CN-121972416-A - Digital sorting system for new energy heavy cardboard spring waste and green regeneration process

CN121972416ACN 121972416 ACN121972416 ACN 121972416ACN-121972416-A

Abstract

The application discloses a digital sorting system and a green regeneration process of new energy heavy cardboard spring waste, wherein the digital sorting system comprises a leaf spring waste pretreatment unit, a multidimensional digital detection module, an AI intelligent sorting decision unit and an accurate sorting executing mechanism which are sequentially linked, and the pretreatment unit is suitable for removing greasy dirt, rust and attached impurities on the surface of the leaf spring waste and carrying out preliminary disassembly on the integrated leaf spring waste. The accurate sorting executing mechanism is used for sorting the objects according to the sorting instruction. According to the application, four types of core data including metal components, mechanical residual performance, surface defects and internal defects of the leaf spring waste are synchronously collected through the multi-dimensional digital detection module, and intelligent decision is carried out by combining a fusion model of a convolutional neural network and a gradient lifting tree.

Inventors

SUN HAIYAN
GAO CHANGLONG
DING YUANLIN
TANG LIHUI
WU BING
WANG LIN
WU FENG
LI JUNTAO

Assignees

安徽红旗弹簧有限公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (10)

1. The new energy heavy-duty plate spring waste digital sorting system is characterized by comprising a plate spring waste pretreatment unit, a multidimensional digital detection module, an AI intelligent sorting decision unit and a precise sorting executing mechanism which are sequentially linked; the pretreatment unit is suitable for removing greasy dirt, rust and attached impurities on the surface of the leaf spring waste, and performing primary disassembly on the integrated leaf spring waste; the multidimensional digital detection module is suitable for synchronously collecting four types of core data including metal components, mechanical residual performance, surface defects and internal defects of leaf spring waste materials and size and shape; The AI intelligent sorting decision unit is suitable for carrying out real-time comprehensive analysis on the multi-dimensional detection data and outputting a grading sorting instruction based on the trained mixed algorithm model; The accurate sorting executing mechanism is suitable for correspondingly sorting the leaf spring waste into three types of directly renewable materials, renewable materials needing modification and nonrenewable waste according to sorting instructions.
2. The digital sorting system of the new energy heavy cardboard spring waste according to claim 1, wherein the multi-dimensional digital detection module comprises an X-ray fluorescence spectrum metal analyzer, an ultrasonic residual stress detector, an industrial CT defect scanning assembly and a laser three-dimensional size measuring instrument; The X-ray fluorescence spectrum metal analyzer, the ultrasonic residual stress detector, the industrial CT defect scanning assembly and the laser three-dimensional size measuring instrument are sequentially and fixedly arranged at a continuous detection station of a waste conveying line according to sequential logic of a leaf spring waste detection flow, the laser three-dimensional size measuring instrument is used for completing preliminary judgment of size and shape, and then the X-ray fluorescence spectrum metal analyzer, the ultrasonic residual stress detector and the industrial CT defect scanning assembly synchronously perform core index detection; the continuous detection station is linked with the waste conveying line to start and stop intermittently, and the detection actions of the X-ray fluorescence spectrum metal analyzer, the ultrasonic residual stress detector, the industrial CT defect scanning assembly and the laser three-dimensional size measuring instrument are precisely matched with the start and stop of the waste conveying line, and are communicated with each other in real time according to a unified data protocol through an industrial Ethernet bus and synchronously transmitted to the AI intelligent sorting decision unit.
3. The digital sorting system of the new energy heavy cardboard spring waste according to claim 1, wherein the hybrid algorithm model of the AI intelligent sorting decision unit is a fusion model of a convolutional neural network and a gradient lifting tree; the convolutional neural network comprises an input layer, a convolutional layer, a pooling layer and a full-connection layer, and is suitable for carrying out noise reduction, feature mapping and high-dimensional feature fusion processing on multi-dimensional detection data; The gradient lifting tree comprises a decision tree base model and a gradient lifting frame, is suitable for classifying and deciding fusion characteristics output by the convolutional neural network, and establishes a corresponding relation between the characteristics and the classification grade; the mixed algorithm model adopts a feature layer fusion mode, high-dimensional features output by the convolutional neural network are directly input into a decision layer of the gradient lifting tree, and training data are derived from leaf spring waste detection sample sets with different service years and different damage degrees.
4. The digital sorting system of the new energy heavy cardboard spring waste according to claim 1, wherein the precise sorting executing mechanism adopts a six-degree-of-freedom mechanical arm driven by a servo motor, is provided with an electromagnetic adsorption and vacuum adsorption dual-mode gripper, and the vacuum adsorption dual-mode gripper is suitable for automatically switching an adsorption mode according to the weight and the size of the leaf spring waste.
5. The digital sorting system of the new energy heavy cardboard spring waste according to claim 1, wherein the leaf spring waste pretreatment unit comprises a mechanical shearing and disassembling device, a neutral high-pressure spraying device and a hot air circulation drying device; the mechanical shearing and disassembling device is provided with shearing cutters with adjustable intervals, and is suitable for sectionally disassembling the integrated leaf spring waste materials with different specifications; The neutral high-pressure spray device is provided with a multidirectional adjustable spray header, adopts a neutral cleaning agent with the pH value of 7-8, and is suitable for removing attachments on the surface of the leaf spring waste material through high-pressure spraying; The hot air circulation drying device is internally provided with an electric heating component and a closed-loop airflow circulating fan, and is suitable for drying sprayed leaf spring waste.
6. The system for digitally sorting new energy heavy cardboard spring waste according to claim 1, further comprising a digital traceability unit; the digital traceability unit comprises a batch identification generation module, a data storage module and a data query and export module, wherein: the batch identification generation module is suitable for distributing unique two-dimensional codes or RFID identifications to each batch of leaf spring waste; the data storage module is suitable for storing detection original data, sorting grade results, regeneration processing link information and final quality detection reports of each batch of waste in an associated mode; The data query export module is adapted to retrieve corresponding full flow data via the lot identification and support export of standardized data files.
7. A green recycling process of a digital sorting system based on the new energy heavy cardboard spring waste material according to any one of claims 1 to 6, characterized by comprising the following steps: s1) adopting the digital sorting system to finish the sorting of the leaf spring waste; s2) carrying out low-temperature environment-friendly oil and rust removal treatment on the separated directly renewable materials to remove surface residual impurities; S3) uniformly mixing the treated directly renewable material with a custom alloy additive, and feeding the mixture into a low-oxygen medium-frequency induction furnace for smelting; s4) pouring and forming the smelted alloy liquid through a continuous casting process to prepare a regenerated plate spring blank; S5) carrying out tempering heat treatment and surface strengthening treatment on the regenerated plate spring blank in sequence to obtain a regenerated plate spring finished product meeting the use requirement of the new energy heavy truck.
8. The green regeneration process of the digital sorting system for the new energy heavy cardboard spring waste according to claim 7, wherein the alloy additive in the step S3 is a chromium-nickel-vanadium composite alloy, and the smelting process of the low-oxygen intermediate frequency induction furnace adopts inert gas protection; The addition amount of the customized alloy additive is adaptively adjusted according to a metal component detection result of the directly renewable material, the metal component detection result is based on a component standard of a new energy heavy-duty plate spring regeneration base material, if the detection shows that the chromium content in the directly renewable material is lower than the reference value, the ratio of chromium in the composite alloy is increased according to the difference ratio of the deficient part, if the nickel content is lower than the reference value, the ratio of nickel in the composite alloy is increased according to the corresponding difference ratio, and if the vanadium content does not reach the reference value, the proportion of vanadium in the composite alloy is supplemented according to the deficiency ratio; The smelting temperature is set to be the temperature of a zone where the chromium-nickel-vanadium composite alloy and the reclaimed materials are fused, the heat preservation time is set according to the feeding amount of the directly renewable materials and the uniformity requirement of the smelting alloy liquid, the feeding amount is correspondingly matched with the heat preservation time according to the gradient zone of the rated capacity of a single furnace, meanwhile, the smelting alloy liquid is monitored in a mode of combining on-line spectral analysis and sampling detection, when the component deviation of the detected and displayed alloy liquid is less than or equal to +/-0.1% and the fluidity reaches the preset standard, the heat preservation is stopped, and if the component deviation is not reached, the heat preservation time is prolonged according to the set gradient until the requirement is met.
9. The green recycling process of the digital sorting system for the new energy heavy cardboard spring waste according to claim 7, wherein the tempering heat treatment in the step S5 comprises a quenching process and a tempering process which are continuously performed, and the surface strengthening treatment is supersonic plasma spraying of an Al 2 O 3 -TiO 2 ceramic coating; The ceramic coating forms a compact coating on the surface of the regenerated blank through supersonic plasma spraying equipment, and the spraying raw material is Al 2 O 3 -TiO 2 composite ceramic powder.
10. The green regeneration process of the digital sorting system for the new energy heavy cardboard spring waste material, which is disclosed in claim 7, is characterized in that the waste water generated in the step S2 is recycled after three-stage treatment of flocculation precipitation process, precise filtration process and active carbon adsorption process; according to the purifying progressive logic, a flocculating agent is added into the three-stage treatment system to remove suspended pollutants through a flocculation precipitation process, fine impurities are intercepted through a filtering membrane through a precise filtering process, and finally soluble pollutants are deeply removed through an activated carbon adsorption process; And (3) the flue gas generated in the step (S3) is discharged after being treated by a desulfurization and denitrification integrated device, and the desulfurization and denitrification integrated device sequentially completes desulfurization and denitrification treatment according to the flue gas purification sequence by adopting a combination mode of a dry desulfurization process and a selective catalytic reduction and denitrification process.

Description

Digital sorting system for new energy heavy cardboard spring waste and green regeneration process Technical Field The invention relates to the technical field of new energy, in particular to a digital sorting system and a green regeneration process for new energy heavy cardboard spring waste. Background The new energy heavy-clamping plate spring is used as a core bearing component, the complex alternating load and the severe working condition are required to be born in the service process, and the scrapped plate spring waste is rich in high-quality steel resources and has high regeneration value. In the prior art, the treatment of the leaf spring waste mainly comprises two major links of sorting and regeneration, wherein the sorting link mainly depends on manual visual inspection, simple mechanical screening or single index rapid detection, for example, sorting is finished only through appearance form judgment or rough detection of metal components, the regeneration link generally adopts a mode of mixed smelting and standardized heat treatment, namely, the sorted waste is directly mixed and put into a smelting furnace for smelting, and then heat treatment and surface treatment are carried out according to fixed parameters, so that the targeted optimization of individual characteristics of the waste is lacked. The method has the obvious defects that firstly, the separation precision and efficiency are low, the influence of the manual separation on the subjective factors is large, the single index detection cannot comprehensively reflect key regeneration potential indexes such as metal components, mechanical residual performance and internal defects of waste materials, so that the limit of renewable materials, renewable materials to be modified and nonrenewable waste materials is fuzzy, or high-quality resource waste is caused, or poor waste materials are mixed into the materials to influence the quality of the renewable products, secondly, the digitization degree is low, the detection data, the separation result and the regeneration process links are mutually split, a cooperative decision mechanism is not available, the full-flow tracing function is lacked, the responsibility of the quality of the renewable products is difficult to trace, thirdly, the green performance and the suitability of the regeneration process are insufficient, the wastewater and flue gas treatment mode in the waste material pretreatment process is simple, the pollutant emission control effect is limited, meanwhile, the alloy additives are customized according to the difference of the metal components of the waste materials, the technological parameters such as smelting and heat treatment are fixed, the actual characteristics of the waste materials cannot be matched, and the indexes such as the mechanical performance and fatigue resistance of the regenerated leaf springs are difficult to meet the requirements of the use of a new-energy heavy card. Therefore, an integrated technical scheme integrating multidimensional digital detection, intelligent sorting decision and customized green regeneration is needed, so that the accurate sorting, efficient regeneration and environment-friendly treatment of the leaf spring waste are realized, the resource utilization rate is improved, the stable quality of regenerated products is ensured, and the core requirement of green development of new energy industry is met. Disclosure of Invention The invention aims to provide a digital sorting system and a green regeneration process for new energy heavy cardboard spring wastes, so as to solve the problems of the existing plate spring waste treatment technology in the background art. In order to achieve the above purpose, the invention provides a technical scheme that a new energy heavy cardboard spring waste digital sorting system and a green regeneration process comprise a leaf spring waste pretreatment unit, a multidimensional digital detection module, an AI intelligent sorting decision unit and a precise sorting executing mechanism which are sequentially linked; the pretreatment unit is suitable for removing greasy dirt, rust and attached impurities on the surface of the leaf spring waste, and performing primary disassembly on the integrated leaf spring waste; the multidimensional digital detection module is suitable for synchronously collecting four types of core data including metal components, mechanical residual performance, surface defects and internal defects of leaf spring waste materials and size and shape; The AI intelligent sorting decision unit is suitable for carrying out real-time comprehensive analysis on the multi-dimensional detection data and outputting a grading sorting instruction based on the trained mixed algorithm model; The accurate sorting executing mechanism is suitable for correspondingly sorting the leaf spring waste into three types of directly renewable materials, renewable materials needing modification and nonrenewable w