Sanitation vehicle real-time diagnosis system

Abstract

The invention relates to the technical field of sanitation vehicles, in particular to a sanitation vehicle real-time diagnosis system which comprises a multi-dimensional sensor unit, a data acquisition module, a preprocessing unit, a vehicle-mounted control unit, a pushing module, an alarm module and a client. The preprocessing unit is connected with the data acquisition module, the vehicle-mounted control unit comprises a microprocessor and a storage module, the microprocessor is connected with the preprocessing unit, the storage module is connected with the microprocessor, the push module and the alarm module are both connected with the vehicle-mounted control unit, and the client is connected with the vehicle-mounted control unit. In this way, the technical problems that in the prior art, a manual regular inspection maintenance mode lacks real-time monitoring and early warning capacity, monitoring means are insufficient, fault discovery lags behind, and operation efficiency and safety are affected are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of sanitation vehicles, and particularly to a real-time diagnosis system for sanitation vehicles. Background Art

[0002] Sanitation vehicles play a crucial role in urban environmental sanitation maintenance work, with a complex working environment and high operation intensity. However, the traditional maintenance method of sanitation vehicles mainly relies on regular manual inspections, which has obvious limitations. Especially for key components such as the hydraulic system, power system, and electrical system of sanitation vehicles, the existing technology lacks real-time monitoring means and it is difficult to detect and warn potential fault hazards in a timely manner during vehicle operation. For example, when the pressure of the hydraulic system is abnormal during operation, it cannot alarm in real time and accurately locate the cause of the fault, which may not only lead to operation interruption but also cause serious safety accidents. In addition, due to the lack of accurate operation data support, the vehicle maintenance work also often relies on empirical judgment and it is difficult to achieve precise maintenance.

[0003] In summary, in the prior art, the maintenance method of manual regular inspection lacks real-time monitoring and warning capabilities, and the monitoring means are insufficient, resulting in delayed fault discovery and affecting operation efficiency and safety. Summary of the Invention

[0004] The purpose of the present invention is to provide a real-time diagnosis system for sanitation vehicles, aiming to solve the technical problems in the prior art that the maintenance method of manual regular inspection lacks real-time monitoring and warning capabilities, and the monitoring means are insufficient, resulting in delayed fault discovery and affecting operation efficiency and safety.

[0005] To achieve the above purpose, a real-time diagnosis system for sanitation vehicles adopted by the present invention includes a multi-dimensional sensor unit, a data acquisition module, a preprocessing unit, an in-vehicle control unit, a push module, an alarm module, and a client. The data acquisition module is connected to the multi-dimensional sensor unit, the preprocessing unit is connected to the data acquisition module, the in-vehicle control unit includes a microprocessor and a storage module, the microprocessor is connected to the preprocessing unit, the storage module is connected to the microprocessor, the push module and the alarm module are both connected to the in-vehicle control unit, and the client is connected to the in-vehicle control unit;

[0006] The multi-dimensional sensor unit is used to monitor various data parameters of the sanitation vehicle;

[0007] The data acquisition module is used to collect the data monitored by the multi-dimensional sensor unit and transmit it to the preprocessing unit;

[0008] The preprocessing unit is used to convert the monitored data into digital signals;

[0009] The microprocessor receives the converted data, compares it with the normal operating parameter range pre-stored in the storage module, determines whether there is a fault, and comprehensively determines the cause of the fault by analyzing the data of multiple relevant sensors;

[0010] When a fault and the specific cause of the fault are detected, the push module is used to push the fault information and the possible cause of the fault to the display screen of the vehicle for display.

[0011] Among them, the multi-dimensional sensor unit includes a temperature sensor, a first pressure sensor, a rotational speed sensor, a second pressure sensor, a flow sensor, a current sensor, and a voltage sensor. The temperature sensor, the first pressure sensor, the rotational speed sensor, the second pressure sensor, the flow sensor, the current sensor, and the voltage sensor are all connected to the data acquisition module;

[0012] The temperature sensor, the first pressure sensor, and the rotational speed sensor are arranged in the power system and are respectively used to monitor the temperature of the engine, the fuel pressure, and the crankshaft rotational speed parameter;

[0013] The second pressure sensor and the flow sensor are arranged in the hydraulic system and are used to detect the pressure and flow of the hydraulic oil;

[0014] The current sensor and the voltage sensor are arranged in the electrical system and are used to monitor the current and voltage conditions of the electrical circuit.

[0015] Among them, the preprocessing unit includes a signal receiving module, a data conversion module, a filtering processing module, and a data verification module. The signal receiving module is connected to the data acquisition module, the data conversion module is connected to the signal receiving module, the filtering processing module is connected to the data conversion module, the data verification module is connected to the filtering processing module, and the data verification module is also connected to the vehicle-mounted control unit;

[0016] The signal receiving module is responsible for receiving the original data transmitted from the data acquisition module;

[0017] The data conversion module is used to convert the received analog signal into a digital signal;

[0018] The filtering processing module performs filtering processing on the converted digital signal to remove noise interference;

[0019] The data verification module is used to verify the filtered data to check whether the data is complete and accurate.

[0020] The algorithm adopted by the filtering processing module is as follows:

[0021] For low-frequency signals, a low-pass filtering algorithm is adopted;

[0022] For high-frequency noise, a high-pass filtering algorithm is adopted;

[0023] For signals in a specific frequency band, a band-pass filtering algorithm is adopted;

[0024] For specific frequency components that need to be suppressed, a band-stop filtering algorithm is adopted.

[0025] Wherein, the real-time vehicle diagnosis system of the sanitation vehicle further includes a positioning module, and the positioning module is connected to the vehicle-mounted control unit;

[0026] The positioning module integrates GPS or other positioning technologies to obtain the geographical location information of the sanitation vehicle in real time.

[0027] Wherein, the real-time vehicle diagnosis system of the sanitation vehicle further includes a login module and an error reporting module, the login module is connected to the client, and the error reporting module is connected to the login module.

[0028] Wherein, the real-time vehicle diagnosis system of the sanitation vehicle further includes a permission management module, and the permission management module is connected to the login module.

[0029] Wherein, the real-time vehicle diagnosis system of the sanitation vehicle further includes an expansion interface module, and the expansion interface module is connected to the data acquisition module.

[0030] When the real-time vehicle diagnosis system of the sanitation vehicle of the present invention is specifically used, various data parameters of the sanitation vehicle are monitored by the multi-dimensional sensor unit, the data acquisition module collects the data monitored by the multi-dimensional sensor unit, and transmits it to the preprocessing unit to be converted into digital signals. The microprocessor receives the converted data and compares it with the normal operation parameter range pre-stored in the storage module to determine whether there is a fault, and comprehensively judges the cause of the fault by analyzing the data of multiple relevant sensors. When a fault and the specific cause of the fault are detected, the fault information and the possible cause of the fault are pushed to the display screen of the vehicle through the push module. For example, when the hydraulic system pressure is insufficient, the display screen will show "Low hydraulic system pressure, possibly due to hydraulic pump failure or pipeline leakage". In this way, the technical problems in the prior art that the maintenance method of manual regular inspection lacks real-time monitoring and early warning capabilities, and the monitoring means are insufficient, resulting in lagging fault discovery and affecting operation efficiency and safety are solved. Description of the Drawings

[0031] 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 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 be obtained based on these drawings.

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

[0033] Figure 2 is the principle block diagram of the second embodiment of the present invention.

[0034] 101 - Multi - dimensional sensor unit, 102 - Data acquisition module, 103 - Pre - processing unit, 104 - Vehicle control unit, 105 - Push module, 106 - Alarm module, 107 - Client, 108 - Positioning module, 109 - Login module, 110 - Error reporting module, 111 - Permission management module, 112 - Expansion interface module, 113 - Temperature sensor, 114 - First pressure sensor, 115 - Rotation speed sensor, 116 - Second pressure sensor, 117 - Flow sensor, 118 - Current sensor, 119 - Voltage sensor, 120 - Signal receiving module, 121 - Data conversion module, 122 - Filtering processing module, 123 - Data verification module, 124 - Micro - processor, 125 - Storage module, 201 - Protection module, 202 - Maintenance strategy formulation module, 203 - Compression module. Specific implementation manners

[0035] 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.

[0036] The first embodiment of the present application is as follows:

[0037] Please refer to Figure 1 , in which Figure 1 is the principle block diagram of the first embodiment of the present invention.

[0038] The present invention provides a real-time diagnosis system for a sanitation vehicle, which includes a multi-dimensional sensor unit 101, a data acquisition module 102, a preprocessing unit 103, a vehicle-mounted control unit 104, a push module 105, an alarm module 106, a client 107, a positioning module 108, a login module 109, an error reporting module 110, a permission management module 111, and an expansion interface module 112. The multi-dimensional sensor unit 101 includes a temperature sensor 113, a first pressure sensor 114, a rotational speed sensor 115, a second pressure sensor 116, a flow sensor 117, a current sensor 118, and a voltage sensor 119. The preprocessing unit 103 includes a signal receiving module 120, a data conversion module 121, a filtering processing module 122, and a data verification module 123. The vehicle-mounted control unit includes a microprocessor 124 and a storage module 125. The foregoing solution solves the technical problems in the prior art that the maintenance method of manual regular inspection lacks real-time monitoring and early warning capabilities, and the monitoring means are insufficient, resulting in a lag in fault discovery and affecting the operation efficiency and safety.

[0039] For this specific embodiment, the multi-dimensional sensor unit 101 is used to monitor various data parameters of the sanitation vehicle;

[0040] The data acquisition module 102 is used to collect the data monitored by the multi-dimensional sensor unit 101 and transmit it to the preprocessing unit 103;

[0041] The preprocessing unit 103 is used to convert the monitored data into digital signals;

[0042] The microprocessor 124 receives the converted data, compares it with the normal operation parameter range pre-stored in the storage module 125 to determine whether there is a fault, and comprehensively determines the cause of the fault by analyzing the data of multiple relevant sensors;

[0043] When a fault and the specific cause of the fault are detected, the push module 105 is used to push the fault information and the possible cause of the fault to the display screen of the vehicle for display.

[0044] Among them, the data acquisition module 102 is connected to the multi-dimensional sensor unit 101, the preprocessing unit 103 is connected to the data acquisition module 102, the vehicle-mounted control unit 104 includes a microprocessor 124 and a storage module 125, the microprocessor 124 is connected to the preprocessing unit 103, the storage module 125 is connected to the microprocessor 124, the push module 105 and the alarm module 106 are both connected to the vehicle-mounted control unit 104, and the client 107 is connected to the vehicle-mounted control unit 104. In specific use, various data parameters of the sanitation vehicle are monitored by the multi-dimensional sensor unit 101. The data acquisition module 102 acquires the data monitored by the multi-dimensional sensor unit 101 at a certain sampling frequency (such as once every 10 milliseconds) and transmits it to the preprocessing unit 103 to be converted into digital signals. The microprocessor 124 receives the converted data and compares it with the normal operation parameter range pre-stored in the storage module 125 to determine whether there is a fault. (For example, if the temperature data collected by the engine water temperature sensor exceeds the set normal temperature range, such as 80°C - 95°C, a further fault diagnosis program is started) and the cause of the fault is comprehensively judged by analyzing the data of multiple relevant sensors. When a fault and the specific cause of the fault are detected, the push module 105 is used to push the fault information and the possible cause of the fault to the vehicle's display screen. For example, when the hydraulic system pressure is insufficient, the display screen will show "Low hydraulic system pressure, possibly a hydraulic pump fault or pipeline leakage". In this way, the technical problems in the prior art that the maintenance method of manual regular inspection lacks real-time monitoring and early warning capabilities, and the monitoring means are insufficient, resulting in lagging fault discovery and affecting operation efficiency and safety are solved.

[0045] Moreover, the vehicle-mounted control unit 104 stores each diagnosis data and fault information in the storage module 125 to form a historical data record. By analyzing the historical data, the laws and trends of vehicle faults can be found. For example, the time period when a certain component frequently fails or the type of fault that is likely to occur under specific working conditions, providing a basis for the preventive maintenance of the vehicle.

[0046] Secondly, the temperature sensor 113, the first pressure sensor 114, the rotational speed sensor 115, the second pressure sensor 116, the flow sensor 117, the current sensor 118, and the voltage sensor 119 are all connected to the data acquisition module 102;

[0047] The temperature sensor 113, the first pressure sensor 114, and the rotational speed sensor 115 are arranged in the power system and are respectively used to monitor the temperature, fuel pressure, and crankshaft rotational speed parameters of the engine;

[0048] The second pressure sensor 116 and the flow sensor 117 are arranged in the hydraulic system for detecting the pressure and flow rate of the hydraulic oil;

[0049] The current sensor 118 and the voltage sensor 119 are arranged in the electrical system for monitoring the current and voltage conditions of the electrical circuit.

[0050] Meanwhile, the signal receiving module 120 is connected to the data acquisition module 102, the data conversion module 121 is connected to the signal receiving module 120, the filtering and processing module 122 is connected to the data conversion module 121, the data verification module 123 is connected to the filtering and processing module 122, and the data verification module 123 is also connected to the vehicle-mounted control unit 104;

[0051] The signal receiving module 120 is responsible for receiving the original data transmitted from the data acquisition module 102;

[0052] The data conversion module 121 is used to convert the received analog signal into a digital signal;

[0053] The data conversion module 121 usually includes an analog-to-digital converter (ADC); the algorithm of the ADC involves the selection of the sampling rate, the processing of quantization error, and the optimization of conversion accuracy; the ADC algorithm can adopt successive approximation type (SAR), integral type, and parallel comparison type.

[0054] The filtering and processing module 122 performs filtering processing on the converted digital signal to remove noise interference;

[0055] Specific algorithms:

[0056] Low-pass filtering algorithm: used to retain low-frequency signals and remove high-frequency noise. Common low-pass filters include Butterworth filters, Chebyshev filters, etc.

[0057] High-pass filtering algorithm: used to retain high-frequency signals and remove low-frequency noise. The design of the high-pass filter is similar to that of the low-pass filter, but the characteristics of the filter are opposite.

[0058] Band-pass filtering algorithm: allows signals in a specific frequency band to pass through while suppressing signals in other frequency bands. Band-pass filters are often used for feature extraction in signal processing.

[0059] Band-stop filtering algorithm: suppresses signals in a specific frequency band and allows signals in other frequency bands to pass through. Band-stop filters are often used to remove interference signals or noise.

[0060] The data verification module 123 is used to verify the filtered data to check whether the data is complete and accurate.

[0061] The data verification module 123 adopts multiple algorithms to ensure the integrity and accuracy of data. The verification algorithms include parity check, cyclic redundancy check (CRC), checksum, etc. At the same time, data redundancy technologies (such as error correction codes) can also be adopted to improve the reliability of data. In a real-time diagnosis system, the data verification module 123 can also implement fast verification algorithms with high real-time requirements.

[0062] In addition, the positioning module 108 is connected to the vehicle-mounted control unit 104;

[0063] The positioning module 108 integrates GPS or other positioning technologies to obtain the geographical location information of the sanitation vehicle in real time.

[0064] Again, the login module 109 is connected to the client 107, the error reporting module 110 is connected to the login module 109. The login module 109 sets login credentials such as username and password. The login module 109 can prevent unauthorized access, thereby protecting the system from the risks of malicious attacks and data leakage;

[0065] The error reporting module 110 can report an error when unauthorized access is recognized.

[0066] Moreover, the permission management module 111 is connected to the login module 109. The permission management module 111 restricts the access of the logged-in user to system functions and data according to the role and permission level of the user.

[0067] Finally, the expansion interface module 112 is connected to the data acquisition module 102. The expansion interface module 112 provides a standardized expansion interface, which is convenient for adding new sensors, controllers or functional modules in the future.

[0068] When using a real-time vehicle diagnosis system for a sanitation vehicle according to this embodiment, during specific use, various data parameters of the sanitation vehicle are monitored by the multi-dimensional sensor unit 101. The data acquisition module 102 collects the data monitored by the multi-dimensional sensor unit 101 and transmits it to the preprocessing unit 103 to be converted into digital signals. The microprocessor 124 receives the converted data and compares it with the normal operating parameter range pre-stored in the storage module 125 to determine whether there is a fault, and comprehensively judges the cause of the fault by analyzing the data of multiple relevant sensors. When a fault and the specific cause of the fault are detected, they are pushed to the vehicle's display screen through the push module 105 to display the fault information and the possible cause of the fault. For example, when the hydraulic system pressure is insufficient, the display screen will show "Low hydraulic system pressure, possibly due to a hydraulic pump fault or pipeline leakage". In this way, the technical problems in the prior art that the maintenance method of manual regular inspection lacks real-time monitoring and early warning capabilities, and the monitoring means are insufficient, resulting in a lag in fault discovery and affecting operation efficiency and safety are solved.

[0069] The second embodiment of this application is as follows:

[0070] 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.

[0071] The present invention provides a real-time vehicle diagnosis system for a sanitation vehicle, which further includes a safety protection module 201, a maintenance strategy formulation module 202, and a compression module 203.

[0072] For this specific embodiment, the safety protection module 201 is connected to the vehicle-mounted control unit 104. The safety protection module 201 includes functions such as data encryption, access control, and firewall to protect the system from malicious attacks and data leakage.

[0073] Among them, the maintenance strategy formulation module 202 is connected to the vehicle-mounted control unit 104. The maintenance strategy formulation module 202 can generate a maintenance strategy based on the analysis results for maintenance personnel to refer to for maintenance.

[0074] Secondly, the compression module 203 is connected to the storage module 125. The compression module 203 can compress the data in the storage module 125.

[0075] When using a real-time diagnosis system for a sanitation vehicle according to this embodiment, during specific use, the safety protection module 201 includes functions such as data encryption, access control, and firewall to protect the system from malicious attacks and data leakage. The maintenance strategy formulation module 202 can generate a maintenance strategy based on the analysis results for maintenance personnel to refer to for maintenance. The compression module 203 can compress the data in the storage module 125.

[0076] 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 all 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 real-time diagnosis system for sanitation vehicles, characterized in that: It includes a multi-dimensional sensor unit, a data acquisition module, a preprocessing unit, a vehicle-mounted control unit, a push module, an alarm module and a client, wherein the data acquisition module is connected to the multi-dimensional sensor unit, the preprocessing unit is connected to the data acquisition module, the vehicle-mounted control unit includes a microprocessor and a storage module, the microprocessor is connected to the preprocessing unit, the storage module is connected to the microprocessor, the push module and the alarm module are both connected to the vehicle-mounted control unit, and the client is connected to the vehicle-mounted control unit; The multi-dimensional sensor unit is used to monitor various data parameters of the sanitation vehicle; The data acquisition module is used to collect the data monitored by the multi-dimensional sensor unit and transmit it to the pre-processing unit; The preprocessing unit is used to convert the monitored data into digital signals; The microprocessor receives the converted data and compares it with the normal operating parameter range pre-stored in the storage module to determine whether there is a fault, and comprehensively determines the cause of the fault by analyzing the data of multiple related sensors; When a fault and a specific fault cause are detected, the fault information and possible fault causes are pushed to the display screen of the vehicle through the push module.

2. The real-time diagnosis system for sanitation vehicles according to claim 1, characterized in that: The multi-dimensional sensor unit includes a temperature sensor, a first pressure sensor, a rotation speed sensor, a second pressure sensor, a flow sensor, a current sensor and a voltage sensor, and the temperature sensor, the first pressure sensor, the rotation speed sensor, the second pressure sensor, the flow sensor, the current sensor and the voltage sensor are all connected to the data acquisition module; The temperature sensor, the first pressure sensor, and the speed sensor are arranged in the power system and are used to monitor the temperature, fuel pressure, and crankshaft speed parameters of the engine respectively; The second pressure sensor and the flow sensor are arranged in the hydraulic system to detect the pressure and flow of the hydraulic oil; The current sensor and the voltage sensor are arranged in an electrical system to monitor the current and voltage conditions of the electrical circuit.

3. The real-time diagnosis system for sanitation vehicles according to claim 2, characterized in that: The preprocessing unit includes a signal receiving module, a data conversion module, a filtering processing module and a data verification module, wherein the signal receiving module is connected to the data acquisition module, the data conversion module is connected to the signal receiving module, the filtering processing module is connected to the data conversion module, the data verification module is connected to the filtering processing module, and the data verification module is also connected to the vehicle-mounted control unit; The signal receiving module is responsible for receiving the original data transmitted from the data acquisition module; The data conversion module is used to convert the received analog signal into a digital signal; The filtering processing module performs filtering processing on the converted digital signal to remove noise interference; The data verification module is used to verify the filtered data to check whether the data is complete and accurate; The algorithm used by the filtering processing module is as follows: For low-frequency signals, a low-pass filtering algorithm is used; For high-frequency noise, a high-pass filtering algorithm is used; For signals in a specific frequency band, a bandpass filtering algorithm is used; For specific frequency components that need to be suppressed, a band-stop filtering algorithm is used.

4. The real-time diagnosis system for sanitation vehicles according to claim 3, characterized in that: The real-time diagnostic system for sanitation vehicles also includes a positioning module, which is connected to the vehicle-mounted control unit; The positioning module integrates GPS or other positioning technologies to obtain the geographical location information of the sanitation vehicle in real time.

5. The real-time diagnosis system for sanitation vehicles according to claim 4, characterized in that: The real-time diagnosis system for sanitation vehicles also includes a login module and an error reporting module. The login module is connected to the client, and the error reporting module is connected to the login module.

6. The real-time diagnosis system for sanitation vehicles according to claim 5, characterized in that: The real-time diagnosis system for sanitation vehicles also includes a rights management module, and the rights management module is connected to the login module.

7. The real-time diagnosis system for sanitation vehicles according to claim 6, characterized in that: The real-time diagnosis system for sanitation vehicles also includes an expansion interface module, which is connected to the data acquisition module.

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