Digital warehousing system for storing sanitation vehicle parts

Abstract

The invention relates to the technical field of sanitation equipment management, and discloses a digital warehousing system for sanitation vehicle part storage, comprising: a processing module for processing various data of the warehousing system and issuing a control instruction to each module; the visual identification module is used for collecting appearance image information and storage location state image information of the parts; the weight detection module is used for detecting weight data of the parts; the intelligent goods shelf module is used for bearing parts and monitoring the running state of the goods shelf; and the life cycle management module is used for managing the life cycle of the part based on the related data of the part. The visual recognition module collects appearance images of parts in real time and captures abrasion and corrosion appearance changes, the weight detection module continuously monitors weight data of the parts, precise management of the life cycle of the parts of the sanitation truck is achieved, and the problems that the state of the parts is sensed unilaterally, life cycle evaluation is inaccurate, and the service life of the sanitation truck is influenced are solved. And parts are easily overused or scrapped in advance.

Description

Technical Field

[0001] This invention relates to the field of sanitation equipment management technology, specifically a digital warehousing system for storing sanitation vehicle parts. Background Technology

[0002] In the daily operation of the sanitation industry, the warehousing management of sanitation vehicle parts is a key link to ensure the normal maintenance and efficient operation of vehicles. Sanitation vehicle parts are diverse in type and specification, and some parts are prone to wear and corrosion due to long-term exposure to complex environments. Their performance and service life will change over time. Therefore, scientific storage, real-time status monitoring and full life cycle management of these parts are of great significance for ensuring the availability of parts, reducing operating costs and minimizing vehicle downtime caused by parts failure. At present, the industry usually establishes a dedicated warehousing area for centralized management of sanitation vehicle parts, involving multiple links such as parts receiving, storage, outbound and maintenance.

[0003] In existing technologies, component condition monitoring and lifecycle management mostly rely on manual inspection or single weight measurement, which makes it difficult to comprehensively and accurately capture the true condition of components. Manual inspection is inefficient, subject to subjective influence, and easily misses information such as minor wear and tear. As a result, lifecycle assessment lacks data support and has large deviations in results. Consequently, it is impossible to grasp the degree of component wear and remaining life in a timely manner, leading to either overuse causing failure or premature replacement causing waste. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a digital warehousing system for storing sanitation vehicle parts, which solves the problems of relying on manual recording or monitoring of parts status, resulting in incomplete perception of parts status, inaccurate life cycle assessment, and easy overuse or premature scrapping of parts.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a digital warehousing system for storing sanitation vehicle parts, comprising: The processing module is used to process various types of data in the warehousing system and issue control commands to various modules; The visual recognition module is used to collect image information of the appearance of parts and image information of their storage location. The weight detection module is used to detect the weight data of the parts; The intelligent shelving module is used to carry components and monitor the operating status of the shelving. Logistics transmission module, used for the inbound and outbound transportation of parts; The lifecycle management module is used to manage the lifecycle of components based on relevant data. The communication module is used for data transmission between the above modules.

[0006] By adopting the above technical solution, with the processing module as the core of data processing, the visual recognition module and the weight detection module as the source of status perception, the life cycle management module as the life cycle control center, and the other modules working together to form a data closed loop through the communication module, a digital warehousing system for parts life cycle management is built.

[0007] As a further description of the above technical solution: the processing module includes a data processing unit, an instruction generation unit, and a storage unit. The data processing unit is used to analyze and process the data transmitted by the visual recognition module and the weight detection module. The instruction generation unit is used to generate control instructions for the intelligent shelf module and the logistics transmission module based on the data processing results. The storage unit is used to store various real-time data and historical data of the components.

[0008] By adopting the above technical solution, the data processing unit's analysis of visual and weight data serves as the basis for instruction generation, while the historical data retained by the storage unit provides a reference standard for the lifecycle management module's analysis, making the processing module the central node connecting perceived data and execution instructions.

[0009] As a further description of the above technical solution: the visual recognition module includes an image acquisition unit, an image preprocessing unit, and a feature extraction unit. The image acquisition unit is used to capture the appearance image of the parts and the status image of the storage location. The image preprocessing unit is used to perform noise reduction and enhancement processing on the image acquired by the image acquisition unit. The feature extraction unit is used to extract the appearance features of the parts and the status features of the storage location from the preprocessed image.

[0010] By adopting the above technical solution, the image acquisition unit acquires the appearance data of the original sanitation vehicle parts. After the appearance data is optimized by the preprocessing unit, the feature extraction unit extracts the appearance features that can be used for analysis, providing basic visual data for wear analysis in the life cycle management module.

[0011] As a further description of the above technical solution: the weight detection module includes a weighing unit and a weight data transmission unit. The weighing unit is used to measure the weight of sanitation vehicle parts entering, leaving and being stored. The weight data transmission unit is used to send the weight data acquired by the weighing unit to the storage unit.

[0012] By adopting the above technical solution, the weight data collected by the weighing unit is sent to the processing module via the transmission unit, complementing the visual data and providing data support for weight decay analysis in the life cycle management module.

[0013] As a further description of the above technical solution: the intelligent shelf module includes a shelf body unit, a status monitoring unit, and a storage location identification unit. The shelf body unit is used to place sanitation vehicle parts, the status monitoring unit is used to monitor the load-bearing weight of the shelf body unit and the temperature and humidity of the environment, and the storage location identification unit is used to uniquely identify each storage location on the shelf body unit.

[0014] By adopting the above technical solution, the binding of the storage location identification unit components to the storage location, and the environmental data obtained by the status monitoring unit can help explain the reasons for the changes in visual data and weight data, and the two data together support the processing module in controlling the storage status of sanitation vehicle components.

[0015] As a further description of the above technical solution: the logistics transmission module includes a transportation unit, a drive control unit, and a positioning unit. The transportation unit is used to carry parts and move them for transportation. The drive control unit is used to drive the transportation unit to move along a set path. The positioning unit is used to obtain the location information of the transportation unit in real time.

[0016] By adopting the above technical solution, the positioning unit provides the drive control unit with the location information of the transport unit, and the drive control unit controls the movement of the transport unit based on the location information and the instructions of the processing module.

[0017] As a further description of the above technical solution: the lifecycle management module includes a data receiving unit, a lifecycle analysis unit, and an information output unit. The data receiving unit is used to receive component data transmitted by the storage unit in the processing module. The lifecycle analysis unit is used to determine the lifecycle stage of the sanitation vehicle components based on historical and real-time data. The information output unit is used to send the determination result of the lifecycle analysis unit to the processing module.

[0018] By adopting the above technical solution, the basic data acquired by the data receiving unit provides a basis for the judgment of the life cycle analysis unit, and the analysis results are fed back to the processing module through the output unit, thus completing the closed loop of life cycle management.

[0019] As a further description of the above technical solution: the communication module includes a wired communication unit and a wireless communication unit. The wired communication unit is used for short-range data transmission between modules of a wired network, and the wireless communication unit is used for long-range data transmission between modules of a wireless network.

[0020] By adopting the above technical solutions, wired communication ensures stable data interaction of the fixed module, while wireless communication adapts to the mobility characteristics of the logistics transmission module, ensuring seamless data transmission in the warehousing system.

[0021] As a further description of the above technical solution: the life cycle analysis unit includes a wear analysis subunit, a weight decay subunit, and a life prediction subunit. The wear analysis subunit is used to compare the historical appearance image data transmitted by the storage unit and calculate the surface wear change rate. The weight decay subunit is used to analyze the historical weight data transmitted by the storage unit and generate a material loss curve. The life prediction subunit is used to fuse the wear change rate and the material loss curve and output the remaining life estimate.

[0022] By adopting the above technical solution, the results of damage analysis and weight decay analysis are used together as input parameters for life prediction, so that the remaining life estimate comprehensively reflects the actual condition of the components.

[0023] As a further description of the above technical solution: the image acquisition unit includes a timed acquisition subunit and a triggered acquisition subunit. The timed acquisition subunit is used to acquire appearance images of parts at set time intervals, and the triggered acquisition subunit is used to acquire appearance images of parts when triggered at specific life cycle nodes such as parts entering or leaving the warehouse.

[0024] By adopting the above technical solution, the gradual change data of the parts is collected at regular intervals, and the status of key nodes is captured by the collection. The combination of the two types of data provides a complete basis for the analysis of appearance features.

[0025] This invention provides a digital warehousing system for storing sanitation vehicle parts. It has the following advantages: 1. In this invention, the visual recognition module collects images of the appearance of the parts in real time to capture changes in appearance due to wear and corrosion, and the weight detection module continuously monitors the weight data of the parts to track weight changes caused by wear. The appearance and weight data provide multi-dimensional data support for the life cycle management module, realizing precise management of the life cycle of sanitation vehicle parts. This achieves the technical effect of dynamically grasping the status of parts and predicting maintenance needs in advance. Compared with the existing technology that relies solely on manual recording or monitoring of the status of parts using a single parameter, this invention solves the shortcomings of the existing technology, such as one-sided perception of the status of parts, inaccurate life cycle assessment, and easy overuse or premature scrapping of parts.

[0026] 2. In this invention, the data from the visual recognition and weight detection modules are integrated and processed by the processing module to generate control instructions for the intelligent shelf module and the logistics transmission module, thereby realizing intelligent scheduling of parts storage and transportation. This achieves the technical effect of improving the utilization rate of warehouse space and increasing the efficiency of parts entering and leaving the warehouse. Compared with the existing technology, which involves independent operation of each warehousing link and a lot of manual intervention, this invention solves the shortcomings of poor warehousing process connection, low operational efficiency, and easy occurrence of warehouse location confusion and transportation errors.

[0027] 3. In this invention, a technical solution for constructing a data transmission network for each module using a communication module is adopted. By combining wired and wireless communication methods, real-time data interaction between the visual recognition module, weight detection module, lifecycle management module, and processing module is ensured. This provides a stable data link for the digital management of the entire warehousing system, achieving the technical effect of rapid collaborative response from each module. Compared with the existing technical solutions with single data transmission methods and poor stability, this invention solves the shortcomings of delayed and easily interrupted data interaction between modules, which affect the real-time performance and accuracy of warehousing management. Attached Figure Description

[0028] Figure 1 This is a modular architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 2 This is a diagram of the processing module architecture of a digital warehousing system for storing sanitation vehicle parts according to the present invention. Figure 3 This is a visual recognition module architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 4 This is an architecture diagram of the weight detection module of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 5 This is a diagram of the intelligent shelf module architecture of a digital warehousing system for storing sanitation vehicle parts according to the present invention. Figure 6 This is a diagram of the logistics transmission module architecture of a digital warehousing system for storing sanitation vehicle parts according to the present invention. Figure 7 This is a lifecycle management module architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 8 This is a communication module architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 9 This is a lifecycle analysis unit architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention; Figure 10 This is an image acquisition unit architecture diagram of a digital warehousing system for storing sanitation vehicle parts according to the present invention. Detailed Implementation

[0029] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] To better understand the above technical solutions, the technical solutions of the present invention will be clearly and completely described below in conjunction with embodiments.

[0031] Please see the appendix Figure 1 - Appendix Figure 10 This invention provides a digital warehousing system for storing sanitation vehicle parts, comprising: The processing module is used to process various types of data in the warehousing system and issue control commands to various modules; The visual recognition module is used to collect image information of the appearance of parts and image information of their storage location. The weight detection module is used to detect the weight data of the parts; The intelligent shelving module is used to carry components and monitor the operating status of the shelving. Logistics transmission module, used for the inbound and outbound transportation of parts; The lifecycle management module is used to manage the lifecycle of components based on relevant data. The communication module is used for data transmission between the above modules.

[0032] Specifically, firstly, the visual recognition module collects image information of the appearance and storage location status of the parts, and the weight detection module simultaneously detects the weight data of the parts throughout the entire storage cycle; Afterwards, the visual recognition module and the weight detection module transmit the data they collect to the processing module through the communication module. The processing module processes the received data, including extracting the appearance and storage location features of the parts from the image information and calibrating the weight data. The processed data is then associated with the unique identifier of the parts and stored. Based on the processed data, the processing module issues a storage location allocation instruction to the intelligent shelf module. The intelligent shelf module adjusts the storage location according to the instruction and feeds back its own operating status to the processing module. At the same time, the processing module sends a transportation instruction to the logistics transmission module. The logistics transmission module executes the inbound and outbound transportation operations of the parts and sends back the relevant information during the transportation process to the processing module. After the processing module integrates the historical and current data of the components, it transmits the data to the lifecycle management module through the communication module. The lifecycle management module analyzes the data, calculates the wear rate of the components and generates a weight loss curve, assesses the remaining lifespan, and feeds the assessment results back to the processing module. Based on the evaluation results of the lifecycle management module, the processing module dynamically adjusts the storage location priority of the smart shelf module and triggers the corresponding early warning mechanism. The communication module transmits various data between modules throughout the process.

[0033] The processing module includes a data processing unit, an instruction generation unit, and a storage unit. The data processing unit is used to analyze and process the data transmitted by the vision recognition module and the weight detection module. The instruction generation unit is used to generate control instructions for the intelligent shelf module and the logistics transmission module based on the data processing results. The storage unit is used to store various real-time and historical data of the components.

[0034] Specifically, the data processing unit is connected to the feature extraction unit of the visual recognition module and the weight data transmission unit of the weight detection module via a wired communication unit of the communication module. It receives component appearance feature data and warehouse location status feature data transmitted by the feature extraction unit, as well as weight data transmitted by the weight data transmission unit. The data processing unit analyzes the appearance feature data using a feature matching algorithm to extract key parameters such as wear areas and scratch lengths of the components; it also performs temperature compensation processing on the weight data, using the following compensation formula: W 补 =W 测 -k×(TT 标 ); Among them, W 补 For the compensated weight data, W 测 The weight data is measured by the weighing unit, k is the temperature coefficient, and T is the ambient temperature during measurement. 标 For standard temperatures, the data processing unit and the instruction generation unit are connected via a ribbon cable to transmit the processed data to the instruction generation unit. The data processing unit is also connected to the storage unit to transmit the processed real-time data for storage. The instruction generation unit is connected to the status monitoring unit of the intelligent shelf module and the drive control unit of the logistics transmission module via communication modules. Based on the data processing results, it generates storage location adjustment instructions and transportation route instructions and transmits them to the corresponding units. The storage unit is connected to the data receiving unit of the lifecycle management module via a communication module, thus providing historical and real-time data of the components.

[0035] The visual recognition module includes an image acquisition unit, an image preprocessing unit, and a feature extraction unit. The image acquisition unit is used to capture images of the appearance of the parts and the status of the storage location. The image preprocessing unit is used to perform noise reduction and enhancement processing on the images acquired by the image acquisition unit. The feature extraction unit is used to extract the appearance features of the parts and the status features of the storage location from the preprocessed images.

[0036] Specifically, the image acquisition unit and the image preprocessing unit are connected via a data line. The acquired raw image data is transmitted to the image preprocessing unit, which uses a Gaussian filtering algorithm to reduce noise in the raw image with a filter kernel size of 5×5. Then, a histogram equalization algorithm is used to enhance the image and improve its contrast. The processed image data is transmitted to the feature extraction unit, which is connected to the image preprocessing unit. The feature extraction unit uses the SIFT algorithm to extract the appearance features of the parts and the status features of the storage location from the preprocessed image. The feature extraction unit is connected to the data processing unit of the processing module via a wired communication unit of the communication module, transmitting the extracted feature data to the data processing unit.

[0037] The weight detection module includes a weighing unit and a weight data transmission unit. The weighing unit is used to measure the weight of sanitation vehicle parts entering, leaving and being stored in the warehouse, while the weight data transmission unit is used to send the weight data acquired by the weighing unit to the storage unit.

[0038] Specifically, the weighing unit and the weight data transmission unit are connected via signal lines. The weighing unit uses a strain gauge load cell to convert the weight of the components into an electrical signal and transmit it to the weight data transmission unit. The weight data transmission unit performs an A / D conversion on the received electrical signal, converting the analog signal into digital weight data. The weight data transmission unit is connected to the storage unit of the processing module via a wired communication unit of the communication module, sending the converted weight data to the storage unit and simultaneously transmitting the weight data to the data processing unit for processing.

[0039] The intelligent shelving module includes a shelving body unit, a status monitoring unit, and a storage location identification unit. The shelving body unit is used to place sanitation vehicle parts, the status monitoring unit is used to monitor the load-bearing weight of the shelving body unit and the temperature and humidity of the environment, and the storage location identification unit is used to uniquely identify each storage location on the shelving body unit.

[0040] Specifically, the rack body unit and the status monitoring unit are connected via sensor cables. The weight sensors of the status monitoring unit are installed under each pallet layer of the rack body unit to monitor the load-bearing weight of that layer. The temperature and humidity sensors are installed on the uprights of the rack body unit to monitor the temperature and humidity of the environment in which the rack is located. The status monitoring unit is connected to the instruction generation unit of the processing module via a communication module, receiving storage location adjustment instructions sent by the instruction generation unit and feeding back the monitored load-bearing weight, temperature and humidity data to the data processing unit. The storage location identification unit uses RFID tags, with each tag corresponding to a storage location on the rack body unit. The tag contains information such as the storage location number and maximum load-bearing weight. The storage location identification unit is connected to the storage unit via a communication module and periodically synchronizes the storage location information to the storage unit.

[0041] The logistics transmission module includes a transportation unit, a drive control unit, and a positioning unit. The transportation unit is used to carry parts and move them, the drive control unit is used to drive the transportation unit to move along a set path, and the positioning unit is used to obtain the location information of the transportation unit in real time.

[0042] Specifically, the positioning unit and the drive control unit are connected via a data cable. The BeiDou positioning technology is used to obtain the real-time location coordinates of the transport unit, and this location information is transmitted to the drive control unit. The drive control unit is connected to the drive motor of the transport unit. Based on the instructions from the processing module, it generates the set path sent by the unit and the location information transmitted by the positioning unit. A PID control algorithm is used to adjust the speed and direction of the drive motor. The control formula is as follows: Where u(t) is the control output, K p K is the proportionality coefficient. i K is the integral coefficient. d Here, e(t) is the differential coefficient, and e(t) is the position deviation. The drive control unit and the instruction generation unit of the processing module are connected through the wireless communication unit of the communication module to receive the set path instruction. The transportation unit realizes the movement and transportation under the drive control unit to complete the inbound and outbound operations of parts.

[0043] The lifecycle management module includes a data receiving unit, a lifecycle analysis unit, and an information output unit. The data receiving unit is used to receive component data transmitted from the storage unit in the processing module. The lifecycle analysis unit is used to determine the lifecycle stage of the sanitation vehicle components based on historical and real-time data. The information output unit is used to send the determination results of the lifecycle analysis unit to the processing module.

[0044] Specifically, the data receiving unit is connected to the storage unit of the processing module via a communication module, receiving historical appearance feature data, historical weight data, real-time appearance feature data, and real-time weight data of the parts transmitted by the storage unit. The data receiving unit is connected to the life cycle analysis unit via an internal bus, transmitting the received data to the life cycle analysis unit. The life cycle analysis unit analyzes the received data to determine whether the parts are in the new part stage, stable stage, wear and tear stage, or pre-scrap stage. The life cycle analysis unit is connected to the information output unit, transmitting the determination results to the information output unit. The information output unit is connected to the instruction generation unit of the processing module via a communication module, sending the determination results to the instruction generation unit to provide a basis for instruction generation.

[0045] The communication module includes a wired communication unit and a wireless communication unit. The wired communication unit is used for short-range data transmission between modules via a wired network, while the wireless communication unit is used for long-range data transmission between modules via a wireless network.

[0046] Specifically, the wired communication unit uses the Ethernet protocol and connects to the processing module, visual recognition module, weight detection module, smart shelf module, and lifecycle management module for short-range data transmission. The wireless communication unit uses LoRa wireless communication technology and connects to the processing module and logistics transmission module for long-range data transmission. Spread spectrum technology is used to improve anti-interference capabilities. The wired and wireless communication units work together to ensure that data between modules can be transmitted efficiently by selecting the appropriate transmission method according to the distance.

[0047] The lifecycle analysis unit includes a wear analysis subunit, a weight decay subunit, and a life prediction subunit. The wear analysis subunit is used to compare the historical appearance image data transmitted by the storage unit and calculate the surface wear change rate. The weight decay subunit is used to analyze the historical weight data transmitted by the storage unit and generate a material loss curve. The life prediction subunit is used to fuse the wear change rate and the material loss curve and output the remaining life estimate.

[0048] Specifically, the wear analysis subunit is connected to the storage unit via a data interface to acquire component appearance image data at different time points. The surface wear area is calculated through image comparison, and the surface wear change rate is calculated using the following formula: Where R w S0 represents the surface wear change rate (in % / day), and S0 represents the initial intact surface area (in mm). 2 ), S n The surface integrity area at the nth test (unit: mm) 2 ), where t is the time interval (in days) from the initial detection to the nth detection. The weight attenuation subunit is connected to the storage unit to acquire historical weight data. An exponential fitting method is used to generate the material loss curve, with the formula: W t =W0×e -kt ; Among them W t Let Wt be the weight at time t (in kg), W0 be the initial weight (in kg), k be the decay coefficient (in 1 / day), and t be the time (in days). Both the wear analysis subunit and the weight decay subunit are connected to the life prediction subunit. The surface wear rate and material loss curve are transmitted to the life prediction subunit. The life prediction subunit uses a weighted summation algorithm to fuse the data. The remaining life estimation formula is: Where L r This is an estimate of remaining lifespan (in days), where a and b are weighting coefficients. This represents the percentage of weight loss.

[0049] The image acquisition unit includes a timed acquisition subunit and a trigger acquisition subunit. The timed acquisition subunit is used to acquire appearance images of parts at set time intervals, while the trigger acquisition subunit is used to acquire appearance images of parts when triggered at specific lifecycle nodes such as parts entering or leaving the warehouse.

[0050] Specifically, the timed acquisition subunit is connected to the instruction generation unit of the processing module, receives the time interval parameter set by the instruction generation unit, starts the camera to acquire images according to the time interval, and transmits the acquired image data to the image preprocessing unit. The trigger acquisition subunit is connected to the positioning unit of the logistics transmission module through a signal line. When the positioning unit detects that the transportation unit has arrived at the inbound / outbound position, it sends a trigger signal to the trigger acquisition subunit. After receiving the signal, the trigger acquisition subunit immediately starts the camera to acquire images and transmits the image data to the image preprocessing unit. The image data acquired by the timed acquisition subunit and the trigger acquisition subunit together provide the feature extraction unit with comprehensive image information of the component appearance, meeting the image acquisition needs in different scenarios.

[0051] First, the image acquisition unit of the vision recognition module acquires image information of the appearance and storage location status of the parts through the timed acquisition subunit and the triggered acquisition subunit, while the weighing unit of the weight detection module simultaneously detects the weight data of the parts throughout the entire storage cycle. Subsequently, the feature extraction unit of the visual recognition module extracts the image feature data, and the weight data transmission unit of the weight detection module transmits the weight data to the data processing unit of the processing module through the wired communication unit of the communication module. The data processing unit processes the received data, including extracting key features from the image information and calibrating the weight data, and then stores the processed data in the storage unit after associating it with the unique identifier of the component. Based on the processed data, the instruction generation unit of the processing module issues a storage location allocation instruction to the intelligent shelf module. The status monitoring unit of the intelligent shelf module adjusts the storage location according to the instruction and feeds back its own operating status to the data processing unit of the processing module. At the same time, the instruction generation unit of the processing module sends a transportation instruction to the logistics transmission module. The drive control unit of the logistics transmission module drives the transportation unit to perform the inbound and outbound transportation operations of parts. The positioning unit obtains the location information of the transportation unit in real time and sends it back to the processing module. After the data processing unit of the processing module integrates the historical and current data of the components, it transmits the data to the data receiving unit of the life cycle management module through the communication module. The life cycle analysis unit of the life cycle management module analyzes the data, the wear analysis subunit calculates the wear rate of the components, the weight decay subunit generates the weight loss curve, and the life prediction subunit evaluates the remaining life and feeds back the evaluation results to the processing module through the information output unit. The instruction generation unit of the processing module dynamically adjusts the storage location priority of the smart shelf module based on the evaluation results of the lifecycle management module, and triggers the corresponding early warning mechanism. The communication module transmits various data between modules throughout the process.

[0052] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A digital warehousing system for storing sanitation vehicle parts, characterized in that, include: The processing module is used to process various types of data in the warehousing system and issue control commands to various modules; The visual recognition module is used to collect image information of the appearance of parts and image information of their storage location. The weight detection module is used to detect the weight data of the parts; The intelligent shelving module is used to carry components and monitor the operating status of the shelving. Logistics transmission module, used for the inbound and outbound transportation of parts; The lifecycle management module is used to manage the lifecycle of components based on relevant data. The communication module is used for data transmission between the above modules.

2. The digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The processing module includes a data processing unit, an instruction generation unit, and a storage unit. The data processing unit is used to analyze and process the data transmitted by the visual recognition module and the weight detection module. The instruction generation unit is used to generate control instructions for the intelligent shelf module and the logistics transmission module based on the data processing results. The storage unit is used to store various real-time and historical data of the components.

3. The digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The visual recognition module includes an image acquisition unit, an image preprocessing unit, and a feature extraction unit. The image acquisition unit is used to capture images of the appearance of the parts and the status of the storage location. The image preprocessing unit is used to perform noise reduction and enhancement processing on the images acquired by the image acquisition unit. The feature extraction unit is used to extract the appearance features of the parts and the status features of the storage location from the preprocessed images.

4. The digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The weight detection module includes a weighing unit and a weight data transmission unit. The weighing unit is used to measure the weight of sanitation vehicle parts entering, leaving and being stored. The weight data transmission unit is used to send the weight data acquired by the weighing unit to the storage unit.

5. A digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The intelligent shelf module includes a shelf body unit, a status monitoring unit, and a storage location identification unit. The shelf body unit is used to place sanitation vehicle parts, the status monitoring unit is used to monitor the load-bearing weight of the shelf body unit and the temperature and humidity of the environment, and the storage location identification unit is used to uniquely identify each storage location on the shelf body unit.

6. A digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The logistics transmission module includes a transportation unit, a drive control unit, and a positioning unit. The transportation unit is used to carry parts and move them for transportation. The drive control unit is used to drive the transportation unit to move along a set path. The positioning unit is used to obtain the location information of the transportation unit in real time.

7. A digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The lifecycle management module includes a data receiving unit, a lifecycle analysis unit, and an information output unit. The data receiving unit is used to receive component data transmitted by the storage unit in the processing module. The lifecycle analysis unit is used to determine the lifecycle stage of the sanitation vehicle components based on historical and real-time data. The information output unit is used to send the determination result of the lifecycle analysis unit to the processing module.

8. A digital warehousing system for storing sanitation vehicle parts according to claim 1, characterized in that, The communication module includes a wired communication unit and a wireless communication unit. The wired communication unit is used for short-range data transmission between modules via a wired network, and the wireless communication unit is used for long-range data transmission between modules via a wireless network.

9. A digital warehousing system for storing sanitation vehicle parts according to claim 7, characterized in that, The life cycle analysis unit includes a wear analysis subunit, a weight decay subunit, and a life prediction subunit. The wear analysis subunit is used to compare historical appearance image data transmitted by the storage unit and calculate the surface wear change rate. The weight decay subunit is used to analyze historical weight data transmitted by the storage unit and generate a material loss curve. The life prediction subunit is used to fuse the wear change rate and the material loss curve and output the remaining life estimate.

10. A digital warehousing system for storing sanitation vehicle parts according to claim 3, characterized in that: The image acquisition unit includes a timed acquisition subunit and a triggered acquisition subunit. The timed acquisition subunit is used to acquire appearance images of parts at set time intervals, and the triggered acquisition subunit is used to acquire appearance images of parts when triggered at specific life cycle nodes such as parts entering or leaving the warehouse.

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