the personnel patrol location, recording the length of time that the positions of the two patrol positions have not changed, and when the length of time that the positions of the two patrol positions have not changed is greater than a preset value, generating a personnel abnormality warning; The process of obtaining the robot abnormality warning is the same as the process of obtaining the personnel abnormality warning, that is, when the robot patrol position does not change for a period of time greater than a preset value, a robot abnormality warning is generated.

9. A big data logistics management system according to claim 8, characterized in that: The specific processing process of the second defense control information is as follows: extracting the collected logistics park security information, the logistics park security information includes security camera information and fire equipment information; The security camera information is processed to obtain a first security parameter, and the fire-fighting equipment information is processed to obtain a second security parameter; When any one of the first security parameter and the second security parameter is abnormal, the second defense control information is generated; The process of obtaining the first security parameter is as follows: extracting logistics park information, the logistics park information also includes the number of buildings in the logistics park, and then extracting security camera information, the security camera information includes high-altitude monitoring camera information and surveillance camera information; High-altitude monitoring camera information includes the number of high-altitude monitoring cameras and the number of buildings covered by a single high-altitude monitoring camera; Surveillance camera information includes the number of cameras and the surveillance coverage area of ​​a single surveillance camera; The number of high-altitude monitoring cameras is marked as H1, the number of buildings covered by a single high-altitude monitoring camera is marked as H2, and the number of buildings in the logistics park is marked as Z; The high-altitude monitoring coverage evaluation parameters are obtained through the formula H1*H2-Z=Zh; The number of cameras is marked as P1, the monitoring coverage area of ​​a single surveillance camera is marked as P2, and then the security area of ​​the logistics park is extracted from the logistics park information and marked as Y; The monitoring coverage evaluation parameters are obtained through the formula P1*P2-Y=Yp; The high-altitude monitoring coverage assessment parameter and the monitoring coverage assessment parameter constitute the first security parameter; When either the high-altitude monitoring coverage evaluation parameter or the monitoring coverage evaluation parameter is less than 0, it means that the first security parameter is abnormal; The acquisition process of the second security parameter is as follows: extracting the collected fire-fighting equipment information, the fire-fighting equipment information includes the number of fire extinguishers and fire hydrant information, and the fire hydrant information includes the water pressure information of the fire hydrant and the number of fire hydrants; The number of fire extinguishers is marked as M, and the ratio of the number of fire extinguishers M to the number of buildings in the logistics park is calculated to obtain the first fire protection parameter; Then, the ratio of the number of fire hydrant water pressure information less than the preset value to the number of fire hydrants is calculated to obtain the second fire protection parameter; The first fire protection parameter and the second fire protection parameter constitute the second security parameter; When the first fire protection parameter is less than a preset value or the second fire protection parameter is greater than a preset value, it indicates that there is an abnormality in the second security parameter.

10. A big data logistics management system according to claim 9, characterized in that: The specific processing process of the third defense control information is as follows: extracting the collected publicity information, the publicity information is the content update speed information of the logistics park safety publicity column and the number information of the safety publicity columns in the logistics park; Extract the security area of ​​the logistics park from the relevant information of the logistics park, calculate the ratio of the security area of ​​the logistics park to the number of safety publicity columns in the logistics park, and obtain the publicity area ratio. When the publicity area ratio is less than the preset value, the third defense control information is generated; When the content update speed information of the logistics park safety publicity column is less than the preset value, the third defense control information is generated.

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