Relay dynamic warehousing and logistics path planning method considering oxidation factor

Abstract

This invention discloses a dynamic warehousing and logistics route planning method for relays that considers oxidation factors, relating to the field of logistics and supply chain management technology. By constructing a dynamic corrosion dose field, this invention transforms the intangible oxidation risk into a quantifiable and predictable decision-making basis that runs through the entire warehousing and logistics process, realizing full life-cycle management of relay product reliability. This method not only optimizes a single link, but also coordinates and connects preventive protection at the warehousing end with in-transit risk avoidance at the logistics end, ensuring quality consistency from warehousing to delivery, guaranteeing the product's factory quality and long-term performance. Furthermore, it proposes and applies dynamic adjustment mechanisms such as adaptive drift and risk momentum, thereby achieving proactive and preventive protection of product quality in uncertain environments, improving the supply chain's response speed and management efficiency in the face of environmental changes.

Description

Technical Field

[0001] This invention relates to the field of logistics and supply chain management technology, specifically to a relay-based dynamic warehousing and logistics route planning method that takes into account oxidation factors. Background Technology

[0002] As a critical electromechanical component, the surface condition of the metal contacts, the core part of a relay, directly determines its conductivity and service life. In modern industrial production and warehousing logistics systems, relays need to be stored in warehouses for extended periods and transported to customers through complex logistics networks. Environmental factors throughout the supply chain, such as temperature, humidity, and corrosive gases in the air, can cause irreversible oxidative damage to the relay contacts, thereby affecting the final reliability of the product.

[0003] Existing technologies, such as the invention patent applications related to logistics and supply chain management technologies disclosed in publication numbers CN111319905B, CN109359760B, and CN120258693B, demonstrate that current automated warehousing systems for the storage and logistics management of electronic components like relays primarily rely on principles such as space utilization, ease of access, or first-in, first-out (FIFO) management. Regarding logistics route planning, existing navigation and scheduling systems mainly optimize for the shortest transportation distance, the shortest time, or the lowest overall transportation cost. While some advanced warehouses are equipped with environmental monitoring systems, these systems typically exist as independent monitoring and alarm units, and their data is not deeply integrated with the core decision-making algorithms for warehouse management and logistics planning.

[0004] Therefore, existing technical solutions have significant shortcomings. First, warehouse management and logistics planning systems generally overlook the product's physicochemical characteristics and its specific environmental sensitivity when making decisions. Second, environmental monitoring is separated from core business processes, preventing environmental data from being transformed into proactive, preventative management strategies. Finally, the independent optimization of warehousing and logistics, lacking a unified data flow and decision-making collaboration mechanism aimed at ensuring product quality throughout its entire lifecycle, means that relays still face uncontrollable potential quality degradation risks during supply chain circulation. Summary of the Invention

[0005] The purpose of this invention is to provide a relay-based dynamic warehousing and logistics route planning method that takes into account oxidation factors, thereby solving the problems existing in the background art.

[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a method for dynamic warehousing and logistics route planning of relays considering oxidation factors, including: ST1, acquiring product oxidation parameters of the relay to be planned and real-time collected environmental perception data, wherein the product oxidation parameters characterize the sensitivity of the relay to oxidation reaction, and the environmental perception data includes warehousing environment data and logistics route environment data.

[0007] ST2. Based on the product oxidation parameters and the environmental perception data, establish and solve the functional relationship model for quantifying oxidation risk, and generate a dynamic corrosion dose field, which includes a storage corrosion dose subfield and a path corrosion dose subfield.

[0008] ST3. Based on the aforementioned warehouse corrosion dose quantum field, perform dynamic warehouse management and generate a warehouse strategy that includes a location allocation plan and dynamic adjustment instructions.

[0009] ST4. Based on the path corrosion dose quantum field and combined with the status information of the relays to be delivered determined by the warehousing strategy, perform logistics path planning and generate a delivery path scheme.

[0010] ST5. Integrate the warehousing strategy with the delivery route plan, and output the collaborative planning results.

[0011] By constructing the dynamic corrosion dose field and coordinating it with the product dose passport mechanism, unified quantification and dynamic avoidance of warehousing environment risks and logistics route risks are achieved. An adaptive drift mechanism enables real-time optimization of cargo location risks in the warehousing process. A risk momentum and in-transit dose neutralization mechanism enables dynamic risk avoidance along transportation routes in the logistics process. These mechanisms work together to solve the problem of oxidation risk accumulation caused by the disconnect between environmental data and business decisions, and independent optimization of warehousing and logistics, thus ensuring consistent quality throughout the entire process from warehousing to delivery.

[0012] The beneficial effects of this invention are as follows: (1) By constructing a dynamic corrosion dose field, this invention transforms the intangible oxidation risk into a quantifiable and predictable decision-making basis that runs through the entire process of warehousing and logistics, thereby realizing full life-cycle management of the reliability of relay products. This method not only optimizes a single link, but also coordinates and connects preventive protection at the warehousing end with risk avoidance in transit at the logistics end, ensuring the continuity of quality from warehousing to delivery, and guaranteeing the factory quality and long-term performance of the product.

[0013] (2) This invention proposes and applies dynamic adjustment mechanisms such as adaptive drift and risk momentum, which endow the entire supply chain system with adaptive adjustment capabilities. The system is no longer a passive executor based on static rules, but an intelligent agent that can perceive environmental changes in real time, predict risk trends, and take the best strategy proactively. In this way, it can achieve proactive and preventive protection of product quality in an uncertain environment, and improve the supply chain's response speed and management efficiency in the face of sudden environmental changes.

[0014] (3) This invention deeply integrates the two major modules of warehouse management and logistics planning through the product dosage passport as the core data carrier, forming a synergistic effect at the decision-making level. The optimization of warehousing strategy provides the logistics link with a better source of goods, while the risk constraints of logistics planning guide the picking priority of warehousing in turn. This two-way information flow and decision-making linkage makes the overall optimization effect far exceed the simple superposition of the independent optimization of each part, realizing cost reduction, efficiency improvement and quality improvement at the system level. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.

[0017] Figure 2 This is a flowchart of the dynamic warehouse management process of the present invention.

[0018] Figure 3 This is a flowchart of the logistics route planning process of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. 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.

[0020] Reference Figure 1As shown, the present invention provides a method for dynamic warehousing and logistics route planning of relays that considers oxidation factors, including: ST1, acquiring product oxidation parameters and real-time environmental sensing data of the relay to be planned, wherein the product oxidation parameters characterize the sensitivity of the relay to oxidation reactions, and the environmental sensing data includes warehousing environment data and logistics route environment data.

[0021] ST2. Based on the product oxidation parameters and the environmental perception data, establish and solve the functional relationship model for quantifying oxidation risk, and generate a dynamic corrosion dose field, which includes a storage corrosion dose subfield and a path corrosion dose subfield.

[0022] In a specific embodiment of the present invention, generating a dynamic corrosion dose field includes: establishing a functional relationship model for calculating the real-time equivalent corrosion dose rate based on the product oxidation parameters.

[0023] Specifically, to calculate and generate the dynamic corrosion dose field, a core functional relationship model is first constructed based on preset product oxidation parameters. This model aims to quantify multi-dimensional environmental factors into a single physical quantity characterizing corrosion intensity. The core of this model is an extended reaction rate equation, expressed as follows: , The result is the calculated real-time equivalent corrosion dose rate, expressed in nanometers per hour. Represents the pre-exponential factor. These two parameters, namely the activation energy and the oxidation reaction kinetics, together constitute the aforementioned kinetic parameters, determined by experimental data on relay contact materials. It is Boltzmann's constant. It is the absolute temperature of the environment. and These are functions of the effects of humidity and specific corrosive gas concentrations on the reaction rate, typically in the form of a power function, and their exponents are also preset as part of the product oxidation parameters.

[0024] It should be noted that the preset product oxidation parameters are specifically calibrated and preset based on the physicochemical properties of the core metal material of the relay contacts and a large amount of experimental data on oxidation reactions. The method is as follows: A1. For specific materials of relay contacts, such as copper-based and silver-based alloys, accelerated oxidation tests in the laboratory, combined with long-term exposure tests in actual warehousing and logistics environments, were used to calibrate the core parameter of oxidation reaction kinetics, the pre-exponential factor. Activation energy of reaction And use it as the basic product oxidation parameter for curing.

[0025] A2. Based on the influence of humidity and corrosive gas concentration on the oxidation reaction rate in the above experiments, a humidity influence function was fitted. Influence function of specific corrosive gas concentration The power function exponent is used as an important preset component of the product oxidation parameters.

[0026] A3. Classify the relays according to their model and contact material, and assign the calibrated index factor. Activation energy of reaction ,as well as , The power function exponents are integrated into a standardized parameter set to construct a product oxidation parameter library. Before practical application, based on the specific model of the relay to be planned, the corresponding parameters are retrieved from the parameter library as the preset product oxidation parameters and directly substituted into the function relationship model for calculation.

[0027] The calibration process for the above parameters all follows the principle of dimensional consistency. All parameter values ​​are determined by taking the average of multiple repeated experiments to ensure the accuracy and practicality of the preset parameters.

[0028] The environmental perception data is used as input into the functional relationship model to calculate the real-time equivalent corrosion dose rate of discrete sampling points in space.

[0029] Specifically, in the actual operation of the model, multi-dimensional environmental factor concentration data, i.e., the environmental sensing data, is collected from a sensor network deployed in the warehouse space or along the logistics path through an external data interface at a high frequency, such as 1 to 5 minutes. This includes temperature. ,humidity and the concentration of specific gases such as sulfides Using this real-time data as input, and substituting it into the aforementioned functional relationship model, the current real-time equivalent corrosion dose rate for each spatial location of the sensor is calculated. .

[0030] Spatial interpolation is performed on the real-time equivalent corrosion dose rate of the discrete sampling points to generate a continuous, indexable dynamic corrosion dose field.

[0031] It should be noted that, in order to generate a continuous field distribution, these discrete points are... The values ​​are processed on a preset geospatial grid. By applying spatial interpolation algorithms, such as Kriging interpolation or inverse distance weighting, the corrosion dose rate at any coordinate point within the grid is calculated, thereby generating a three-dimensional or two-dimensional data structure that can be queried and indexed by other modules of the system, namely the dynamic corrosion dose field. The dynamic corrosion dose field can be intuitively rendered as a risk heat map or directly used as numerical input for subsequent warehousing and route planning algorithms.

[0032] It should be noted that the path corrosion dose subfield and the storage corrosion dose subfield use the same functional relationship model and calculation generation process. The only difference between the two is the scene-specific difference in the input environmental perception data and the corresponding geospatial grid.

[0033] This invention transforms the intangible risk of oxidation into a quantifiable and predictable decision-making basis throughout the entire warehousing and logistics process by constructing a dynamic corrosion dosage field, thus achieving full lifecycle management of relay product reliability. This method not only optimizes a single link but also synergistically connects preventative protection at the warehousing end with in-transit risk avoidance at the logistics end, ensuring consistent quality from warehousing to delivery and guaranteeing the product's factory quality and long-term performance.

[0034] ST3. Based on the aforementioned warehouse corrosion dose quantum field, perform dynamic warehouse management and generate a warehouse strategy that includes a location allocation plan and dynamic adjustment instructions.

[0035] Reference Figure 2 As shown, in a specific embodiment of the present invention, the execution of dynamic warehouse management and the generation of a warehouse strategy including a location allocation scheme and dynamic adjustment instructions include: establishing and maintaining location status parameters for each location in the warehouse space, including the real-time corrosion dose rate of the location and the historical cumulative dose of the location, wherein the real-time corrosion dose rate of the location is obtained from the warehouse corrosion dose subfield.

[0036] Specifically, to implement the aforementioned dynamic warehouse management, the warehouse space is first digitally modeled, a unique digital identifier is established for each physical storage location, and a dynamically updated storage location status parameter is associated with this identifier. This parameter includes the real-time corrosion dose rate of the storage location, which is directly extracted from the field strength value of the corresponding three-dimensional coordinate point from the warehouse corrosion dose subfield and refreshed at a cycle of 1-5 minutes; it also includes the historical cumulative dose of the storage location, which is the cumulative integral of the real-time corrosion dose rate of the storage location over time, reflecting the long-term environmental risk exposure level of the location.

[0037] In engineering terms, the status parameters of this storage location constitute the foundational data layer of a real-time risk map. During the relay warehousing process, a product dosage passport attached to the relay batch packaging is obtained via RFID or QR code scanner. This passport is a structured data package. The historical cumulative corrosion dose is a quantitative record of the total amount of oxidation that the batch of products has endured during manufacturing and transportation. The dosage budget threshold is an engineering upper limit determined by the product's material properties and design life, representing its maximum tolerable corrosion dose within the performance compliance range.

[0038] Obtain the product dose passport for the relay to be put into storage. The product dose passport records the historical cumulative corrosion dose and dose budget threshold of the relay.

[0039] Based on the location status parameters and the product dosage passport, a location allocation scheme that meets the warehousing constraints is generated.

[0040] Specifically, the process of generating an initial storage location allocation scheme based on the storage location status parameters and the product dosage passport is a constrained optimization problem, and its objective function is... Defined as ,in It is the real-time corrosion dose rate of the candidate cargo location. These are operating cost parameters that represent factors such as access efficiency. and These are preset weighting coefficients used to balance product quality risk and operational efficiency. When solving for the location that minimizes the J value, a key constraint must be met: the sum of the historical cumulative corrosion dose of the relay to be put into storage and its dose increment during the estimated storage period in that candidate location must not exceed the dose budget threshold specified in its product dose passport.

[0041] After the relays are put into storage, the warehouse corrosion dose subfield is continuously monitored. When the real-time corrosion dose rate of the target storage location is detected to exceed the first threshold dynamically calculated based on the product dose passport of the relays stored in that storage location, an adaptive drift rule is triggered to generate the dynamic adjustment instruction for adjusting the storage location.

[0042] Specifically, after the relays are stored, the system enters a continuous monitoring phase, comparing the real-time corrosion dose rate of each storage location with the current status of the relays stored there. When the real-time corrosion dose rate of the target storage location is detected... Continuously exceeding a dynamically calculated first threshold When this happens, the adaptive drift rule will be triggered, with the first threshold being [a certain threshold]. ,in It is an engineering safety factor between 0.7 and 0.9. This is the dose budget threshold of the relay. This is its current accumulated corrosion dose. This is the planned remaining storage time. This threshold setting ensures the dynamic and forward-looking nature of risk warnings. Upon triggering, a local optimization decision is initiated, and an exchange assessment is launched with neighboring warehouses of the target warehouse. The assessment is based on the warehouse status parameters of the neighboring warehouses and the product dosage passports of the relays they store. If a warehouse that can reduce risk and has an acceptable exchange cost is found, a dynamic adjustment instruction containing information on the source warehouse and the target warehouse is generated and issued, completing a low-disturbance preventive warehouse adjustment.

[0043] This invention deeply integrates warehouse management and logistics planning modules through the core data carrier of product dosage passports, creating a synergistic effect at the decision-making level. Optimized warehousing strategies provide better-quality goods for the logistics process, while the risk constraints of logistics planning, in turn, guide the picking priorities in the warehouse. This two-way information flow and decision-making linkage makes the overall optimization effect far exceed the simple sum of independent optimizations of each part, achieving cost reduction, efficiency improvement, and quality enhancement at the system level.

[0044] In a specific embodiment of the present invention, the adaptive drift rule includes: when the target storage location triggers the drift condition, searching for its neighboring storage locations, and performing an exchange condition judgment on the neighboring storage locations that includes a dose budget margin and a planned outbound time verification.

[0045] Specifically, to accurately execute the adaptive drift rule, when the target location triggers the drift condition, the system will initiate a local, step-by-step optimization decision-making process. First, taking the target location that triggered the drift as the center, within its predefined neighborhood, typically the adjacent locations above, below, to the left, and to the right of the same shelf, a search for candidate locations is initiated. For each searched neighboring location, a series of condition checks are performed to determine whether it meets the exchange conditions. The first step of the check is to evaluate the dose budget margin of the relays stored there. Only when this margin is greater than a preset second threshold, such as greater than 20% of its initial total dose budget, will this check pass, ensuring that the relays still have sufficient safety redundancy after the exchange. The second step of the check is to evaluate its planned outbound time. Only when this time is earlier than a preset time threshold, such as within the next 24 hours, will this check pass, prioritizing locations that are about to leave the warehouse and are not sensitive to environmental changes.

[0046] Among the adjacent storage locations identified by the exchange criteria, they are ranked according to a scoring model that integrates risk and efficiency, and the optimal exchange partner is selected.

[0047] Specifically, after filtering out all nearby storage locations that meet the above exchange criteria, these candidate storage locations will be comprehensively ranked to select the optimal exchange partner. This ranking is based on a quantitative scoring model. In this model, For the overall score, The normalized risk score is calculated based on the real-time corrosion dose rate of the candidate cargo location. This score is inversely proportional to the real-time corrosion dose rate; that is, the lower the risk, the higher the score. The score is a normalized time rating calculated based on the planned outbound time. This value is inversely proportional to the remaining time; that is, the earlier the outbound time, the higher the score. and It is a weighting coefficient used to adjust the balance strategy between risk and efficiency. It can be adapted to the control priority of relay oxidation risk and the operational efficiency requirements of warehouse storage and retrieval in actual applications, and select the nearest storage location with the highest comprehensive score S as the optimal exchange object.

[0048] Generate and execute a location exchange operation with the optimal exchange partner, and synchronously update the location status parameters and product dosage passports of both parties in the exchange.

[0049] It should be added that if the adaptive drift rule does not find a neighboring storage location that meets the exchange conditions, a high-risk storage location warning will be generated and the storage location information will be recorded for subsequent manual verification.

[0050] This invention proposes and applies dynamic adjustment mechanisms such as adaptive drift and risk momentum, endowing the entire supply chain system with adaptive adjustment capabilities. The system is no longer a passive executor based on static rules, but an intelligent agent capable of sensing environmental changes in real time, predicting risk trends, and proactively adopting optimal strategies. Thus, in uncertain environments, it achieves proactive and preventative protection of product quality, improving the supply chain's response speed and management efficiency in the face of sudden environmental changes.

[0051] ST4. Based on the path corrosion dose quantum field and combined with the status information of the relays to be delivered determined by the warehousing strategy, perform logistics path planning and generate a delivery path scheme.

[0052] Reference Figure 3 As shown, in a specific embodiment of the present invention, the step of performing logistics route planning and generating a delivery route plan includes: obtaining risk momentum parameters characterizing the initial risk state of the batch of relays based on the product dose passport associated with the orders to be delivered.

[0053] Specifically, in order to execute the real-time logistics path planning that integrates risk avoidance, after receiving an order to be delivered, the system first retrieves the product dose passport of the relay associated with the order through an interface, reads its current cumulative corrosion dose, and uses this value as the momentum parameter of the initial risk state of the planning algorithm. This parameter defines the inherent risk state of the goods before transportation begins in engineering and serves as the benchmark for subsequent incremental calculations.

[0054] By combining the road network topology information required for logistics route planning, and based on the path corrosion dose subfield, a dynamic path risk network is constructed that correlates the weight of each road segment with the predicted corrosion dose rate.

[0055] The road network topology information includes the distribution of road network nodes, the connection relationship of road segments, and the basic traffic attributes of road segments.

[0056] Specifically, simultaneously, by integrating basic road network information and accessing meteorological and air quality forecast data for the next 24-72 hours, and combining this with a functional relationship model for calculating real-time equivalent corrosion dose rate, a time-varying predicted corrosion dose rate weight is dynamically assigned to each road segment in the network based on the path corrosion dose subfield. Thus, a dynamic path risk network encompassing time, cost, and risk dimensions is constructed, providing a decision-making environment for path search.

[0057] Guided by the combined objective of minimizing transportation costs and the increase in risk in transit, a path is searched in the dynamic path risk network to generate an initial delivery path.

[0058] Specifically, in the initial delivery route generation stage, a composite optimization objective function is used for route search. The expression is In this formula, It is the total transportation cost of a candidate route. It is a baseline value used for cost normalization, such as the average cost of a typical path between these origins. It is the total increase in corrosion dose expected to occur when traveling along this route, which is obtained by summing the predicted corrosion dose rates of each segment along the route by the expected travel time. It is the remaining dose budget for this batch of relays, that is, its dose budget threshold minus the risk momentum parameter of the initial risk state. and These are the strategy weight coefficients, satisfying... add The value is set to 1, used to adjust the optimization preference between cost and risk. It can be adapted to the specific application's priorities for controlling relay oxidation risk and logistics costs. A heuristic search algorithm is used to find the optimal path within this dynamic path risk network. Find the path sequence with the smallest value and use it as the initial delivery path.

[0059] During transportation along the initial delivery route, the predicted corrosion dose increment of the road segment ahead is dynamically evaluated. When it is determined that the increment will cause the total cumulative corrosion dose of the relay to exceed its dose budget threshold, a dynamic risk avoidance command is generated.

[0060] Specifically, after the vehicle departs, it enters a dynamic assessment cycle every 3-10 minutes. Based on the vehicle's real-time GPS location and updated environmental perception data, the predicted corrosion dose increment along the remaining initial delivery route is recalculated. When it is determined that the sum of the currently accumulated dose and the predicted corrosion dose increment will exceed the dose budget threshold of the relay, the dynamic risk avoidance mechanism is triggered. It automatically generates a dynamic risk avoidance instruction containing route replanning suggestions or in-transit dose neutralization suggestions, and pushes it to the driver through the vehicle terminal.

[0061] In a specific embodiment of the present invention, the dynamic risk avoidance instruction includes path replanning suggestions and in-transit dose neutralization suggestions. When in-transit dose neutralization is determined to be the optimal strategy, its specific generation content includes: querying the dynamic path risk network for a stop ahead that meets the set corrosion conditions, i.e., low corrosion conditions, based on the vehicle's current location.

[0062] Specifically, when the dynamic risk avoidance mechanism is triggered and the neutralization of the on-the-way dose is determined to be the optimal strategy, the engineering steps for generating the recommendations are as follows: Taking the vehicle's current location as the center, a forward spatial query is performed in the dynamic path risk network. The search radius is usually set to 50-100 kilometers to identify pre-registered rest stops along the route that have the ability to upload environmental data, such as specific service areas or indoor parking lots. These rest stops are then screened. The screening criterion is that the current real-time corrosion dose rate of the rest stop must be lower than a preset low corrosion condition threshold. This threshold is usually 10%-30% of the average predicted corrosion dose rate of the vehicle's original planned route for the next hour.

[0063] It should also be noted that after the dynamic risk avoidance mechanism is triggered, by comparing the effectiveness and feasibility of risk mitigation between in-transit dose neutralization and route replanning, in-transit dose neutralization is determined to be the optimal strategy. The specific determination logic is as follows: Judgment 1: Evaluate the implementation value of route replanning: If there is no available low-corrosion alternative route, or if replanning still cannot effectively avoid excessive corrosion dosage, or if replanning will lead to a significant increase in transportation costs / time and limited risk control effect, then route replanning is not optimal.

[0064] Judgment 2: Verify the implementation conditions of in-transit dose neutralization: Within a 50-100 km radius of the vehicle's current location, a pre-registered stop that meets the low corrosion threshold can be found, and calculations show that the stop can bring the total cumulative corrosion dose of the relay back to the dose budget threshold through a reasonable stay, thus achieving a practical neutralization effect.

[0065] Overall judgment: When path replanning is not optimal, and all the above implementation conditions for in-transit dose neutralization are met, in-transit dose neutralization is determined to be the optimal strategy.

[0066] If a docking point that meets the criteria is found, an instruction containing a recommended stay duration is generated. The recommended stay duration is calculated based on the corrosion dose to be exceeded and the environmental advantages of the docking point.

[0067] Specifically, the recommended stay duration is determined by the following formula. In this formula, The recommended dwell time is [represented by the user's name]. This is the total corrosion dose predicted by the system that would exceed the dose budget threshold if the original path were followed. This value is calculated in real time by the dynamic evaluation module. If the vehicle does not stop, in the next... The average predicted corrosion dose rate for vehicles traveling along the original planned path within the same time period. The real-time corrosion dose rate of the candidate stopping point is obtained directly from the dynamic corrosion dose field. The engineering significance of this formula is to calculate how long the low-risk environment of the stopping point needs to be utilized to bring the final cumulative corrosion dose back within the budget threshold by avoiding exposure to high-risk road sections.

[0068] Based on the actual dwell time after the command is executed, calculate the reduction in corrosion dose and use the reduction in corrosion dose to update the risk momentum parameter.

[0069] Specifically, the achieved reduction in corrosion dose is the difference between the corrosion dose that would have occurred if the relay had traveled along the originally planned path for the same actual dwell time, and the corrosion dose actually generated at the stop point. The calculation formula is as follows: ,in This is the amount of corrosion dosage reduction. This refers to the actual duration of stay. This represents the average predicted corrosion dose rate for the same period along the original planned path. The actual corrosion dose rate at the stop point is used to calculate the actual corrosion dose reduction based on the actual dwell time and the actual environmental data of the stop point during that period. This is then used to update the risk momentum parameters of the vehicle and cargo, thereby providing a corrected and more accurate risk benchmark for subsequent route planning.

[0070] It should be added that if the in-transit dose neutralization mechanism does not find a suitable stopping point, the route replanning process is initiated to find a low-corrosion alternative route; if the risk still cannot be avoided, a manual decision request is sent to the dispatch center.

[0071] In a specific embodiment of the present invention, the dynamic warehouse management and logistics route planning are coordinated through the product dose passport, specifically including: before executing the logistics route planning, generating a source query request containing the current cumulative corrosion dose of the relay and the dose budget margin requirement based on the estimated route corrosion dose increment.

[0072] Specifically, when the logistics planning system receives a new delivery order, it does not immediately perform route calculation. Instead, it first performs pre-planning, evaluating several benchmark routes, such as the shortest time route and the lowest cost route, to calculate an estimated increase in the distance corrosion dose. Based on this estimated value, the system sends a source query request with constraints to the warehouse management system. The core of the request is a filtering condition. Under this condition, This represents the current available dose budget margin for a particular batch of relays in inventory, obtained by subtracting the current cumulative corrosion dose from the dose budget threshold in its product dose passport. This is the estimated increase in corrosion dose during the journey, as predicted by the logistics system. It is an engineering safety factor between 1.1 and 1.3, used to reserve risk redundancy.

[0073] The estimated corrosion dose increment along the route is calculated based on the baseline path pre-planned for logistics, using the following formula: ,in For the estimated increase in corrosion dose during the journey, The engineering safety factor is 1.1-1.3. Let i be the predicted corrosion dose rate for the i-th road segment. Let be the estimated travel time for the i-th road segment, and n be the total number of road segments on a single baseline route. That is, first calculate the initial value of the corrosion dose increment of the baseline route, such as the shortest time and the lowest cost, take the maximum value, and then multiply it by the engineering safety factor to obtain the final estimated result.

[0074] The warehouse dynamic management system filters and selects relays that meet the requirements from the inventory based on the source query request, and synchronizes the updated product dosage passport of the batch of relays to the logistics route planning.

[0075] It should be noted that after receiving this request, the warehouse management system uses this condition as the core filter for database queries, screening all inventory batches that meet the order specifications. For multiple qualified batches, the system will execute an optimization strategy, such as prioritizing picking batches with sufficient dosage budget. The batch that best meets the criteria and is closest to the demand value is reserved to maintain the inventory with the highest risk tolerance for future, more demanding transportation tasks.

[0076] The logistics route planning is based on the synchronized product dosage passport to set the risk momentum parameters, and on this basis, the final delivery route plan is generated.

[0077] Specifically, once a particular batch is identified and selected, the warehouse management system immediately synchronizes the updated product dosage passport for that batch of relays to the logistics planning system via a system interface. Upon receiving this precise, rather than estimated, source status data, the logistics planning system uses the recorded actual current cumulative corrosion dose to initialize the risk momentum parameters for this transportation task. Finally, based on these precise risk momentum parameters characterizing the initial risk state of the batch of relays, the system performs the final route planning calculation, generating an optimized delivery route plan that perfectly matches the actual risk state of the transported goods.

[0078] ST5. Integrate the warehousing strategy with the delivery route plan, and output the collaborative planning results.

[0079] In a specific embodiment of the present invention, the method further includes a reverse collaborative process, comprising: when receiving a relay returned from an external source, reading its product dose passport to obtain its historical cumulative corrosion dose.

[0080] Specifically, to achieve a reverse collaborative process for returned or repaired relays, the system integrates a data acquisition terminal at the receiving station. When the physical relays returned from the outside arrive, the operator can trigger the system to retrieve and read the product dose passport bound to the relay by scanning the barcode or RFID tag on its packaging. The core input of this process is the historical cumulative corrosion dose recorded in the passport, representing the total environmental exposure from the time the relay leaves the factory to the time it is returned.

[0081] The historical cumulative corrosion dose is compared with the warning threshold used to characterize the risk of oxidative corrosion to generate a risk assessment result.

[0082] It should be noted that the warning threshold for characterizing oxidation and corrosion risk is not a fixed value, but is dynamically set according to the product oxidation parameters of the relay model, typically between 70% and 90% of its total dose budget threshold. If the judgment result shows that the historical cumulative corrosion dose of the relay has exceeded this warning threshold, the system will mark the material unit as a high-risk item.

[0083] If the risk assessment result is high risk, a high-protection-level storage location will be allocated to it based on the storage corrosion dose quantum field, and an instruction to trigger the priority quality inspection process will be generated.

[0084] It should be noted that when the risk assessment result is high risk, two parallel automated instructions will be executed immediately. First, the warehouse dynamic management module will intervene in the standard inbound allocation process, query the real-time warehouse corrosion dose quantum field, and lock the available storage location with the lowest current field strength value, i.e., the high protection level storage location, and directly generate a put-away instruction pointing to that specific storage location. Second, at the same time, a high-priority task will be sent to the quality management module to automatically generate a priority quality inspection process associated with the relay's unique identifier, ensuring that the high-risk product can receive professional physical performance testing as soon as possible, so as to avoid it being mistakenly re-included in the qualified product inventory without confirmation.

[0085] In a specific embodiment of the present invention, after the collaborative planning result is executed, the method further includes: collecting actual environmental data and relay status data during the warehousing and logistics execution process to form a feedback dataset.

[0086] The model used to generate the dynamic corrosion dose field is corrected by using the deviation between the actual environmental data and the predicted environmental data in the feedback dataset.

[0087] Specifically, during warehousing and logistics operations, real-time environmental data collected by vehicle-mounted or warehouse-in-warehouse sensors is continuously recorded and spatiotemporally aligned with the predicted environmental data generated during the planning phase. By calculating the deviation vector between these two datasets, the systematic error of the prediction model for the dynamic corrosion dose field can be quantified. In a pre-defined evaluation cycle, such as weekly, the accumulated deviation vector is used to iteratively update the parameters of the prediction model for the dynamic corrosion dose field, such as weather model weights or local microenvironment correction coefficients, using machine learning algorithms such as gradient descent or recursive least squares, thereby improving the accuracy of future corrosion dose field predictions.

[0088] The product oxidation parameters or the dose budget threshold are optimized by utilizing the deviation between the relay status data in the feedback dataset and the predicted status based on the product dose passport.

[0089] Specifically, key relay status data is obtained from the quality management process. This data originates from sampled physical inspections of relays that have completed their storage or transportation cycles, such as the actual contact oxide layer thickness obtained through microscopic analysis or the contact resistance increment obtained through electrical performance testing. This relay status data, representing actual physical damage, is correlated with the final cumulative corrosion dose recorded in the product dose passport for that batch of relays, forming a calibration dataset containing inputs and outputs. Regression analysis is performed using this dataset to verify and calibrate the accuracy of the product oxidation parameters. If the analysis finds that, under the same cumulative corrosion dose, the actual damage level is systematically higher or lower than the model expectation, the oxidation reaction kinetic parameters of that relay model will be fine-tuned. Furthermore, if multiple batches of relays are found to have performance defects before the cumulative corrosion dose reaches their dose budget threshold, the system will trigger a reassessment and downward adjustment of the dose budget threshold for that relay model, thereby ensuring that the decision-making benchmark of the entire planning system remains dynamically consistent with physical reality.

[0090] It should also be noted that the various threshold values ​​involved in this invention, such as the first threshold and the warning threshold, are set based on the oxidation kinetics of the relay contact material. Corrosion data is obtained through accelerated aging and long-term exposure tests, and is comprehensively calibrated in conjunction with historical failure cases, industry standards, and expert experience to ensure that the threshold values ​​are both scientifically sound and engineeringly practical. The relevant methods are already maturely applied in this field.

[0091] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0092] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0093] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of protection of the claims.

[0094] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A relay-based dynamic warehousing and logistics route planning method considering oxidation factors, characterized in that, include: ST1. Obtain the product oxidation parameters and real-time environmental sensing data of the relay to be planned. The product oxidation parameters characterize the sensitivity of the relay to oxidation reactions, and the environmental sensing data includes warehousing environment data and logistics route environment data. ST2. Based on the product oxidation parameters and the environmental perception data, establish and solve the functional relationship model for quantifying oxidation risk, and generate a dynamic corrosion dose field, which includes a storage corrosion dose subfield and a path corrosion dose subfield. ST3. Based on the aforementioned warehouse corrosion dose quantum field, perform dynamic warehouse management and generate a warehouse strategy that includes a location allocation plan and dynamic adjustment instructions. ST4. Based on the path corrosion dose quantum field and combined with the status information of the relays to be delivered determined by the warehousing strategy, perform logistics path planning and generate a delivery path scheme. ST5. Integrate the warehousing strategy with the delivery route plan, and output the collaborative planning results.

2. The relay-based dynamic warehousing and logistics route planning method considering oxidation factors according to claim 1, characterized in that, The generation of the dynamic corrosion dose field includes: Based on the oxidation parameters of the product, a functional relationship model is established for calculating the real-time equivalent corrosion dose rate; The environmental perception data is used as input into the functional relationship model to calculate the real-time equivalent corrosion dose rate of discrete sampling points in space. Spatial interpolation is performed on the real-time equivalent corrosion dose rate of the discrete sampling points to generate a continuous, indexable dynamic corrosion dose field.

3. The relay-based dynamic warehousing and logistics route planning method considering oxidation factors according to claim 1, characterized in that, The execution of dynamic warehouse management generates a warehouse strategy that includes a location allocation plan and dynamic adjustment instructions, including: Establish and maintain storage location status parameters for each storage location in the storage space, including the real-time corrosion dose rate and the historical cumulative dose of the storage location, wherein the real-time corrosion dose rate is obtained from the storage corrosion dose subfield; Obtain the product dose passport for the relay to be put into the warehouse. The product dose passport records the historical cumulative corrosion dose and dose budget threshold of the relay. Based on the location status parameters and the product dosage passport, a location allocation scheme that meets the warehousing constraints is generated. After the relays are put into storage, the warehouse corrosion dose subfield is continuously monitored. When the real-time corrosion dose rate of the target storage location is detected to exceed the first threshold dynamically calculated based on the product dose passport of the relays stored in that storage location, an adaptive drift rule is triggered to generate the dynamic adjustment instruction for adjusting the storage location.

4. The relay-based dynamic warehousing and logistics route planning method considering oxidation factors according to claim 3, characterized in that, The adaptive drift rule includes: When the target storage location triggers the drift condition, search for its neighboring storage locations and perform exchange condition judgment on the neighboring storage locations, including dose budget margin and planned outbound time verification. Among the adjacent storage locations determined by the exchange conditions, they are sorted according to a scoring model that integrates risk and efficiency, and the optimal exchange partner is selected. Generate and execute a location exchange operation with the optimal exchange partner, and synchronously update the location status parameters and product dosage passports of both parties in the exchange.

5. The relay dynamic warehousing and logistics route planning method considering oxidation factors according to claim 3, characterized in that, The process of performing logistics route planning and generating delivery route schemes includes: Based on the product dosage passport associated with the relays in the order to be delivered, obtain the risk momentum parameters characterizing the initial risk status of the batch of relays; Combining the road network topology information required for logistics route planning, and based on the path corrosion dose subfield, a dynamic path risk network is constructed that correlates the weight of each road segment with the predicted corrosion dose rate. Guided by the combined objective of minimizing transportation costs and the increase in risk in transit, a path is searched in the dynamic path risk network to generate an initial delivery path; During transportation along the initial delivery route, the predicted corrosion dose increment of the road segment ahead is dynamically evaluated. When it is determined that the increment will cause the total cumulative corrosion dose of the relay to exceed its dose budget threshold, a dynamic risk avoidance command is generated.

6. The relay-based dynamic warehousing and logistics route planning method considering oxidation factors according to claim 5, characterized in that, The dynamic risk avoidance command includes path replanning suggestions and in-transit dose neutralization suggestions. When in-transit dose neutralization is determined to be the optimal strategy, its specific generated content includes: Based on the vehicle's current location, query the dynamic path risk network for a stop that meets the set corrosion conditions ahead; If a docking point that meets the criteria is found, an instruction containing a recommended stay duration is generated. The recommended stay duration is calculated based on the corrosion dose to be exceeded and the environmental advantages of the docking point. Based on the actual dwell time after the command is executed, calculate the reduction in corrosion dose and use the reduction in corrosion dose to update the risk momentum parameter.

7. The relay dynamic warehousing and logistics route planning method considering oxidation factors according to claim 5, characterized in that, The dynamic warehouse management and logistics route planning are coordinated through the product dosage passport, specifically including: Before executing the logistics route planning, a cargo query request containing the current cumulative corrosion dose and dose budget margin requirements of the relay is generated based on the estimated increase in corrosion dose along the route. The warehouse dynamic management system filters and selects relays that meet the requirements from the inventory based on the source query request, and synchronizes the updated product dosage passport of the batch of relays to the logistics route planning. The logistics route planning is based on the synchronized product dosage passport to set the risk momentum parameters, and on this basis, the final delivery route plan is generated.

8. The relay dynamic warehousing and logistics route planning method considering oxidation factors according to claim 7, characterized in that, The method also includes a reverse collaborative process, including: When a relay is received from an external source, its product dose passport is read to obtain its historical cumulative corrosion dose. The historical cumulative corrosion dose is compared with the early warning threshold used to characterize the risk of oxidative corrosion to generate a risk assessment result; If the risk assessment result is high risk, a high-protection-level storage location will be allocated to it based on the storage corrosion dose quantum field, and an instruction to trigger the priority quality inspection process will be generated.

9. The relay-based dynamic warehousing and logistics route planning method considering oxidation factors according to claim 1, characterized in that, After the collaborative planning results are executed, the following also applies: Collect actual environmental data and relay status data during the warehousing and logistics process to form a feedback dataset; The model used to generate the dynamic corrosion dose field is corrected by using the deviation between the actual environmental data and the predicted environmental data in the feedback dataset. The product oxidation parameters or the dose budget threshold are optimized by utilizing the deviation between the relay status data in the feedback dataset and the predicted status based on the product dose passport.

Images