User behavior analysis device, method and equipment based on charging user knowledge graph

Abstract

The invention provides a user behavior analysis device, method and equipment based on a charging user knowledge graph, and relates to the technical field of data processing.The analysis device comprises a pile body and a platform, a reset mechanism is carried in the pile body, a fence mechanism is inserted into the outer side of the pile body in a penetrating mode, and a lifting sliding groove is formed in the surface of the pile body; a sliding groove is formed in the middle of the pile body, a sliding block is integrally formed in the middle of the fence mechanism, the sliding block penetrates through the interior of the sliding groove, a storage bin is in threaded connection with the portion, at the bottom of the sliding groove, of the surface of the pile body, a fixing plate is welded to the top end of the reset mechanism, and a power transmission cable is inserted into the surface of the fixing plate. For example, the time-space coupling between the charging preference of the user and the visitor flow of the peripheral business district can meet the high real-time requirement. Reset processing of the power transmission cable can be completed through the structure, and the state data can be collected. And the respective utilization rates of the pile body and the platform can be judged by combining the power transmission data of the pile body.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and specifically to a user behavior analysis device, method, and equipment based on a charging and swapping user knowledge graph. Background Technique

[0002] By establishing a charging and swapping user knowledge graph and relying on this graph for user behavior analysis, it is possible to integrate multi-source data such as user charging records, vehicle attributes, and spatio-temporal characteristics, construct a knowledge graph network centered on users, and reveal user behavior patterns (such as charging preferences, path rules) and associated factors (such as price sensitivity, equipment compatibility). Combining graph computing and AI algorithms can achieve accurate demand prediction, abnormal behavior warning, and optimization of operation strategies, ultimately enhancing the user experience and the efficiency of the energy network.

[0003] In the existing user behavior analysis solutions based on the charging and swapping user knowledge graph, user portraits usually rely on a single dimension, making it difficult to associate external factors such as vehicle parameters and geographical locations. When the initial data accumulation is insufficient, there will also be problems with insufficient initial data accumulation. On the other hand, during the process of collecting raw data, a large number of charging pile devices are required. In the raw data required for constructing a conventional user knowledge graph, it is impossible to directly obtain the data on the reset situation of the charging gun after the user charges. At the same time, for different models of cars, only the built-in battery management system can be used to monitor the battery temperature during charging, and it is impossible to obtain the actual temperature data of the car charging state in the external area. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a user behavior analysis device, method, and equipment based on a charging and swapping user knowledge graph to solve the problems proposed in the above background technology. The present invention can identify associations ignored by traditional solutions through graph computing, such as the spatio-temporal coupling between user charging preferences and the pedestrian flow in surrounding business districts, and can meet the requirements of high real-time performance. It can complete the reset processing of the power transmission cable through this structure, provide shielding protection, and collect the status data. It can obtain whether there is a vehicle parked on the surface of the current platform, and combined with the power transmission data of the pile body, the utilization rates of the pile body and the platform can be judged.

[0005] In order to achieve the above-mentioned purpose, the present invention is implemented through the following technical scheme: a user behavior analysis device based on a knowledge graph of charging and swapping users, comprising an analysis device body, the analysis device body comprising a pile body and a platform, the pile body is equipped with a reset mechanism, the outer side of the pile body is interspersed with a fence mechanism, the surface of the pile body is provided with a lifting slide groove, the middle of the fence mechanism is integrally formed with a slider, the slider passes through the inside of the slide groove, the pile body surface at the bottom of the slide groove is screwed with a storage bin, the top of the reset mechanism is welded with a fixing plate, the surface of the fixing plate is inserted with a transmission cable, the transmission cable passes through the middle of the reset mechanism, the end of the transmission cable is connected to a charging gun, the storage bin is used to hide and support the charging gun, the surface of the platform is provided with a first pressing groove and a second pressing groove, the platform is embedded in the ground as a whole, and the surface of the platform is flush with the ground, a temperature monitoring unit is installed inside the platform, and the bottom of the pile body is screwed to the surface of the platform.

[0006] Furthermore, the reset mechanism includes a top plate, a power compartment and a column, a lifting groove is opened on the surface of the column, the top end of the column is welded to the bottom surface of the top plate, the side of the top plate is integrated with the fixed plate, and a top reversing column is installed at the bottom of the top plate.

[0007] Furthermore, hanging brackets are welded at both ends of the top reversing column, the top of the hanging brackets is welded to the side of the top plate, the number of the columns is four, a motor is screwed inside the power compartment, a screw rod is inserted into the output end of the motor, and the top end of the screw rod is embedded in the bottom of the top reversing column through a bearing.

[0008] Furthermore, the enclosure mechanism includes a lifting frame and an enclosure plate, a movable reversing column is inserted into the inner side of the lifting frame, both ends of each movable reversing column are embedded in the interior of the lifting slot, one end of the lifting frame is integrally formed with an end plate, and the middle of the lifting frame is integrally formed with a linkage plate.

[0009] Furthermore, a threaded sleeve is provided in the middle of the linkage plate, the screw rod passes through the inside of the threaded sleeve, the transmission cable is respectively bypassed from the bottom of each movable reversing column, and the transmission cable is bypassed from the top of the top reversing column, the enclosure is integrally formed at the end of the slider, and a pressing plate is screwed at the bottom end of the enclosure, and the pressing plate is used to be embedded in the interior of the storage bin.

[0010] Furthermore, the temperature monitoring unit includes a pressure plate, a rotating ring and a temperature measuring probe. A support shaft is inserted into the interior of the platform, a rotating ring is sleeved on the surface of the support shaft, a resistance arm and a power arm are respectively integrated on both sides of the rotating ring, a temperature measuring probe is screwed at the end of the resistance arm, and a rotating shaft is inserted at one end of the pressure plate.

[0011] Further, the bearing plate is movably connected to the edge of the first pressing groove through a rotating shaft. A second spring is welded to the bottom of the bearing plate, and a pressing rod is welded to the bottom of the rear end of the bearing plate. The bottom of the pressing rod is used to press on the power arm. A first spring is welded to the bottom of the power arm. The bottoms of the first spring and the second spring are both welded to the bottom end of the platform. The end of the resistance arm and the temperature measuring probe both penetrate outwards from the inside of the second pressing groove.

[0012] A user behavior analysis method based on a charging and swapping user knowledge graph includes the following steps:

[0013] S1. Build multiple groups of analysis devices, collect raw data, and filter out abnormal records from the data;

[0014] S2. Perform knowledge graph modeling, draw a user behavior relationship network, and define core entities;

[0015] S3. Build a computable database to construct and store the graph;

[0016] S4. Decode user behaviors and extract behavior characteristics;

[0017] S5. Perform reasoning based on the constructed user knowledge graph, conduct practical applications, and establish an abnormal warning mechanism;

[0018] S6. Perform visualization processing, establish a heat map and a relationship diffusion map, and add an iterative mechanism.

[0019] Further, the raw data in S1 includes user charging / swapping records, device usage data, user attributes, and environmental data, and the time formats of the raw data are unified. The defined scope of the core entities includes users, charging stations, swapping stations, vehicle types, and spatio-temporal nodes; in S6, the battery technical parameter library is updated quarterly, and when the proportion of new high-voltage platform vehicles exceeds 20%, the charging compatibility relationship reconstruction is automatically triggered.

[0020] A user behavior analysis device based on a charging and swapping user knowledge graph. The analysis device includes a hardware infrastructure and a knowledge graph management platform. The hardware infrastructure includes charging and swapping terminal devices, environmental sensors, an edge computing gateway, and a communication base station. The environmental sensors include temperature and humidity sensors and cameras deployed in charging and swapping stations. The edge computing gateway processes high-timeliness data locally to reduce the load on the cloud. The knowledge graph management platform is equipped with a graph database and a graph computing framework.

[0021] Advantages of the present invention:

[0022] 1. The present invention can perform multi-source heterogeneous data fusion. By integrating cross-domain data such as user behavior, device status, environmental factors, and social attributes, a dynamic relationship network is constructed. Through graph computing, associations ignored by traditional solutions are identified. For example, the spatio-temporal coupling between user charging preferences and the pedestrian flow in the surrounding business districts can meet the requirements of high real-time performance.

[0023] 2. The user behavior analysis device based on the charging and swapping user knowledge graph drives the power transmission cable to be bent and stored through the enclosure mechanism and the reset mechanism. Therefore, even if the user forgets to plug back the power transmission cable after use, the reset process of the power transmission cable can still be completed through this structure, providing shielding protection and collecting the status data.

[0024] 3. The user behavior analysis device based on the charging and swapping user knowledge graph collects the chassis temperature data of the vehicle being charged through the platform at the bottom. At the same time, it can also obtain whether a vehicle is parked on the current platform surface. Combining the power transmission data of the pile body, the utilization rates of the pile body and the platform can be judged. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic structural diagram of the external shape of the user behavior analysis device based on the charging and swapping user knowledge graph of the present invention;

[0026] Figure 2 is a schematic connection diagram of the power transmission cable of the present invention;

[0027] Figure 3 is a top split view of the reset mechanism of the present invention;

[0028] Figure 4 is a schematic structural diagram of a part of the enclosure mechanism of the present invention;

[0029] Figure 5 is Figure 1 an enlarged view of area A in

[0030] Figure 6 is an enlarged view of the edge of the platform of the present invention;

[0031] Figure 7 is a side view of the temperature monitoring unit of the present invention;

[0032] Figure 8 is a flowchart of the user behavior analysis method based on the charging and swapping user knowledge graph of the present invention;

[0033] In the figure: 1, pile body; 2, platform; 3, enclosure mechanism; 4, temperature monitoring unit; 5, reset mechanism; 6, power bin; 7, lead screw; 8, fixed plate; 9, top plate; 10, lifting bracket; 11, top reversing column; 12, power transmission cable; 13, column; 14, lifting groove; 15, lifting frame; 16, movable reversing column; 17, linkage plate; 18, threaded sleeve; 19, end plate; 20, slider; 21, enclosure board; 22, pressing plate; 23, chute; 24, through hole; 25, storage bin; 26, insertion chamber; 27, first pressing groove; 28, bearing plate; 29, second pressing groove; 30, temperature measuring probe; 31, resistance arm; 32, support shaft; 33, rotating collar; 34, power arm; 35, first spring; 36, rotating shaft; 37, second spring; 38, pressure bar. Detailed implementation manners

[0034] To make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific implementation manners.

[0035] Please refer to Figures 1 to 8 , the present invention provides the following technical solutions: A user behavior analysis device based on a charging and swapping user knowledge graph, including an analysis device body. The analysis device body includes a pile body 1 and a platform 2. A reset mechanism 5 is installed inside the pile body 1. An enclosure mechanism 3 is inserted outside the pile body 1. A lifting chute 23 is provided on the surface of the pile body 1. A slider 20 is integrally formed in the middle of the enclosure mechanism 3. The slider 20 passes through the inside of the chute 23. A storage bin 25 is screwed on the surface of the pile body 1 at the bottom of the chute 23. The top of the reset mechanism 5 is welded with a fixed plate 8. A power transmission cable 12 is inserted on the surface of the fixed plate 8. The power transmission cable 12 bypasses through the middle of the reset mechanism 5. The end of the power transmission cable 12 is connected with a charging gun. The storage bin 25 is used for hiding and supporting the charging gun. The surface of the platform 2 is provided with a first pressing groove 27 and a second pressing groove 29. The platform 2 is integrally embedded under the ground, and the surface of the platform 2 is flush with the ground. A temperature monitoring unit 4 is installed inside the platform 2. The bottom of the pile body 1 is screwed on the surface of the platform 2.

[0036] When the present invention is in use, the use status and the data of the active reset status of the charging cable are monitored through the erected pile body 1. At the same time, the status of the vehicle parked on the platform 2 and the external temperature data of the chassis during the charging process are also collected. When the device is installed, the platform 2 part at the bottom is directly embedded into the ground. When in use, the vehicle directly drives onto the surface of the platform 2. After pulling out the charging gun, it can be docked with the vehicle. After use, if the user does not manually reset the charging gun, the reset mechanism 5 cooperates with the enclosure mechanism 3 to realize the reset process of the power transmission cable 12. At the same time, the temperature detection of the vehicle is automatically triggered by the temperature monitoring unit 4 at the bottom.

[0037] In this embodiment, the reset mechanism 5 includes a top plate 9, a power bin 6 and a column 13. A lifting groove 14 is formed on the surface of the column 13. The top of the column 13 is welded to the bottom surface of the top plate 9. The side of the top plate 9 is integrally formed with a fixing plate 8. A top reversing column 11 is installed at the bottom of the top plate 9. Both ends of the top reversing column 11 are welded with a lifting bracket 10. The top of the lifting bracket 10 is welded to the side of the top plate 9. The number of the columns 13 is four. A motor is screwed inside the power bin 6. The output end of the motor is inserted with a lead screw 7. The top of the lead screw 7 is embedded into the bottom of the top reversing column 11 through a bearing.

[0038] Specifically, after starting the motor, it will directly drive the enclosure mechanism 3 to move up and down. The power transmission cable 12 part is wound through the enclosure mechanism 3 and the top reversing column 11. Therefore, when the enclosure mechanism 3 moves down, the bent power transmission cable 12 can be automatically pulled, extending the bending distance, so as to pull the part of the power transmission cable 12 exposed outside back into the pile body 1 for storage. At the same time, the charging gun part at the end of the power transmission cable 12 can also be moved into the storage groove.

[0039] In this embodiment, the enclosure mechanism 3 includes a lifting frame 15 and a fence panel 21. An active reversing column 16 is inserted inside the lifting frame 15. Both ends of each active reversing column 16 are embedded inside the lifting groove 14. One end of the lifting frame 15 is integrally formed with an end plate 19, and a linkage plate 17 is integrally formed in the middle of the lifting frame 15. A threaded sleeve 18 is provided in the middle of the linkage plate 17. The lead screw 7 passes through the inside of the threaded sleeve 18. The power cable 12 bypasses the bottom of each active reversing column 16 respectively, and the power cable 12 bypasses the top of the top reversing column 11. The fence panel 21 is integrally formed at the end of the slider 20. A pressing plate 22 is screwed to the bottom end of the fence panel 21. The pressing plate 22 is used to be embedded inside the storage bin 25. Through the enclosure mechanism 3 and the reset mechanism 5, the power cable 12 is driven to be bent and stored. Therefore, even if the user forgets to plug back the power cable 12 after use, the reset process of the power cable 12 can still be completed through this structure, and shielding protection is provided, as well as the collection of the status data.

[0040] Specifically, after starting the motor inside the power bin 6, through the cooperation of the lead screw 7 and the threaded sleeve, the entire lifting frame 15 can be pulled down. During this process, the power cable 12 can be bent and moved into the pile body 1. At the same time, by means of the slider 20 moving up and down inside the chute 23, the outer fence panel 21 can be driven to move up and down synchronously until the charging gun is moved into the storage bin 25. Then, the fence panel 21 can be embedded into the opening of the storage groove through the pressing plate 22 at the bottom, realizing the enclosure effect on the entire storage bin 25.

[0041] In this embodiment, the temperature monitoring unit 4 includes a bearing plate 28, a rotating collar 33 and a temperature measuring probe 30. A support shaft 32 is inserted inside the platform 2. A rotating collar 33 is sleeved on the surface of the support shaft 32. Two sides of the rotating collar 33 are respectively integrally formed with a resistance arm 31 and a power arm 34. A temperature measuring probe 30 is screwed to the end of the resistance arm 31. A rotating shaft 36 is inserted into one end of the bearing plate 28. The bearing plate 28 is movably connected to the edge of the first pressing groove 27 through the rotating shaft 36. A second spring 37 is welded to the bottom of the bearing plate 28. A pressing rod 38 is welded to the bottom end of the back of the bearing plate 28. The bottom of the pressing rod 38 is used to press on the power arm 34. A first spring 35 is welded to the bottom of the power arm 34. The bottoms of the first spring 35 and the second spring 37 are both welded to the bottom end of the platform 2. The end of the resistance arm 31 and the temperature measuring probe 30 both pass outwards from the inside of the second pressing groove 29. The bottom platform 2 is used to collect the chassis temperature data of the vehicle being charged. At the same time, it can also obtain whether a vehicle is parked on the surface of the current platform 2. Combining with the power transmission data of the pile body 1, the utilization rates of the pile body 1 and the platform 2 can be judged respectively.

[0042] Specifically, after the vehicle moves to the surface of Platform 2, it will directly press on the bearing plate 28. With the downward pressure of the bearing plate 28, the pressure rod 38 at the end can be used to lean against the top of the power arm 34. At this time, the power arm 34 drives the rotating collar 33 to rotate around the support shaft 32. The resistance arm 31 on the other side tilts towards the top, the first spring 35 is compressed, and the second spring 37 at the bottom of the bearing plate 28 is also compressed synchronously until the temperature measurement probe 30 at the end of the resistance arm 31 tilts outwards, achieving the purpose of detecting the temperature of the outer surface of the vehicle chassis and collecting the information that the current vehicle has parked on Platform 2. Until the vehicle moves out, with the support of the first spring 35 and the second spring 37, the bearing plate 28 and the resistance arm 31 can be reset, and the temperature measurement probe 30 is re-embedded into the second pressing groove 29, achieving a partial protection effect on the temperature measurement probe 30.

[0043] This embodiment also provides a user behavior analysis method based on a charging and battery swapping user knowledge graph, including the following steps:

[0044] S1. Set up multiple groups of analysis devices, collect raw data, and filter out abnormal records from the data. The raw data includes user charging / battery swapping records, device usage data, user attributes, and environmental data, and unify the time format of the raw data. The defined range of the core entities includes users, charging stations, battery swapping stations, vehicle types, and spatio-temporal nodes;

[0045] S2. Conduct knowledge graph modeling, draw a user behavior relationship network, and define core entities;

[0046] S3. Set up a computable database to construct and store the graph;

[0047] S4. Decode user behaviors and extract behavior characteristics;

[0048] S5. Reason based on the constructed user knowledge graph, conduct practical applications, and establish an abnormal warning mechanism;

[0049] S6. Conduct visualization processing, establish a heat map and a relationship diffusion map, add an iterative mechanism, update the battery technical parameter library every quarter, and automatically trigger the reconstruction of the charging compatibility relationship when the proportion of new high-voltage platform 2 vehicles exceeds 20%.

[0050] In this method, multi-source heterogeneous data fusion is carried out. By integrating cross-domain data such as user behaviors, device states, environmental factors, and social attributes, a dynamic relationship network is constructed, and the associations ignored by traditional solutions are identified through graph computing. For example, the spatio-temporal coupling between user charging preferences and the pedestrian flow in the surrounding business districts can meet the requirements of high real-time performance.

[0051] This embodiment also provides a user behavior analysis device based on a charging and swapping user knowledge graph. The analysis device includes a hardware infrastructure and a knowledge graph management platform 2. The hardware infrastructure includes charging and swapping terminal devices, environmental sensors, an edge computing gateway, and a communication base station. The environmental sensors include temperature and humidity sensors and cameras deployed at charging and swapping stations. The edge computing gateway processes high-timeliness data locally to reduce the cloud load. The knowledge graph management platform 2 is equipped with a graph database and a graph computing framework.

[0052] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0053] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only includes an independent technical solution. This narrative manner of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. The user behavior analysis device based on the knowledge graph of charging and swapping users, including the analysis device body, is characterized in that: The main body of the analysis device comprises a pile body (1) and a platform (2); a reset mechanism (5) is mounted inside the pile body (1); a retaining mechanism (3) is inserted into the outside of the pile body (1); a lifting slot (23) is provided on the surface of the pile body (1); a slider (20) is integrally formed in the middle of the retaining mechanism (3); the slider (20) passes through the inside of the slot (23); a storage bin (25) is screwed on the surface of the pile body (1) at the bottom of the slot (23); a fixing plate (8) is welded to the top of the reset mechanism (5); and the fixing plate (8) is ) is inserted into the surface of the platform (2), the transmission cable (12) is passed through the middle of the reset mechanism (5), the end of the transmission cable (12) is connected to a charging gun, the storage bin (25) is used to provide hidden support for the charging gun, a first pressing groove (27) and a second pressing groove (29) are provided on the surface of the platform (2), the platform (2) is integrally embedded under the ground, and the surface of the platform (2) is flush with the ground, a temperature monitoring unit (4) is installed inside the platform (2), and the bottom of the pile body (1) is screwed to the surface of the platform (2).

2. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 1, wherein: The reset mechanism (5) comprises a top plate (9), a power compartment (6) and a column (13); a lifting groove (14) is provided on the surface of the column (13); the top end of the column (13) is welded to the bottom surface of the top plate (9); the side of the top plate (9) is integrally formed with the fixing plate (8); and a top reversing column (11) is installed at the bottom of the top plate (9).

3. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 2, wherein: The two ends of the top reversing column (11) are welded with hanging brackets (10), the top of the hanging bracket (10) is welded to the side of the top plate (9), the number of the columns (13) is four, the inside of the power compartment (6) is screwed with a motor, the output end of the motor is inserted with a screw rod (7), and the top end of the screw rod (7) is embedded in the bottom of the top reversing column (11) through a bearing.

4. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 3, wherein: The enclosure mechanism (3) comprises a lifting frame (15) and an enclosure plate (21); a movable reversing column (16) is inserted into the inner side of the lifting frame (15); both ends of each movable reversing column (16) are embedded in the interior of the lifting groove (14); an end plate (19) is integrally formed at one end of the lifting frame (15), and a linkage plate (17) is integrally formed in the middle of the lifting frame (15).

5. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 4, characterized in that: A threaded sleeve (18) is provided in the middle of the linkage plate (17), the screw rod (7) passes through the inside of the threaded sleeve (18), the power transmission cable (12) is respectively bypassed from the bottom of each movable reversing column (16), and the power transmission cable (12) is bypassed from the top of the top reversing column (11), the enclosure (21) is integrally formed at the end of the slider (20), and a pressing plate (22) is screwed to the bottom end of the enclosure (21), and the pressing plate (22) is used to be embedded in the interior of the storage bin (25).

6. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 2, characterized in that: The temperature monitoring unit (4) includes a bearing plate (28), a rotating collar (33), and a temperature measuring probe (30). A support shaft (32) is inserted into the interior of the platform (2). A rotating collar (33) is sleeved on the surface of the support shaft (32). Resistance arms (31) and power arms (34) are integrally formed on both sides of the rotating collar (33). The temperature measuring probe (30) is screwed to the end of the resistance arm (31). A rotating shaft (36) is inserted into one end of the bearing plate (28).

7. The user behavior analysis device based on the charging and swapping user knowledge graph according to claim 6, wherein: The bearing plate (28) is movably connected to the edge of the first pressing groove (27) through the rotating shaft (36). A second spring (37) is welded to the bottom of the bearing plate (28). A pressing rod (38) is welded to the bottom rear end of the bearing plate (28). The bottom of the pressing rod (38) is used to press on the power arm (34). A first spring (35) is welded to the bottom of the power arm (34). The bottoms of the first spring (35) and the second spring (37) are both welded to the bottom end of the platform (2). The end of the resistance arm (31) and the temperature measuring probe (30) both pass outwards from the interior of the second pressing groove (29).

8. A user behavior analysis method based on a knowledge graph of charging and swapping users, characterized in that, It includes the following steps: S1. Build multiple groups of analysis devices, collect raw data, and filter abnormal records from the data; S2. Conduct knowledge graph modeling, draw the user behavior relationship network, and define the core entities; S3. Build a computable database, and construct and store the graph; S4. Decode user behavior and extract behavior characteristics; S5. Reason based on the constructed user knowledge graph, conduct practical applications, and establish an abnormal warning mechanism; S6. Perform visualization processing, establish a heat map and a relationship diffusion map, and add an iterative mechanism.

9. The analysis method according to claim 8, wherein: The raw data in S1 includes user charging / recharging records, equipment usage data, user attributes, and environmental data, and the time formats of the raw data are unified. The defined scope of the core entities includes users, charging stations, recharging stations, vehicle types, and spatio-temporal nodes; In S6, the battery technical parameter library is updated quarterly. When the proportion of new high-voltage platform vehicles exceeds 20%, the charging compatibility relationship reconstruction is automatically triggered.

10. A user behavior analysis device based on a knowledge graph of charging and swapping users, characterized in that: The analysis device includes hardware infrastructure and a knowledge graph management platform. The hardware infrastructure includes charging and recharging terminal devices, environmental sensors, edge computing gateways, and communication base stations. The environmental sensors include temperature and humidity sensors and cameras deployed in charging and recharging stations. The edge computing gateway processes high-timeliness data locally to reduce the load on the cloud. The knowledge graph management platform is equipped with a graph database and a graph computing framework.

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