Intelligent logistics service guarantee platform and construction system thereof

Abstract

The invention discloses an intelligent logistics service guarantee platform and a construction system thereof, the intelligent logistics service guarantee platform comprises an enterprise management module, a docking processing module, a data processing module, a model changing module and a big data docking module, and the enterprise management module is in control connection with the docking processing module; according to the logistics service guarantee platform, the enterprise management module and the analysis model module form a main body framework of the logistics service guarantee platform, meanwhile, the back-end coding module and the operation supervision module form a construction regulation and control framework of the platform, and in the operation process, the enterprise management module provides data to be matched with the docking processing module for protocol conversion; the research and development cost of the system is reduced, and the practicability of the system is improved; the data processed by the data processing module can assist the background in discovering service problems, so that the operation efficiency is improved, and the management cost is reduced; and the model is automatically upgraded through the arranged model upgrading module, so that the preventive maintenance and quick response of the system are guaranteed while the upgrading period is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a smart logistics service guarantee platform and a construction system thereof. Background Art

[0002] Logistics management is the process in which managers use certain principles, methods and means to complete logistics tasks efficiently and with high quality through a series of specific management behaviors and leadership activities. In the process of enterprise operation, logistics services are an indispensable part of the daily operation of the enterprise. It ensures the timely supply and normal operation of materials, facilities and equipment required by the enterprise. Whether it is the purchase and distribution of office supplies or the cleaning and maintenance of office space, logistics services provide a stable and efficient working environment for the enterprise. This stability is crucial to the continuous operation and efficient output of the enterprise. The existing logistics service management system can basically meet the daily management needs of the enterprise, but there are still some shortcomings. First, the existing logistics service management system has a single functionality and the transmission in the connected enterprise terminal is not very efficient. First, the input data needs to be uploaded to the platform for processing. The amount of data to be processed is complex and easily mixed with invalid data. At the same time, the processing system is difficult to assist enterprises in discovering operational problems, which increases the operation and management costs of the enterprises. Second, the existing logistics service management system is limited by the system's own protocol type, which limits the data transmission protocol of the docking terminal. The docking process for different transmission protocols requires additional conversion programs, which increases the system's R&D costs and reduces the system's practicality. Third, the analysis model in the existing logistics service management system needs to be maintained and upgraded regularly. The upgrade process requires manual provision of new training data, and the upgrade cycle is long, which also affects the system's own preventive maintenance and rapid response. Therefore, it is necessary to design a smart logistics service guarantee platform and its construction system. Summary of the invention

[0003] The purpose of the present invention is to provide a smart logistics service guarantee platform and its construction system to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a smart logistics service guarantee platform and its construction system, including an enterprise management module, a docking processing module, a data processing module, a back-end coding module, a model iteration module, a big data docking module, an operation supervision module, a code traceability module and an exception feedback module, the enterprise management module controls the connection to the docking processing module, the docking processing module controls the connection to the central processing module, the central processing module controls the connection to the data processing module, the data processing module controls the connection to the analysis model module, the enterprise management module, the docking processing module, the central processing module, the data processing module and the analysis model module all control the connection to the architecture docking module, the architecture docking module respectively controls the connection to the back-end coding module, the model iteration module and the operation supervision module, and the model iteration module controls the connection to the big data docking module.

[0005] As a further technical solution of the present invention, the operation supervision module controls the connection to the code tracing module, the code tracing module controls the connection to the abnormal feedback module, and the abnormal feedback module controls the connection to the backend encoding module.

[0006] As a further technical solution of the present invention, the enterprise management module is composed of an equipment management module, a logistics management module, an inventory management module, a supplier management module, a capital management module and a feedback transmission module. The equipment management module, the logistics management module, the inventory management module, the supplier management module and the capital management module all control the connection to the feedback transmission module.

[0007] As a further technical solution of the present invention, the docking processing module is composed of a protocol detection module, a conversion calling module, an identification pre-check module, a data output module and a pre-stored conversion module, and the protocol detection module controls the connection conversion calling module.

[0008] As a further technical solution of the present invention, the pre-stored conversion module controls the connection conversion calling module, the conversion calling module controls the connection identification pre-check module, and the identification pre-check module controls the connection data output module.

[0009] As a further technical solution of the present invention, the data processing module is composed of a data receiving module, a cleaning processing module, a fusion and deletion module, a processing output module, a behavior detection module, an anomaly screening module and a data tracing module, and the data receiving module controls the connection cleaning processing module.

[0010] As a further technical solution of the present invention, the cleaning processing module controls the connection fusion and deletion module, and the fusion and deletion module controls the connection processing output module.

[0011] As a further technical solution of the present invention, the cleaning processing module and the fusion and deletion module both control the connection behavior detection module, and the behavior detection module controls the connection anomaly screening module, and the anomaly screening module controls the connection data tracing module.

[0012] As a further technical solution of the present invention, the model iteration module is composed of a basic model module, a characteristic parameter module, a weight trade-off module, a parameter adjustment module, a big data comparison module and an adaptation model module. The basic model module controls the connection parameter adjustment module, and the parameter adjustment module controls the connection adaptation model module.

[0013] As a further technical solution of the present invention, the basic model module controls the connection of the feature parameter module, the feature parameter module controls the connection of the weight trade-off module, the weight trade-off module controls the connection of the parameter adjustment module, and the parameter adjustment module controls the connection of the big data comparison module.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the intelligent logistics service guarantee platform and its construction system are composed of an enterprise management module, a data processing module and an analysis model module to form the main structure of the logistics service guarantee platform, and at the same time, the back-end coding module, the model update module and the operation supervision module constitute the construction and control structure of the platform. During the operation, the equipment management module, the logistics management module, the inventory management module, the supplier management module and the capital management module respectively transmit the enterprise equipment data, the logistics data, the inventory data, the supplier data and the preset capital data to the feedback transmission module, and synchronously feed back to the docking processing module. After the data protocol is detected by the protocol detection module, the conversion code in the pre-stored conversion module is called by the conversion call module, and then the format conversion is performed in the conversion call module. After the conversion is completed, the conversion detection is performed by the identification pre-inspection module. After the detection is completed, the data is sent to the central processing module through the data output module. There is no need to carry an additional conversion system for different transmission protocols, thereby reducing the research and development cost of the system and improving the practicality of the system. The data received in the central processing module is sent to the data processing module and then received by the data receiving module. Then, the data is cleaned and deleted and fused through the cleaning processing module and the fusion and deletion module respectively. By eliminating invalid data, the amount of data circulating in the platform is reduced. Then, the data is sent to the analysis model module through the processing output module for model analysis. Combined with the analysis of logistics data, inventory data, and equipment maintenance data, it assists the background in discovering service problems, facilitates optimization and adjustment in the later stage, improves operational efficiency and reduces management costs; the model replacement module is connected to the big data docking module to provide cloud data for model replacement. During the process, the feature parameter module analyzes the model feature parameters in the basic model module, and then the weight weighing module analyzes the occupancy weight of the parameters. Then, the parameter adjustment module adjusts the parameters based on the comparison results of the big data comparison module. Finally, a new model is generated through the adaptation model module, and sent to the analysis model module in real time through the architecture docking module for update. The model update process does not require human participation, shortens the upgrade cycle, and ensures the system's own preventive maintenance and rapid response. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system flow chart of the present invention;

[0016] Figure 2 This is a schematic diagram of the architecture of the enterprise management module in the present invention;

[0017] Figure 3 It is a schematic diagram of the architecture of the docking processing module in the present invention;

[0018] Figure 4 It is a schematic diagram of the architecture of the data processing module in the present invention;

[0019] Figure 5 Schematic diagram of the architecture of the model iteration module in the present invention;

[0020] In the figure: 1. Enterprise management module; 2. Docking processing module; 3. Central processing module; 4. Data processing module; 5. Analysis model module; 6. Architecture docking module; 7. Back-end coding module; 8. Model update module; 9. Big data docking module; 10. Operation supervision module; 11. Code tracing module; 12. Abnormal feedback module; 101. Equipment management module; 102. Logistics management module; 103. Inventory management module; 104. Supplier management module; 105. Fund management module; 106. Feedback transmission module; 201. Protocol detection Module; 202, conversion call module; 203, identification pre-inspection module; 204, data output module; 205, pre-stored conversion module; 401, data receiving module; 402, cleaning processing module; 403, fusion and deletion module; 404, processing output module; 405, behavior detection module; 406, anomaly screening module; 407, data tracing module; 801, basic model module; 802, feature parameter module; 803, weighting module; 804, parameter adjustment module; 805, big data comparison module; 806, adaptation model module. DETAILED DESCRIPTION

[0021] 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.

[0022] Please refer to the attached Figure 1 -Attached Figure 5, an embodiment provided by the present invention: a smart logistics service guarantee platform and its construction system, including an enterprise management module 1, a docking processing module 2, a data processing module 4, a back-end coding module 7, a model update module 8, a big data docking module 9, an operation supervision module 10, a code traceability module 11 and an abnormal feedback module 12, the enterprise management module 1 controls the connection to the docking processing module 2, the docking processing module 2 controls the connection to the central processing module 3, the central processing module 3 controls the connection to the data processing module 4, the data processing module 4 controls the connection to the analysis model module 5, the enterprise management module 1, the docking processing module 2, the central processing module 3, the data processing module 4 and the analysis model module 5 all control the connection to the architecture docking module 6, and the architecture docking module 6 respectively controls The system is connected to the back-end coding module 7, the model update module 8 and the operation supervision module 10, and the model update module 8 controls the connection to the big data docking module 9; the operation supervision module 10 controls the connection to the code traceability module 11, the code traceability module 11 controls the connection to the abnormal feedback module 12, and the abnormal feedback module 12 controls the connection to the back-end coding module 7; the enterprise management module 1 is composed of the equipment management module 101, the logistics management module 102, the inventory management module 103, the supplier management module 104, the capital management module 105 and the feedback transmission module 106, and the equipment management module 101, the logistics management module 102, the inventory management module 103, the supplier management module 104 and the capital management module 105 all control the connection to the feedback transmission module 106; the docking The processing module 2 is composed of a protocol detection module 201, a conversion calling module 202, an identification pre-check module 203, a data output module 204 and a pre-stored conversion module 205. The protocol detection module 201 controls the connection conversion calling module 202; the pre-stored conversion module 205 controls the connection conversion calling module 202, the conversion calling module 202 controls the connection identification pre-check module 203, and the identification pre-check module 203 controls the connection data output module 204; the data processing module 4 is composed of a data receiving module 401, a cleaning processing module 402, a fusion and deletion module 403, a processing output module 404, a behavior detection module 405, an anomaly screening module 406 and a data tracing module 407. The data receiving module 401 controls the connection cleaning processing module 402; the cleaning processing module 402 controls the connection fusion deletion module 403, and the fusion deletion module 403 controls the connection processing output module 404; the cleaning processing module 402 and the fusion deletion module 403 both control the connection behavior detection module 405, and the behavior detection module 405 controls the connection anomaly screening module 406, and the anomaly screening module 406 controls the connection data tracing module 407; the model replacement module 8 is composed of a basic model module 801, a feature parameter module 802, a weighting module 803, a parameter adjustment module 804, a big data comparison module 805 and an adaptation model module 806, the basic model module 801 controls the connection parameter adjustment module 804, and the parameter adjustment module 804 controls the connection adaptation model module 806;The basic model module 801 controls the connection to the feature parameter module 802, the feature parameter module 802 controls the connection to the weight weighing module 803, the weight weighing module 803 controls the connection to the parameter adjustment module 804, and the parameter adjustment module 804 controls the connection to the big data comparison module 805, and the big data comparison module 805 is used to connect to the big data docking module 9 to provide a training data set for the module. ;

[0023] Working principle: When in use, the enterprise management module 1, the data processing module 4 and the analysis model module 5 constitute the main structure of the logistics service guarantee platform, and the back-end coding module 7, the model update module 8 and the operation supervision module 10 constitute the construction and control structure of the platform. During operation, the equipment management module 101, the logistics management module 102, the inventory management module 103, the supplier management module 104 and the capital management module 105 respectively transmit the enterprise equipment data, logistics data, inventory data, supplier data and preset capital data to the feedback transmission module 106, and synchronously feed back to the docking processing module 2. After the protocol detection module 201 detects the data protocol, the conversion code in the pre-stored conversion module 205 is called through the conversion call module 202, and then the format conversion is performed in the conversion call module 202. After the conversion is completed, the conversion detection is performed through the identification pre-inspection module 203. After the detection, the data is sent to the central processing module 3 through the data output module 204. There is no need to carry an additional conversion system for different transmission protocols, thereby reducing the research and development cost of the system and improving the practicality of the system; the data received in the central processing module 3 After the data is sent to the data processing module 4, it is received by the data receiving module 401, and then the data is cleaned and deleted and merged by the cleaning processing module 402 and the fusion and deletion module 403 respectively. By eliminating invalid data, the amount of data circulating in the platform is reduced. Then, the data is sent to the analysis model module 5 through the processing output module 404 for model analysis. Combined with the analysis of logistics data, inventory data, and equipment maintenance data, it assists the background to discover service problems, facilitates optimization and adjustment in the later stage, improves operational efficiency and reduces management costs; the model replacement module 8 is connected to the big data docking module 9 to provide cloud data for model replacement. During the process, the feature parameter module 802 analyzes the model feature parameters in the basic model module 801, and then the weight weighing module 803 analyzes the occupancy weight of the parameters. Then, the parameter adjustment module 804 adjusts the parameters in combination with the comparison results of the big data comparison module 805. Finally, a new model is generated by the adaptation model module 806, and sent to the analysis model module 5 in real time through the architecture docking module 6 for update. The model update process does not require human participation, shortens the upgrade cycle, and ensures the system's own preventive maintenance and rapid response.

[0024] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A smart logistics service guarantee platform and its construction system, comprising an enterprise management module (1), a docking processing module (2), a data processing module (4), a back-end coding module (7), a model update module (8), a big data docking module (9), an operation supervision module (10), a code tracing module (11) and an abnormal feedback module (12), characterized in that: The enterprise management module (1) controls the connection to the docking processing module (2), the docking processing module (2) controls the connection to the central processing module (3), the central processing module (3) controls the connection to the data processing module (4), the data processing module (4) controls the connection to the analysis model module (5), the enterprise management module (1), the docking processing module (2), the central processing module (3), the data processing module (4) and the analysis model module (5) all control the connection to the architecture docking module (6), the architecture docking module (6) respectively controls the connection to the back-end coding module (7), the model update module (8) and the operation supervision module (10), and the model update module (8) controls the connection to the big data docking module (9).

2. According to claim 1, a smart logistics service guarantee platform and its construction system are characterized by: The operation supervision module (10) controls the connection to the code tracing module (11), the code tracing module (11) controls the connection to the abnormality feedback module (12), and the abnormality feedback module (12) controls the connection to the back-end encoding module (7).

3. According to claim 1, a smart logistics service guarantee platform and its construction system are characterized by: The enterprise management module (1) is composed of an equipment management module (101), a logistics management module (102), an inventory management module (103), a supplier management module (104), a capital management module (105) and a feedback transmission module (106); the equipment management module (101), the logistics management module (102), the inventory management module (103), the supplier management module (104) and the capital management module (105) are all controlled to connect to the feedback transmission module (106).

4. According to claim 1, a smart logistics service guarantee platform and its construction system are characterized by: The docking processing module (2) is composed of a protocol detection module (201), a conversion calling module (202), an identification pre-check module (203), a data output module (204) and a pre-stored conversion module (205), and the protocol detection module (201) controls the connection conversion calling module (202).

5. According to claim 4, a smart logistics service guarantee platform and its construction system are characterized by: The pre-stored conversion module (205) controls the connection conversion calling module (202), the conversion calling module (202) controls the connection identification pre-checking module (203), and the identification pre-checking module (203) controls the connection data output module (204).

6. According to claim 1, a smart logistics service guarantee platform and its construction system are characterized by: The data processing module (4) is composed of a data receiving module (401), a cleaning processing module (402), a fusion and deletion module (403), a processing output module (404), a behavior detection module (405), an anomaly screening module (406) and a data tracing module (407), and the data receiving module (401) controls the connection with the cleaning processing module (402).

7. The intelligent logistics service guarantee platform and its construction system according to claim 6, characterized in that: The cleaning processing module (402) controls the connection fusion and deletion module (403), and the fusion and deletion module (403) controls the connection processing output module (404).

8. According to claim 6, a smart logistics service guarantee platform and its construction system are characterized by: The cleaning processing module (402) and the fusion deletion module (403) both control the connection behavior detection module (405), and the behavior detection module (405) controls the connection anomaly screening module (406), and the anomaly screening module (406) controls the connection data tracing module (407).

9. The intelligent logistics service guarantee platform and its construction system according to claim 1, characterized in that: The model replacement module (8) is composed of a basic model module (801), a characteristic parameter module (802), a weighting module (803), a parameter adjustment module (804), a big data comparison module (805) and an adaptation model module (806). The basic model module (801) controls the connection parameter adjustment module (804), and the parameter adjustment module (804) controls the connection adaptation model module (806).

10. The intelligent logistics service guarantee platform and its construction system according to claim 9, characterized in that: The basic model module (801) controls the connection feature parameter module (802), the feature parameter module (802) controls the connection weight trade-off module (803), the weight trade-off module (803) controls the connection parameter adjustment module (804), and the parameter adjustment module (804) controls the connection big data comparison module (805).

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