Data analysis system based on sanitation vehicle information

Abstract

The invention relates to the technical field of sanitation vehicle management, in particular to a data analysis system based on sanitation vehicle information. Comprising a multi-sensor integrated acquisition unit, a data acquisition controller, a server, an encryption transmission unit, a signal detection module, a vehicle-mounted data recording module, a preprocessing unit, an operation performance analysis module, a resource optimization configuration module and a man-machine interaction module, the server is connected with the data acquisition controller, the signal detection module and the vehicle-mounted data recording module are both connected with the server, the preprocessing unit is connected with the server through the encryption transmission unit, and the man-machine interaction module is connected with the resource optimization configuration module. In this way, the technical problems of unbalanced operation scheduling, insufficient vehicle maintenance prediction and resource waste caused by lack of a comprehensive data analysis system based on sanitation vehicle information in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of sanitation vehicle management, and particularly to a data analysis system based on sanitation vehicle information. Background Art

[0002] In the modern urban sanitation management system, sanitation vehicles play a crucial role. They are responsible for multiple tasks such as urban street cleaning, garbage collection and transportation, and public facility cleaning. However, although sanitation vehicles play a core role in sanitation operations, their management level and information utilization degree still need to be improved. For example, in terms of operation scheduling, the lack of accurate data analysis leads to unbalanced vehicle allocation, with some areas being over-cleaned while some areas are under-cleaned; in vehicle maintenance, it mainly relies on regular inspections and after-fact repairs, making it difficult to predict faults in advance, resulting in high maintenance costs and long vehicle downtime; in the field of resource management, it is impossible to optimize the allocation of resources such as fuel and manpower according to the actual operating conditions of the vehicles, and resource waste is likely to occur.

[0003] In summary, the existing technology lacks a comprehensive data analysis system based on sanitation vehicle information, resulting in unbalanced operation scheduling and insufficient vehicle maintenance prediction. Summary of the Invention

[0004] The purpose of the present invention is to provide a data analysis system based on sanitation vehicle information, aiming to solve the technical problems in the existing technology, such as the lack of a comprehensive data analysis system based on sanitation vehicle information, resulting in unbalanced operation scheduling, insufficient vehicle maintenance prediction, and resource waste.

[0005] To achieve the above purpose, a data analysis system based on sanitation vehicle information adopted by the present invention includes a multi-sensor integrated acquisition unit, a data acquisition controller, a server, an encrypted transmission unit, a signal detection module, an on-vehicle data recording module, a preprocessing unit, an operation efficiency analysis module, a resource optimization configuration module, and a human-computer interaction module. The data acquisition controller is connected to the multi-sensor integrated acquisition unit, the server is connected to the data acquisition controller, both the signal detection module and the on-vehicle data recording module are connected to the server, the preprocessing unit is connected to the server through the encrypted transmission unit, the operation efficiency analysis module is connected to both the preprocessing unit and the resource optimization configuration module, and the human-computer interaction module is connected to the resource optimization configuration module;

[0006] The multi-sensor integrated acquisition unit is used to collect various data of the sanitation vehicle;

[0007] The data acquisition controller is used to summarize and transmit the data collected by the multi-sensor integrated acquisition unit to the server;

[0008] The signal detection module detects the network signal status of the vehicle. If the signal is poor, it transmits the data to the vehicle data recording module;

[0009] When the signal status is good, it transmits the data to the preprocessing unit through the encryption transmission unit;

[0010] The preprocessing unit is used to clean the data, removing noise data, outliers, and duplicate data;

[0011] The operation efficiency analysis module analyzes the data after preprocessing, evaluates the operation efficiency of the sanitation vehicle, and provides decision-making support for the resource optimization and allocation module;

[0012] The resource optimization and allocation module realizes the dynamic allocation of sanitation vehicle resources according to the results of the operation efficiency analysis module and predicts when the vehicle needs maintenance.

[0013] Among them, the multi-sensor integrated acquisition unit includes a pressure sensor (for monitoring pressure parameters such as the hydraulic system and tire pressure), a temperature sensor (detecting the temperature of components such as the engine and transmission), a flow sensor (measuring the flow of fluids such as fuel and hydraulic oil), a position sensor (obtaining the vehicle's geographical location through a GPS or Beidou positioning module), an acceleration sensor (analyzing the vehicle's driving state, such as starting, braking, and turning), and an image sensor (taking pictures of the vehicle's surrounding environment and operation scene to assist in identifying operation effects and potential safety hazards). The pressure sensor, the temperature sensor, the flow sensor, the position sensor, the acceleration sensor, and the image sensor are all connected to the data acquisition controller.

[0014] Among them, the encryption transmission unit includes an encryption module, a decryption module, a key management module, a key generation module, and a transmission module. The transmission module is arranged between the server and the preprocessing unit. The encryption module and the decryption module are respectively connected to the server and the preprocessing unit. The key management module is connected to both the encryption module and the decryption module. The key generation module is connected to the key management module.

[0015] Among them, the preprocessing unit includes a data cleaning module, a data filling module, and a data formatting module. The data cleaning module is connected to the transmission module. The data filling module is connected to both the data cleaning module and the data formatting module. The data formatting module is also connected to the operation efficiency analysis module;

[0016] The implementation method of the data cleaning module is as follows:

[0017] Noise data removal: Use data filtering algorithms (such as median filtering, Kalman filtering, etc.) to remove incorrect data points caused by sensor failures, electromagnetic interference, etc.;

[0018] Outlier detection and handling: Identify and handle outliers through statistical methods (such as the 3σ principle, box plot) or machine learning algorithms (such as isolation forest), and take the methods of deletion, correction, or marking as abnormal;

[0019] Duplicate data removal: Use hash algorithms or uniqueness constraints in the database to identify and delete duplicate data records;

[0020] The data formatting module can convert the processed data into a specific format for subsequent analysis.

[0021] Among them, the data analysis system based on the sanitation vehicle vehicle information further includes a vehicle health diagnosis module, and the vehicle health diagnosis module is connected to the server;

[0022] The vehicle health diagnosis module uses machine learning algorithms (such as support vector machines, neural networks, etc.) to construct a vehicle component fault prediction model, and predicts vehicle faults based on the collected vehicle information.

[0023] Among them, the data analysis system based on the sanitation vehicle vehicle information further includes a chart generation module, and the chart generation module is implanted in the human-computer interaction module.

[0024] Among them, the data analysis system based on the sanitation vehicle vehicle information further includes a maintenance module, and the maintenance module is also connected to the server.

[0025] When a data analysis system based on the sanitation vehicle vehicle information of the present invention is specifically used, various data of the sanitation vehicle are collected through the multi-sensor integration acquisition unit; the data acquisition controller aggregates and transmits the data collected by the multi-sensor integration acquisition unit to the server; the signal detection module detects the network signal status of the vehicle, and if it is not good, the data is transmitted to the vehicle-mounted data recording module; when the signal status is good, the data is transmitted to the preprocessing unit through the encryption transmission unit for data cleaning, removing noise data, outliers, and duplicate data, and at the same time converting the data into a specific format for subsequent analysis. The operation efficiency analysis module analyzes based on the preprocessed data, evaluates the operation efficiency of the sanitation vehicle, and provides decision support for the resource optimization configuration module; the resource optimization configuration module realizes the dynamic allocation of sanitation vehicle resources according to the results of the operation efficiency analysis module, and predicts when the vehicle needs maintenance, thereby solving the technical problems in the prior art that there is a lack of a comprehensive data analysis system based on the sanitation vehicle vehicle information, resulting in unbalanced operation scheduling, insufficient vehicle maintenance prediction, and resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0027] Figure 1 is the principle block diagram of the first embodiment of the present invention.

[0028] Figure 2 is the principle block diagram of the second embodiment of the present invention.

[0029] 101 - Multi - sensor integrated acquisition unit, 102 - Data acquisition controller, 103 - Server, 104 - Encrypted transmission unit, 105 - Signal detection module, 106 - Vehicle data recording module, 107 - Pre - processing unit, 108 - Operation efficiency analysis module, 109 - Resource optimization configuration module, 110 - Human - machine interaction module, 111 - Pressure sensor, 112 - Temperature sensor, 113 - Flow sensor, 114 - Position sensor, 115 - Acceleration sensor, 116 - Image sensor, 117 - Encryption module, 118 - Decryption module, 119 - Key management module, 120 - Key generation module, 121 - Transmission module, 122 - Data cleaning module, 123 - Data filling module, 124 - Data formatting module, 125 - Vehicle health diagnosis module, 126 - Chart generation module, 127 - Maintenance module, 201 - Intelligent decision - making assistance module, 202 - Acquisition module, 203 - Storage module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The following will describe in detail the embodiments of the present invention. The examples of the embodiments are shown in the drawings. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present invention, and should not be construed as a limitation to the present invention.

[0031] The first embodiment of the present application is as follows:

[0032] Please refer to Figure 1 , Figure 1 is the principle block diagram of the first embodiment of the present invention.

[0033] The present invention provides a data analysis system based on the vehicle information of a sanitation vehicle, which includes a multi-sensor integrated acquisition unit 101, a data acquisition controller 102, a server 103, an encryption transmission unit 104, a signal detection module 105, an on-vehicle data recording module 106, a preprocessing unit 107, an operation efficiency analysis module 108, a resource optimization configuration module 109, and a human-computer interaction module 110. The multi-sensor integrated acquisition unit 101 includes a pressure sensor 111, a temperature sensor 112, a flow sensor 113, a position sensor 114, an acceleration sensor 115, and an image sensor 116. The encryption transmission unit 104 includes an encryption module 117, a decryption module 118, a key management module 119, a key generation module 120, and a transmission module 121. The preprocessing unit 107 includes a data cleaning module 122, a data filling module 123, and a data formatting module 124, a vehicle health diagnosis module 125, a chart generation module 126, and a maintenance module 127. The foregoing solution solves the technical problems in the prior art that there is a lack of a comprehensive data analysis system based on the vehicle information of a sanitation vehicle, resulting in unbalanced operation scheduling, insufficient prediction of vehicle maintenance, and resource waste.

[0034] For this specific embodiment, the multi-sensor integrated acquisition unit 101 is used to collect various data of the sanitation vehicle;

[0035] The data acquisition controller 102 is used to summarize and transmit the data collected by the multi-sensor integrated acquisition unit 101 to the server 103;

[0036] The signal detection module 105 detects the network signal status of the vehicle. If it is not good, the data will be transmitted to the on-vehicle data recording module 106;

[0037] When the signal status is good, the data will be transmitted to the preprocessing unit 107 through the encryption transmission unit 104;

[0038] The preprocessing unit 107 is used to clean the data, removing noise data, outliers, and duplicate data;

[0039] The operation efficiency analysis module 108 analyzes based on the preprocessed data, evaluates the operation efficiency of the sanitation vehicle, and provides decision support for the resource optimization configuration module 109;

[0040] The resource optimization configuration module 109 realizes the dynamic allocation of the resources of the sanitation vehicle according to the result of the operation efficiency analysis module 108 and predicts when the vehicle needs maintenance.

[0041] Among them, the data acquisition controller 102 is connected to the multi-sensor integrated acquisition unit 101, the server 103 is connected to the data acquisition controller 102, the signal detection module 105 and the vehicle-mounted data recording module 106 are both connected to the server 103, the preprocessing unit 107 is connected to the server 103 through the encrypted transmission unit 104, the operation efficiency analysis module 108 is connected to both the preprocessing unit 107 and the resource optimization and allocation module 109, and the human-computer interaction module 110 is connected to the resource optimization and allocation module 109. During specific use, various data of the sanitation vehicle are collected by the multi-sensor integrated acquisition unit 101; the data acquisition controller 102 aggregates and transmits the data collected by the multi-sensor integrated acquisition unit 101 to the server 103; the signal detection module 105 detects the network signal status of the vehicle, and if it is not good, it transmits the data to the vehicle-mounted data recording module 106; when the signal status is good, the data is transmitted to the preprocessing unit 107 through the encrypted transmission unit 104 for data cleaning, removing noise data, outliers, and duplicate data, and at the same time converting the data into a specific format for subsequent analysis. The operation efficiency analysis module 108 analyzes based on the preprocessed data, evaluates the operation efficiency of the sanitation vehicle, and provides decision support for the resource optimization and allocation module 109; the resource optimization and allocation module 109 realizes the dynamic allocation of sanitation vehicle resources according to the results of the operation efficiency analysis module 108 and predicts when the vehicle needs maintenance. In this way, it solves the technical problems in the prior art that there is a lack of a comprehensive data analysis system based on the vehicle information of sanitation vehicles, resulting in unbalanced operation scheduling, insufficient vehicle maintenance prediction, and resource waste.

[0042] Secondly, the pressure sensor 111, the temperature sensor 112, the flow sensor 113, the position sensor 114, the acceleration sensor 115, and the image sensor 116 are all connected to the data acquisition controller 102. A variety of types of sensors are deployed at key parts of the sanitation vehicle, including but not limited to the pressure sensor 111 (used to monitor pressure parameters such as the hydraulic system and tire pressure), the temperature sensor 112 (detecting the temperatures of components such as the engine and transmission), the flow sensor 113 (measuring the flow rates of fluids such as fuel and hydraulic oil), the position sensor 114 (such as a GPS or Beidou positioning module to obtain the vehicle's geographical location), the acceleration sensor 115 (analyzing the vehicle's driving state, such as starting, braking, turning, etc.), and the image sensor 116 (taking pictures of the vehicle's surrounding environment and operation scenes to assist in identifying operation effects and potential safety hazards). These sensors are connected to the data acquisition controller 102 through the vehicle's internal bus to ensure real-time and accurate data transmission.

[0043] Meanwhile, the transmission module 121 is disposed between the server 103 and the preprocessing unit 107. The encryption module 117 and the decryption module 118 are respectively connected to the server 103 and the preprocessing unit 107. The key management module 119 is connected to both the encryption module 117 and the decryption module 118. The key generation module 120 is connected to the key management module 119;

[0044] The key management module 119 serves as the core of the encryption and decryption processes. The key management module 119 first requests the key generation module 120 to be responsible for key generation, and distributes the encryption key and the decryption key to the encryption module 117 and the decryption module 118 respectively. The encryption module 117 encrypts the data in the server 103 based on the encryption key to generate ciphertext, and transmits the ciphertext to the preprocessing module through the transmission module 121. The preprocessing module decrypts the ciphertext based on the decryption key in the decryption module 118 to obtain the original data for processing.

[0045] When data needs to be encrypted for transmission, the key management module 119 first sends a key generation request to the key generation module 120;

[0046] After receiving the request, the key generation module 120 generates a pair of encryption key and decryption key using complex algorithms; this pair of keys has a high degree of randomness and complexity and is difficult to crack. After generating the keys, the key management module 119 distributes the encryption key to the encryption module 117, and at the same time distributes the decryption key to the decryption module 118.

[0047] The encryption module 117 encrypts the data of the server 103 using the received encryption key to generate ciphertext. The encryption process ensures the security of the data during transmission. Even if the data is intercepted, the attacker cannot obtain the true content of the data.

[0048] The encrypted ciphertext is securely transmitted to the preprocessing module through the transmission module 121. The transmission module 121 adopts a secure communication protocol, such as SSL / TLS, to ensure the integrity and confidentiality of the data during transmission.

[0049] After receiving the ciphertext, the preprocessing module decrypts the ciphertext using the decryption key in the decryption module 118 to restore the original form of the data. The decrypted data can then be used for subsequent processing and analysis.

[0050] In addition, the data cleaning module 122 is connected to the transmission module 121. The data filling module 123 is connected to both the data cleaning module 122 and the data formatting module 124. The data formatting module 124 is further connected to the job performance analysis module 108;

[0051] The implementation manner of the data cleaning module 122 is as follows:

[0052] Noise data removal: Use data filtering algorithms (such as median filtering, Kalman filtering, etc.) to remove incorrect data points caused by sensor failures, electromagnetic interference, etc.;

[0053] Outlier detection and processing: Identify and process outliers through statistical methods (such as the 3σ principle, box plot) or machine learning algorithms (such as isolation forest), and take the methods of deletion, correction, or marking as abnormal;

[0054] Duplicate data removal: Use hash algorithms or the uniqueness constraints of the database to identify and delete duplicate data records;

[0055] The data formatting module 124 can convert the processed data into a specific format for subsequent analysis.

[0056] Moreover, the vehicle health diagnosis module 125 is connected to the server 103;

[0057] The vehicle health diagnosis module 125 uses machine learning algorithms (such as support vector machines, neural networks, etc.) to build a vehicle component fault prediction model, and predicts vehicle faults based on the collected vehicle information.

[0058] Again, the chart generation module 126 is implanted in the human-computer interaction module 110. The chart generation module 126 can display the data received by the human-computer interaction module 110 to the user in the form of charts.

[0059] Finally, the maintenance module 127 is also connected to the server 103. The maintenance module 127 is used to manage and maintain the server 103.

[0060] When using the data analysis system based on the vehicle information of the sanitation vehicle of the present embodiment, the multi-sensor integrated acquisition unit 101 is used to collect various data of the sanitation vehicle; the data acquisition controller 102 summarizes and transmits the data collected by the multi-sensor integrated acquisition unit 101 to the server 103; the signal detection module 105 detects the network signal status of the vehicle, and if it is not good, the data is transmitted to the vehicle-mounted data recording module 106; when the signal status is good, the data is transmitted to the pre-processing unit 107 through the encryption transmission unit 104 for data cleaning to remove noise data, Abnormal values ​​and duplicate data are detected, and the data is converted into a specific format for subsequent analysis. The operation efficiency analysis module 108 performs analysis based on the preprocessed data, evaluates the operation efficiency of the sanitation vehicle, and provides decision support for the resource optimization configuration module 109; the resource optimization configuration module 109 realizes dynamic allocation of sanitation vehicle resources according to the results of the operation efficiency analysis module 108, and predicts when the vehicle needs maintenance. In this way, the technical problems of the lack of a comprehensive data analysis system based on sanitation vehicle information in the prior art, which leads to unbalanced operation scheduling, insufficient vehicle maintenance prediction and waste of resources, are solved.

[0061] The present invention can realize real-time monitoring and accurate evaluation of the operating status of sanitation vehicles by comprehensively collecting real-time operating data of sanitation vehicles; the operation efficiency analysis module 108 accurately calculates the operating time, operating area and operating frequency of sanitation vehicles in various areas based on the collected location information and operation information. By comparing the operation data of different areas and different time periods, the operation balance is evaluated. If it is found that the operation frequency in some prosperous commercial areas is too high and the operation frequency in some remote industrial areas is too low, the operation plan can be adjusted accordingly, and the resource optimization configuration module 109 is used to optimize resource allocation, and the energy consumption during the operation process is analyzed in combination with the vehicle driving speed, acceleration data and operation operation information. For example, the energy consumption per unit area at different driving speeds during cleaning operations is calculated, and the operating speed range with the best energy consumption is found, and energy-saving driving suggestions are provided to the driver to reduce operating costs.

[0062] At the same time, according to the results of the operation efficiency analysis and the health status of the vehicles, the dynamic allocation of sanitation vehicle resources is realized. For example, when the amount of garbage in a certain area increases suddenly due to a special event, the system automatically allocates idle vehicles or vehicles with lighter tasks in the surrounding area to provide support; when a vehicle has a fault warning and the maintenance time is long, a spare vehicle is promptly arranged to replace it to ensure that the operation task is not affected.

[0063] Optimize fuel purchase plans based on vehicle fuel consumption data and operation routes and road conditions. For example, analyze fuel consumption differences in different seasons and sections of roads, estimate fuel demand in advance, arrange purchase time and purchase volume reasonably, and reduce fuel inventory costs.

[0064] The human-computer interaction module 110 provides personalized visualization interfaces for different user roles such as environmental sanitation management departments, vehicle dispatchers, and maintenance personnel. It visually displays the real-time positions, operation trajectories of sanitation vehicles, and the operation coverage of each area on a map; presents the results of operation efficiency analysis in the form of charts (such as bar charts showing the comparison of operation durations in different areas, line charts reflecting the changing trend of vehicle energy consumption, etc.), the vehicle health status (such as dashboard displaying fault warning information of each component), and the resource allocation situation (such as pie charts analyzing the vehicle task allocation ratio), enabling users to intuitively and quickly understand the overall operation of the vehicle and facilitating decision-making.

[0065] Intelligent decision-making assistance module 201: Based on the data analysis results, it provides intelligent decision-making suggestions for users. For example, when the system detects that the operation efficiency in a certain area is low and the vehicle resources are tight, it automatically recommends solutions to adjust the operation mode (such as increasing the cleaning width, raising the cleaning speed) or optimizing the operation route; when a vehicle fault warning is issued, it provides maintenance strategy suggestions (such as recommended repair locations, lists of repair parts, and estimated repair times), assisting users in making scientific decisions and improving management efficiency.

[0066] The second embodiment of the present application is as follows:

[0067] Based on the first embodiment, please refer to Figure 2 , Figure 2 which is the principle block diagram of the second embodiment of the present invention.

[0068] The present invention provides a data analysis system based on the vehicle information of sanitation vehicles, which further includes an intelligent decision-making assistance module 201, an acquisition module 202, and a storage module 203.

[0069] For this specific embodiment, the intelligent decision-making assistance module 201 is connected to the operation efficiency analysis module 108. The intelligent decision-making assistance module 201 provides intelligent decision-making suggestions for users based on the data analysis results. For example, when the system detects that the operation efficiency in a certain area is low and the vehicle resources are tight, it automatically recommends solutions to adjust the operation mode (such as increasing the cleaning width, raising the cleaning speed) or optimizing the operation route; when a vehicle fault warning is issued, it provides maintenance strategy suggestions (such as recommended repair locations, lists of repair parts, and estimated repair times), assisting users in making scientific decisions and improving management efficiency.

[0070] Among them, the acquisition module 202 is connected to the vehicle health diagnosis module 125 through the storage module 203. The acquisition module 202 regularly and automatically acquires historical information and stores it in the storage module 203, facilitating the vehicle health diagnosis module 125 to perform self-optimization based on the data in the storage module 203.

[0071] When using a data analysis system based on the vehicle information of a sanitation vehicle according to this embodiment, during specific use, the intelligent decision-making assistance module 201 provides intelligent decision-making suggestions for users according to the data analysis results. For example, when the system detects that the operation efficiency in a certain area is low and the vehicle resources are tense, it automatically recommends solutions to adjust the operation mode (such as increasing the cleaning width and improving the cleaning speed) or optimizing the operation route; when a vehicle fault warning is issued, it provides maintenance strategy suggestions (such as recommended maintenance locations, maintenance part lists, and estimated maintenance times), assisting users to make scientific decisions and improve management efficiency. The acquisition module 202 regularly and automatically acquires historical information and stores it in the storage module 203, facilitating the self-optimization of the vehicle health diagnosis module 125 based on the data in the storage module 203.

[0072] The above-disclosed is only a preferred embodiment of the present invention. Of course, it cannot be used to limit the scope of the rights of the present invention. Those of ordinary skill in the art can understand the entire or part of the processes of implementing the above embodiments, and the equivalent changes made according to the claims of the present invention still fall within the scope covered by the invention.

Claims

1. A data analysis system based on sanitation vehicle information, characterized in that: It includes a multi-sensor integrated acquisition unit, a data acquisition controller, a server, an encrypted transmission unit, a signal detection module, an on-board data recording module, a preprocessing unit, an operation efficiency analysis module, a resource optimization configuration module and a human-computer interaction module, wherein the data acquisition controller is connected to the multi-sensor integrated acquisition unit, the server is connected to the data acquisition controller, the signal detection module and the on-board data recording module are both connected to the server, the preprocessing unit is connected to the server via the encrypted transmission unit, the operation efficiency analysis module is connected to the preprocessing unit and the resource optimization configuration module, and the human-computer interaction module is connected to the resource optimization configuration module; The multi-sensor integrated acquisition unit is used to collect various data of the sanitation vehicle; The data acquisition controller is used to aggregate and transmit the data collected by the multi-sensor integrated acquisition unit to the server; The signal detection module detects the network signal status of the vehicle, and transmits data to the vehicle data recording module if the signal status is not good; When the signal condition is good, the data is transmitted to the pre-processing unit through the encryption transmission unit; The preprocessing unit is used to clean the data and remove noise data, outliers and duplicate data; The operation efficiency analysis module analyzes the preprocessed data to evaluate the operation efficiency of the sanitation vehicle and provide decision support for the resource optimization configuration module; The resource optimization configuration module realizes the dynamic allocation of sanitation vehicle resources according to the results of the operation efficiency analysis module, and makes predictions when the vehicle needs maintenance.

2. The data analysis system based on sanitation vehicle information according to claim 1, characterized in that: The multi-sensor integrated acquisition unit includes a pressure sensor, a temperature sensor, a flow sensor, a position sensor, an acceleration sensor and an image sensor, and the pressure sensor, the temperature sensor, the flow sensor, the position sensor, the acceleration sensor and the image sensor are all connected to the data acquisition controller.

3. The data analysis system based on sanitation vehicle information according to claim 2, characterized in that: The encryption transmission unit includes an encryption module, a decryption module, a key management module, a key generation module and a transmission module. The transmission module is arranged between the server and the preprocessing unit. The encryption module and the decryption module are connected to the server and the preprocessing unit respectively. The key management module is connected to the encryption module and the decryption module, and the key generation module is connected to the key management module.

4. The data analysis system based on sanitation vehicle information as claimed in claim 3, characterized in that: The pre-processing unit includes a data cleaning module, a data filling module and a data formatting module, wherein the data cleaning module is connected to the transmission module, the data filling module is connected to the data cleaning module and the data formatting module, and the data formatting module is also connected to the operation efficiency analysis module; The implementation method of the data cleaning module is as follows: Noise data removal: Use data filtering algorithms to remove erroneous data points caused by sensor failure, electromagnetic interference, etc. Outlier detection and processing: Identify and process outliers through statistical methods or machine learning algorithms, and delete, modify or mark them as abnormal; Deduplication: Identify and delete duplicate data records using hashing algorithms or database uniqueness constraints; The data formatting module can convert the processed data into a specific format for subsequent analysis.

5. The data analysis system based on sanitation vehicle information according to claim 4, characterized in that: The data analysis system based on sanitation vehicle information also includes a vehicle health diagnosis module, and the vehicle health diagnosis module is connected to the server; The vehicle health diagnosis module uses a machine learning algorithm to build a vehicle component failure prediction model and predicts vehicle failures based on the collected vehicle information.

6. The data analysis system based on sanitation vehicle information according to claim 5, characterized in that: The data analysis system based on sanitation vehicle information also includes a chart generation module, which is embedded in the human-computer interaction module.

7. The data analysis system based on sanitation vehicle information according to claim 6, characterized in that: The data analysis system based on sanitation vehicle information also includes a maintenance module, which is also connected to the server.

Images