A logistics conveyor line process tracking intelligent control method, system and storage medium
By installing inspection equipment on the logistics conveying line, obtaining product parameter information and establishing a completeness determination model, the problem of unclear judgment of goods damage liability is solved, and the clear judgment of goods damage liability and the transparency of the transportation process is achieved.
Patent Information
- Application Number
- CN202411117068.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-15
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2044-08-15
AI Technical Summary
In the prior art, the judgment of liability for goods damage is unclear, lacks sufficient transparency or detailed data records and accurate analysis, making it difficult to accurately determine the responsibility node.
By installing detection equipment on the logistics conveying line, obtaining the product parameter information of each logistics conveying node, identifying the integrity evaluation value characteristics, and establishing an integrity judgment model based on these characteristics and environmental factors, evaluating the integrity evaluation value, and then determining whether to enter the next link of transportation, and clarifying the responsibility for goods damage.
It has achieved a clear judgment on the responsibility for goods damage, improved the transparency of the transportation process and the accuracy of responsibility identification, and ensured the safety and integrity of the goods during transportation.
Smart Images

Figure CN118863708B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of modern aviation logistics, and in particular to an intelligent control method, system and storage medium for process tracking of a logistics conveyor line. Background Art
[0002] With the globalization of the economy, the efficiency of logistics and supply chain management is crucial. The logistics conveyor line refers to a system that transports items from one place to another through various mechanical equipment within a certain space.
[0003] The existing logistics conveyor line process tracking intelligent control system uses barcode technology, radio frequency identification or QR code to quickly obtain product information and uses GPS positioning technology to track the geographic location information of the products in real time.
[0004] For example, the invention patent with announcement number: CN111429079B announces a logistics scheduling method based on an e-commerce platform, including: real-time dynamic tracking of the logistics progress information of the ordered goods based on the e-commerce platform, when a transportation failure occurs during the logistics transportation process, determining the type of failure based on the transportation database; determining a scheduling method that can solve the failure related to the type of failure based on the logistics scheduling function; determining the scheduling operation to be performed on the ordered goods based on the scheduling method; obtaining various parameters in the prediction model corresponding to the scheduling operation result, and re-determining a new logistics transportation route.
[0005] For example, the invention patent with announcement number: CN112224788B announces a control method for an automatic positioning intelligent logistics conveyor line, including: the conveyor line is equipped with a camera and a material sorting mechanism, the transmission motor of the conveyor line is controlled by a frequency converter, the working frequency of the frequency converter is corrected by the control amount output by the PID controller, and the conveying target station of the conveyor line is provided with a target station detection system. The method collects the situation of the conveyor line through a camera, identifies and determines the target material and its information is transmitted to the target station detection system, and the position value is transmitted to the PID controller to determine whether there is a blockage and process it. The PID controller calculates the control amount to control the frequency converter to correct the working frequency, and performs in-place confirmation and information verification at the conveying target station to determine whether there is material leakage.
[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:
[0007] Damage to goods may occur at any stage of logistics. Existing technical tracking systems usually lack sufficient transparency or detailed data records and accurate analysis, making it difficult to accurately determine the responsibility node. In addition, the definitions of environmental factors and operational errors are often vague, resulting in unclear determination of responsibility for damage to goods. Summary of the invention
[0008] The embodiments of the present application solve the problem of unclear determination of liability for damaged goods in the prior art by providing an intelligent control method, system and storage medium for process tracking of a logistics conveyor line, thereby achieving a clear determination of liability for damaged goods.
[0009] An embodiment of the present application provides an intelligent control method for tracking a logistics conveyor line process, comprising the following steps: obtaining cargo parameter information of each logistics conveyor node through detection equipment at each logistics conveyor node; identifying integrity assessment value characteristics based on the cargo parameter information of each logistics conveyor node; establishing an integrity determination model based on the integrity assessment value characteristics and environmental factors, and evaluating the integrity assessment value; and determining whether to enter the next link of transportation based on comparison of the integrity assessment value with an integrity threshold.
[0010] Further, the identification of integrity assessment value characteristics based on the goods parameter information of each logistics transportation node is specifically: extracting integrity assessment value characteristics from the goods parameter information of each logistics transportation node; the integrity assessment value characteristics include: damage characteristics, packaging size characteristics, actual temperature of the normal color part of the outer packaging of the goods when scanning each logistics transportation node, and actual humidity of the normal color part of the outer packaging of the goods.
[0011] Further, the integrity assessment model is established according to the integrity assessment value characteristics and environmental factors, and the integrity assessment value is evaluated specifically as follows: the damage characteristics include: scratch depth, defect area of the outer packaging of the goods; the packaging size characteristics include: the length deformation of the goods, the width deformation of the goods and the height deformation of the goods; the environmental factors include: the temperature in the transport vehicle and the humidity in the transport vehicle; the degree of influence of physical damage on integrity is obtained by analyzing the damage characteristics and size characteristics; the proportion of the color abnormal area of each logistics transportation node to the total area of the goods is obtained, and the humidity of the color abnormal area position at the corresponding position is obtained, and the impact assessment value of the outer packaging of the goods on the integrity is obtained by combining the actual temperature of the normal color part of the outer packaging of the goods when scanning each logistics transportation node and the actual humidity of the normal color part of the outer packaging of the goods; the degree of influence of environmental factors on integrity is obtained by analyzing the environmental factors; the integrity assessment model is established through the degree of influence of physical damage on integrity, the impact assessment value of the outer packaging of the goods on integrity and the degree of influence of environmental factors on integrity, and the integrity assessment value is obtained through the integrity assessment model.
[0012] Furthermore, the specific steps of comparing the integrity assessment value with the integrity threshold to determine whether to enter the next stage of transportation are: obtaining a preset integrity threshold in the database, the integrity threshold including: a first threshold and a second threshold; when the integrity assessment value is greater than or equal to the first threshold, it is determined to be complete, and information for the next stage of transportation is issued; when the integrity assessment value is less than the first threshold and greater than or equal to the second threshold, it is determined to be a slight defect, and information is issued to reinforce the packaging of the goods on the basis of the original packaging; when the integrity assessment value is determined to be less than the second threshold, it is determined to be an item with serious packaging damage, and a negotiation process is entered to determine whether to open the package for inspection; if the judgment result is that the package needs to be opened for inspection, an unpacking inspection prompt message is issued, and based on the inspection result, it is determined whether to repack and continue transportation or return the goods; if the inspection result is that the item is damaged, a return reminder is issued; if the inspection result is that the item is intact, information is issued to repack and continue transportation; if the judgment result is that the package does not need to be opened for inspection, information is issued to reinforce the packaging for transportation.
[0013] Furthermore, the mathematical formula of the integrity determination model is:
[0014] C=w f *F1+w g *F2+w j *F3;
[0015] In the formula, C represents the integrity assessment value, F1 represents the impact of physical damage on integrity, and w f represents the weight corresponding to the impact of physical damage on integrity, F2 represents the impact assessment value of the product packaging on integrity, and w g represents the weight corresponding to the impact assessment value of the product packaging on integrity, F3 represents the impact degree of environmental factors on integrity, and w j Table 1. The corresponding coefficient of the impact of environmental factors on integrity;
[0016] The value of the degree of influence of physical damage on integrity is expressed as follows: the degree of influence of the scratch depth, dent depth, defect area of the outer packaging of the goods, the length deformation of the goods, the width deformation of the goods, and the height deformation of the goods on the integrity;
[0017] The evaluation value of the degree of influence of the outer packaging of goods on the integrity is expressed as follows: the degree of influence of temperature, the actual temperature of the normal color part of the outer packaging of goods, the actual humidity of the normal color part of the outer packaging of goods, the color abnormal area, and the humidity at the location of the color abnormal area on the integrity;
[0018] The degree of influence of environmental factors on integrity is expressed as: the degree of influence of the actual temperature inside the transport vehicle and the actual humidity inside the transport vehicle on the integrity.
[0019] Furthermore, the method also includes: making specific responsibility determination according to the integrity assessment value.
[0020] Furthermore, the step of making specific responsibility determination based on the integrity assessment value includes: setting the natural loss degree as the third threshold value; determining the integrity assessment value of each logistics transportation node and comparing it with the integrity assessment value of the previous logistics transportation node; if the difference in the integrity assessment values is less than or equal to the third threshold value, then the degree of damage between the two nodes is not recorded; if the difference in the integrity assessment values is greater than the third threshold value, then the difference in the integrity assessment values between the two nodes is recorded as the degree of damage; when the packaging is reinforced or repackaged, it is recorded as a new logistics transportation node and inserted into the logistics transportation node sequence in chronological order; the integrity assessment value corresponding to the first scanning detection data after the packaging is reinforced or repackaged is recorded as the damage degree. The integrity assessment value is recorded as the integrity assessment value of the node; when the goods are returned, the responsibility is determined based on the degree of damage between the returned transportation node and the previous transportation nodes, and a responsibility data report is issued; when the goods are received normally, if the transportation nodes have not reinforced the packaging or repackaged and the goods are damaged when received, the responsibility is determined based on the degree of damage between the transportation nodes, and a responsibility data report is issued; if at least one transportation node reinforces the packaging or repackages, and the goods are still damaged when received, the responsibility is determined based on the degree of damage before and after the reinforcement or repackaging and whether the goods are inspected, and a responsibility data report is issued; when the goods are received normally and the goods are not damaged, there is no need to determine the responsibility.
[0021] Furthermore, the method of obtaining the goods parameter information of each logistics transportation node through the detection equipment of each logistics transportation node is specifically as follows: obtaining the goods parameter information of each logistics transportation node includes: obtaining the goods parameter information through scanning before shipment out of the station, obtaining the goods parameter information through inbound scanning and outbound scanning of each distribution node, obtaining the goods parameter information through inbound scanning of the receiving station, and obtaining the goods parameter information through signing scanning; if the integrity assessment value is lower than the second threshold value, the consignee and the consignor are notified and negotiated to determine whether to continue, and if so, proceed to the next node for further monitoring, otherwise the monitoring is returned for processing.
[0022] An embodiment of the present application provides an intelligent control system for tracking a logistics conveyor line process, wherein the information acquisition module is used to acquire parameter information of goods at each logistics conveying node through the detection equipment of each logistics conveying node; the parameter analysis module is used to identify integrity assessment value characteristics based on the parameter information of goods at each logistics conveying node; the model establishment module is used to establish an integrity determination model based on the integrity assessment value characteristics and environmental factors, and evaluate the integrity assessment value; the transportation link determination module is used to determine whether to enter the next link of transportation based on the comparison of the integrity assessment value with the integrity threshold.
[0023] An embodiment of the present application provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements an intelligent control method for tracking a logistics conveyor line process.
[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
[0025] 1. An integrity determination model is established through the impact degree value of physical damage on integrity, the impact assessment value of the outer packaging of goods on integrity, and the impact degree value of environmental factors on integrity, thereby obtaining an integrity assessment value, thereby achieving a clear determination of the liability for damage to goods, effectively solving the problem of unclear determination of liability for damage to goods in the prior art;
[0026] 2. By calculating the integrity assessment value and comparing it with the integrity threshold, it is possible to effectively determine whether the goods can enter the next stage of transportation, thereby realizing intelligent control and management of the goods transportation process and improving the efficiency and safety of transportation;
[0027] 3. By setting the natural loss degree as the third threshold, judging the integrity of each node and comparing it with the previous node, the damage of the goods during transportation can be effectively identified. By recording the damage degree and checking the main line of goods transportation when the integrity difference is greater than the third threshold, real-time monitoring and recording of goods damage can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 A flow chart of an intelligent control method for process tracking of a logistics conveyor line provided in an embodiment of the present application;
[0029] Figure 2 An integrity score diagram provided for an embodiment of the present application;
[0030] Figure 3 A schematic diagram of the structure of a logistics conveyor line process tracking intelligent control system provided in an embodiment of the present application. DETAILED DESCRIPTION
[0031] The embodiments of the present application solve the problem of unclear determination of liability for damaged goods in the prior art by providing an intelligent control method, system and storage medium for process tracking of a logistics conveyor line. By using training set data to establish an integrity determination model, a clear determination of liability for damaged goods is achieved.
[0032] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of unclear determination of liability for damage to goods, and the overall idea is as follows:
[0033] The cargo parameter information of each logistics transportation node is obtained through the detection equipment of each logistics transportation node; the integrity assessment value characteristics are identified according to the cargo parameter information of each logistics transportation node; the integrity judgment model is established according to the integrity assessment value characteristics and environmental factors, and the integrity assessment value is evaluated; the integrity assessment value is compared with the integrity threshold to determine whether to enter the next link of transportation; specific responsibility judgment is made according to the integrity assessment value, so as to achieve a clear judgment on the responsibility for cargo damage.
[0034] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0035] like Figure 1 As shown, it is a flow chart of an intelligent control method for logistics conveyor line process tracking provided by an embodiment of the present application, and the method includes the following steps: obtaining the cargo parameter information of each logistics conveying node through the detection equipment of each logistics conveying node; identifying the integrity assessment value characteristics according to the cargo parameter information of each logistics conveying node; establishing an integrity judgment model according to the integrity assessment value characteristics and environmental factors, and evaluating the integrity assessment value; and judging whether to enter the next link of transportation according to the comparison of the integrity assessment value and the integrity threshold.
[0036] In this embodiment, automatic photography and sensor triggering reduce manual intervention and improve data accuracy and real-time performance. A unique QR code is generated for each product to ensure strong information traceability, facilitate management and quickly respond to problems. Detailed records improve customer satisfaction, and the accumulated data can be used to analyze and optimize the transportation process, ensure product safety and improve logistics management efficiency.
[0037] Further, the integrity assessment value characteristics are identified based on the goods parameter information of each logistics transportation node: the integrity assessment value characteristics are extracted from the goods parameter information of each logistics transportation node; the integrity assessment value characteristics include: damage characteristics, packaging size characteristics, the actual temperature of the normal color part of the outer packaging of the goods when scanning each logistics transportation node, and the actual humidity of the normal color part of the outer packaging of the goods.
[0038] In this embodiment, automated photography and sensor triggering reduce manual intervention and improve the accuracy and real-time nature of data acquisition; the unique QR code ensures the traceability and security of information, facilitating management and quick response to issues; detailed recording and tracking information helps optimize the transportation process and improve customer satisfaction, while the accumulated data can also be used for analysis to further improve logistics management efficiency.
[0039] Furthermore, an integrity judgment model is established according to the integrity assessment value characteristics and environmental factors, and the integrity assessment value is evaluated specifically as follows: damage characteristics include: scratch depth, defect area of the outer packaging of the goods; packaging size characteristics include: length deformation of the goods, width deformation of the goods and height deformation of the goods; environmental factors include: temperature in the transport vehicle and humidity in the transport vehicle; the degree of influence of physical damage on integrity is obtained by analyzing the damage characteristics and size characteristics; the ratio of the color abnormal area of each logistics transportation node to the total area of the goods is obtained, and the humidity of the color abnormal area position at the corresponding position is obtained, and the impact assessment value of the outer packaging of the goods on the integrity is obtained by combining the actual temperature of the normal color part of the outer packaging of the goods and the actual humidity of the normal color part of the outer packaging of the goods when scanning each logistics transportation node; the degree of influence of environmental factors on integrity is obtained by analyzing the environmental factors; the integrity judgment model is established through the degree of influence of physical damage on integrity, the impact assessment value of the outer packaging of the goods on integrity and the degree of influence of environmental factors on integrity, and the integrity judgment model is used to obtain the integrity assessment value.
[0040] In this embodiment, the process provides a comprehensive evaluation of integrity assessment values and environmental conditions through multiple sensor data. It improves the accuracy of damage feature recognition, helps to promptly discover potential problems with goods, acquires and analyzes sensor data in real time, enables timely adjustments during transportation, prevents damage to goods, optimizes transportation conditions, reduces damage to goods during transportation, improves logistics efficiency and goods safety, comprehensively analyzes integrity assessment values and environmental impacts, ensures the quality and safety of goods throughout the entire logistics process, and provides customers with high-quality services.
[0041] Furthermore, the specific steps of comparing the integrity assessment value with the integrity threshold to determine whether to enter the next stage of transportation are as follows: obtaining the integrity threshold preset in the database, the integrity threshold including: a first threshold and a second threshold; when the integrity assessment value is greater than or equal to the first threshold, it is determined to be complete, and information for the next stage of transportation is issued; when the integrity assessment value is less than the first threshold and greater than or equal to the second threshold, it is determined to be a slight defect, and information is issued to reinforce the packaging of the goods on the basis of the original packaging; when the integrity assessment value is determined to be less than the second threshold, it is determined to be an item with serious packaging damage, and the negotiation process is entered to determine whether to open the package for inspection; if the judgment result is that the package needs to be opened for inspection, an unpacking inspection prompt message is issued, and according to the inspection result, it is determined whether to repack and continue transportation or return the goods; if the inspection result is that the item is damaged, a return reminder is issued; if the inspection result is that the item is intact, a message is issued to repack and continue transportation; if the judgment result is that the package does not need to be opened for inspection, a message is issued to repack and continue transportation.
[0042] In this embodiment, the integrity threshold includes a first threshold and a second threshold, the first threshold is 0.9 and the second threshold is 0.8. The negotiation process includes: negotiating with the consignee and the consignor according to the integrity evaluation value, if the consignee and the consignor agree to open the package to check the integrity of the goods, then unpacking is performed, if the goods are intact after unpacking, repacking is continued to be shipped with the consent of the consignor and the consignee, if the goods are damaged, the consignor and the consignee are contacted to determine the responsibility and compensation and confirm the destination of the goods before shipping (returning to the consignor or continuing to mail to the consignee), and the negotiation process ends after reaching an agreement.
[0043] Furthermore, the mathematical formula of the integrity determination model is:
[0044] C=w f *F1+w g *F2+w j *F3;
[0045] In the formula, C represents the integrity assessment value, F1 represents the impact of physical damage on integrity, and w f represents the weight corresponding to the impact of physical damage on integrity, F2 represents the impact assessment value of the product packaging on integrity, and w g represents the weight corresponding to the impact assessment value of the product packaging on integrity, F3 represents the impact degree of environmental factors on integrity, and w j Table 1. The corresponding coefficient of the impact of environmental factors on integrity;
[0046]
[0047] Where S represents the scratch depth, D represents the dent depth, and w s Indicates the weight corresponding to the scratch depth, w d represents the weight corresponding to the dent depth, A represents the defect area of the product packaging, and w a Indicates the weight corresponding to the damaged area of the product packaging, w Δ Indicates the weight of the size change, ΔL represents the length of the product, ΔW represents the width of the product, and ΔH represents the height of the product;
[0048]
[0049] In the formula, w t1 represents the weight of temperature influence, w h1 Represents the weight of humidity influence, T p Indicates the actual temperature of the normal color part of the product packaging, T opt The ideal temperature for the outer packaging of goods, H p Indicates the actual humidity of the normal color part of the product packaging, H optThe ideal humidity of the outer packaging of goods, w rc represents the weight of adjusting the color abnormal area ratio, π represents the period, R c Indicates the ratio of the color abnormal area to the total area of the goods, w hc Indicates the weight of the impact of color abnormality area, H c Indicates the humidity at the location of the color abnormality area;
[0050]
[0051] In the formula, w t2 represents the temperature weight of the internal environment of the transport vehicle, w h2 Represents the humidity weight of the internal environment of the transport vehicle, T v Indicates the actual temperature inside the transport vehicle, H v represents the actual humidity inside the transport vehicle, and Re() represents the real part of the Laplace transform.
[0052] In this embodiment, the mathematical formula of the integrity judgment model can realize the calculation of the integrity of different types of goods, which are mainly affected by physical damage, outer packaging of goods and environmental factors. The greater the degree of physical damage, the more damaged the outer packaging of goods, and the greater the impact of environmental factors, the smaller the integrity value of the goods. The depth of the scratch reflects the surface damage that the goods may suffer during transportation. The depth and area of the depression on the surface of the goods directly reflect the severity of the physical damage. The size of the defect area is directly related to the integrity of the surface of the goods, affecting the value and function of the goods. The changes in the length, width and height of the goods reflect the deformation that may occur during transportation, which can better evaluate the integrity of the goods. Different types of goods are subject to different environmental impacts, and the weights can be dynamically adjusted. Specific examples are shown in the specific contents of Table 1.
[0053] The integrity assessment value is used The normalized value is obtained by processing the standard integrity assessment value. f 、w g 、w j Can be obtained through the logistics database,
[0054] Through the relationship between physical damage, outer packaging of goods, environmental factors and integrity assessment values in historical data, a mapping set of physical damage, outer packaging of goods, environmental factors and their corresponding weights is established respectively. By inputting real-time physical damage, outer packaging of goods and environmental factors, the corresponding physical damage weight, outer packaging weight and environmental factor weight in the mapping set are obtained.
[0055] The degree of impact of physical damage on integrity, the impact assessment value of the outer packaging of goods on integrity, and the impact of the temperature and humidity in the transport vehicle on integrity can be obtained through the F1, F2, and F3 formulas.
[0056] The weight corresponding to the scratch depth, the weight corresponding to the defect area of the outer packaging of the goods, and the weight of the size change can be obtained through the physical damage database. Through the relationship between the scratch depth, dent depth, defect area of the outer packaging of the goods, size change and physical damage in the historical data, a mapping set of scratch depth, dent depth, defect area of the outer packaging of the goods, size change (the length deformation variable of the goods, the width deformation variable of the goods, the height deformation variable of the goods) and their corresponding weights is established respectively. By inputting the real-time scratch depth, dent depth, defect area of the outer packaging of the goods, and size change, the corresponding scratch depth weight, dent depth weight, defect area weight of the outer packaging of the goods, and size change weight in the mapping set are obtained.
[0057] The scratch depth can be measured by a surface roughness meter and retrograde measurement, the dent depth can be measured by high-resolution 3D scanning, the defect area of the outer packaging of the goods can be obtained by integral calculation, the length deformation of the goods can be obtained by caliper measurement, the width deformation of the goods can be obtained by caliper measurement, and the height deformation of the goods can be obtained by caliper measurement.
[0058] The weight of temperature influence, the weight of humidity influence, the weight of adjusting the color abnormal area ratio and the weight of color abnormal area influence can be obtained through the product outer packaging database. Through the relationship between temperature, humidity, color abnormal area ratio, color abnormal area and the integrity of the product outer packaging in historical data, a mapping set of temperature, humidity, color abnormal area ratio, color abnormal area and their corresponding weights is established respectively. By inputting the real-time temperature, humidity, color abnormal area ratio and color abnormal area, the corresponding temperature weight, humidity weight, color abnormal area ratio weight and color abnormal area weight in the mapping set are obtained.
[0059] The actual temperature of the outer packaging of the goods can be measured by using a non-contact infrared thermometer, the ideal temperature of the outer packaging of the goods can be obtained by consulting encyclopedia information, the actual humidity of the normal color part of the outer packaging of the goods can be measured by a hygrometer, the ideal temperature of the outer packaging of the goods can be obtained by consulting encyclopedia information, the proportion of the color abnormal area to the total area of the goods can be obtained by image processing technology, and the humidity of the color abnormal area can be measured by a hygrometer. Measure the length, width and height at the normal placement position (the normal placement position means that the QR code is aligned with the scanning machine at the same time as the code is scanned. This position is the normal placement position. At this time, the length, width and height of the package are measured from a fixed position relative to the scanning machine). Obtain the length, width and height of the normal placement position, subtract each from each other to get the absolute value, and determine whether the appearance has changed. The color abnormal area usually indicates that the packaging is damp, causing the carton color to change, which is determined by image recognition (using image recognition to determine the color of dampness). The actual temperature is obtained by synchronously recognizing the QR code when entering the site to detect the appearance, detecting the temperature of the outer packaging surface through a temperature sensor, and detecting the outer packaging through a humidity sensor. Each type of item has an ideal temperature. For example, the closer the temperature of items transported by refrigerated trucks is to the refrigerated standard temperature, the more suitable it is. For items transported at room temperature, the ambient temperature of the station checked at this time, such as the water inlet temperature of the packaging, will be lower.
[0060] The temperature weight and humidity weight of the internal environment of the transport vehicle can be obtained through the transport vehicle database. The relationship between the temperature and humidity of the internal environment of the transport vehicle in the historical data and the environmental integrity of the transport vehicle is used to establish a mapping set of the temperature and humidity of the internal environment of the transport vehicle and their corresponding weights. The temperature weight and humidity weight of the internal environment of the transport vehicle corresponding to the mapping set are obtained by inputting the real-time temperature and humidity of the internal environment of the transport vehicle. The actual temperature inside the transport vehicle is measured by a non-contact infrared thermometer, and the ideal temperature inside the transport vehicle is obtained by consulting encyclopedia information. The actual humidity inside the transport vehicle is measured by using a hygrometer, and the ideal humidity inside the transport vehicle is obtained by consulting encyclopedia information. Taking apples as an example, as shown in Table 1:
[0061] Group No. <![CDATA[F1]]> <![CDATA[F2]]> <![CDATA[F3]]> C Z 1 3.3172 0.7128 51342.22 10270.31644 0.822642757 2 3.0287 0.7345 62413.50 12484.4347 0.999991562 3 3.6240 0.6892 46284.30 9258.87876 0.741627543 4 2.7516 0.7156 58293.19 11660.22848 0.933973414 5 3.3245 0.6984 52473.81 10496.63377 0.840770564 6 3.1050 0.7561 49134.89 9828.75733 0.787274285 7 3.5730 0.6724 53115.47 10625.08222 0.851059165 8 3.4780 0.6883 46284.30 9258.80549 0.741621675 9 3.2452 0.7248 62413.50 12484.54004 1 10 3.1981 0.7128 51342.22 10270.25689 0.822637987
[0062] where w f =0.5, w g =0.3, w j =0.2.
[0063] like Figure 2As shown in Table 1, the integrity assessment values of Group 3, Group 6, and Group 8 are less than 0.8, indicating that the packaging of the goods in Group 3, Group 6, and Group 8 is severely damaged and needs to enter the negotiation process to determine whether to open the package for inspection; if the judgment result is that the package needs to be opened for inspection, a reminder message for opening the package for inspection is issued, and based on the inspection result, it is determined whether to repack and continue transportation or return the goods. If the inspection result shows that the goods are damaged, a return reminder is issued; if the inspection result shows that the goods are intact, a message for repacking and continuing transportation is issued; if the judgment result is that the goods do not need to be opened for inspection, a message for repacking and continuing transportation is issued.
[0064] Furthermore, it also includes: making specific responsibility determination based on the integrity assessment value.
[0065] In this embodiment, an integrity threshold is set; when the integrity assessment value is greater than or equal to the first threshold, it is judged to be complete, and information for the next stage of transportation is issued; when the integrity assessment value is less than the first threshold and greater than or equal to the second threshold, it is judged to be a slight defect, and information is issued to reinforce the packaging of the goods on the basis of the original packaging; when the integrity assessment value is judged to be less than the second threshold, it is judged to be an item with serious packaging damage, and the negotiation process is entered to determine whether to open the package for inspection; if the judgment result is that the package needs to be opened for inspection, an unpacking inspection prompt message is issued, and it is determined whether to repack and continue transportation or return the goods based on the inspection result. If the inspection result is that the item is damaged, a return reminder is issued. If the inspection result is that the item is intact, a message for repacking and continuing transportation is issued; if the judgment result is that the package does not need to be opened for inspection, a message for repacking and continuing transportation is issued.
[0066] Responsibility data report: Find the node that was initially damaged and the damage degree and cause of the damage at the time of the initial damage. If the damage is caused by environmental factors in a single site, the site is judged to bear full responsibility for the goods. If the damage is caused by environmental factors in multiple sites, a certain responsibility is borne in proportion to the degree of damage or the degree of damage aggravation at each site. If the first damage is caused by the site and the subsequent damage is caused by the staff, the site shall bear 70% of the damage liability, and the staff who caused the subsequent damage shall share the remaining 30% liability. If the first damage is caused by the staff at the site, the staff who damaged the goods shall bear 70% of the liability for subsequent damage caused by the site environment, and the site shall bear 30% of the liability. If the damage is aggravated without the damage at the site, the staff shall bear full responsibility. For fresh food, seafood and other products with a short shelf life, if the user finds that the product is damaged by mold, deterioration, rot or other descriptions after receiving the goods, the time of transportation process at each station will be checked by scanning the product QR code. If the transportation time exceeds the predicted time of the transportation section, the transportation company of the transportation process will be determined to bear certain responsibilities, and the responsibility will be allocated according to the proportion of the delay time of each section. For fruits, electronic products, goods that are not easy to fall, and goods with a short shelf life, if the user finds that the product is damaged by collision, scratches or other descriptions after receiving the goods, if the user declares or selects it as fragile goods during the mailing process, the product packaging information uploaded by each station will be obtained by scanning the product QR code for inquiry, and all responsibilities will be borne in proportion to the damage in each step. If it is not declared or selected as fragile goods during the mailing process, the user shall bear 30% of the responsibility, and the remaining responsibility shall be borne by the staff of the station or express station in proportion to 70%.
[0067] Furthermore, the steps of making specific responsibility determination based on the integrity assessment value include: setting the natural loss degree as the third threshold; determining the integrity of each node and comparing it with the previous node, if the integrity difference is less than the third threshold, continuing the transportation normally; if the integrity difference is greater than the third threshold, recording the integrity difference between the two nodes as the degree of damage and checking the main line of goods transportation; when the reinforced packaging or repackaging is recorded as a new node inserted into the node sequence, the first scanning detection data after the reinforced packaging or repackaging is recorded as the integrity assessment value corresponding to the node; for returned goods, the responsibility is determined according to the degree of damage between the previous logistics transportation nodes; for goods that are normally received and damaged upon receipt, the responsibility is determined according to the degree of damage between the logistics transportation nodes; when normally received, the reinforced packaging or repackaging is still damaged, and the responsibility is determined according to the degree of damage before and after the reinforced packaging or repackaging and whether the goods are inspected.
[0068] In this embodiment, the third threshold value varies with the specific type of goods. For example, if the goods are apples, the third threshold value is 0.2. This method can effectively distinguish between natural wear and tear during transportation and abnormal damage caused by operational errors or other reasons, making damage assessment more scientific and reasonable. In addition, this real-time monitoring method can detect problems in time during transportation and take corresponding measures to avoid further damage and ensure the quality and integrity of the goods. This method can independently evaluate the goods after reinforced packaging or repackaging, ensure the effectiveness of repair measures, and clarify responsibilities when necessary to ensure the transparency and traceability of the entire transportation process.
[0069] Furthermore, the main line of goods transportation is: each station performs scanning before shipment, entry scanning, exit scanning, and entry scanning at the receiving station at each distribution node, and shipment scanning and calculates the integrity assessment value; if the integrity assessment value is lower than the second threshold, the consignee and the consignor are notified and negotiated to determine whether to continue. If so, the next node will continue monitoring, otherwise it will be returned for processing.
[0070] In this embodiment, this full-process scanning and monitoring method ensures that the status of the goods at each node is recorded and tracked, provides a complete transportation record, facilitates traceability and management, and timely calculates and monitors the integrity assessment value during transportation. When it is found that the integrity assessment value is lower than the set threshold, the relevant parties are immediately notified to facilitate timely processing and decision-making, reduce losses, and the inbound and outbound scanning of the receiving station ensures the final status record before the delivery of the goods, so that the consignee can confirm the status of the goods, clarify responsibilities, and reduce disputes.
[0071] like Figure 3 As shown, it is a structural schematic diagram of a logistics conveyor line process tracking intelligent control system provided in an embodiment of the present application. The logistics conveyor line process tracking intelligent control system provided in an embodiment of the present application includes: an information acquisition module, a parameter analysis module, a model building module, and a transportation link determination module, wherein the information acquisition module is used to obtain the parameter information of goods at each logistics conveying node through the detection equipment of each logistics conveying node; the parameter analysis module is used to identify the integrity assessment value characteristics according to the parameter information of goods at each logistics conveying node; the model building module is used to establish an integrity determination model according to the integrity assessment value characteristics and environmental factors, and evaluate the integrity assessment value; the transportation link determination module is used to determine whether to enter the next link of transportation according to the comparison of the integrity assessment value with the integrity threshold.
[0072] Among them, the embodiment of the present application also provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements an intelligent control method for tracking the process of a logistics conveyor line.
[0073] In summary, this embodiment establishes an integrity determination model through the impact degree value of physical damage on integrity, the impact assessment value of the outer packaging of goods on integrity, and the impact degree value of environmental factors on integrity, thereby obtaining an integrity assessment value, and further achieving a clear determination of the liability for damage to goods.
[0074] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0078] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A logistics conveyor line process tracking intelligent control method, characterized in that: The following steps are involved: Obtain the commodity parameter information of each logistics transportation node through the detection equipment of each logistics transportation node; Identify integrity assessment value features based on cargo parameter information at each logistics delivery node; Establish an integrity determination model based on integrity assessment value characteristics and environmental factors, and evaluate the integrity assessment value; Compare the integrity assessment value with the integrity threshold to determine whether to enter the next stage of transportation; The specific steps of comparing the integrity assessment value with the integrity threshold to determine whether to enter the next stage of transportation are: Obtaining a preset integrity threshold in a database, where the integrity threshold includes: a first threshold and a second threshold; When the integrity assessment value is greater than or equal to the first threshold, it is judged to be complete, and information for the next stage of transportation is issued; When the integrity assessment value is less than the first threshold and greater than or equal to the second threshold, it is determined to be a slight defect, and a message is issued to reinforce the packaging of the goods on the basis of the original packaging; If the integrity assessment value is less than the second threshold, the item is judged to be seriously damaged in packaging and the negotiation process is initiated to determine whether to open the package for inspection. If the judgment result is that the package needs to be unpacked for inspection, a reminder message for unpacking and inspection will be issued. Based on the inspection result, it will be determined whether to repack and continue transportation or return the goods. If the inspection result shows that the goods are damaged, a return reminder will be issued. If the inspection result shows that the goods are intact, a message will be issued to repack and continue transportation. If the judgment result is that it is not necessary to open the package for inspection, a message will be sent to reinforce the package and continue transportation; The mathematical formula of the integrity determination model is: <h2 style=";text-align:left;direction:ltr">C=w<h2 style=";text-align:left;direction:ltr"> f <h2 style=";text-align:left;direction:ltr"> *F1+w<h2 style=";text-align:left;direction:ltr"> g <h2 style=";text-align:left;direction:ltr"> *F2+w<h2 style=";text-align:left;direction:ltr"> j <h2 style=";text-align:left;direction:ltr"> *F3; In the formula, C represents the integrity assessment value, F1 represents the impact of physical damage on integrity, and w f represents the weight corresponding to the impact of physical damage on integrity, F2 represents the impact assessment value of the product packaging on integrity, and w g represents the weight corresponding to the impact assessment value of the product packaging on integrity, F3 represents the impact degree of environmental factors on integrity, and w j Table 1. The corresponding coefficient of the impact of environmental factors on integrity; The value of the degree of influence of physical damage on integrity is expressed as follows: the degree of influence of the scratch depth, dent depth, defect area of the outer packaging of the goods, the length deformation of the goods, the width deformation of the goods, and the height deformation of the goods on the integrity; The evaluation value of the degree of influence of the outer packaging of goods on the integrity is expressed as follows: the degree of influence of temperature, the actual temperature of the normal color part of the outer packaging of goods, the actual humidity of the normal color part of the outer packaging of goods, the color abnormal area, and the humidity at the location of the color abnormal area on the integrity; The influence degree of environmental factors on integrity is expressed as follows: the influence degree of actual temperature inside the transport vehicle and actual humidity inside the transport vehicle on integrity; Where S represents the scratch depth, D represents the dent depth, and w s Indicates the weight corresponding to the scratch depth, w d represents the weight corresponding to the dent depth, A represents the defect area of the product packaging, and w a Indicates the weight corresponding to the damaged area of the product packaging, w Δ Indicates the weight of the size change, ΔL represents the length of the product, ΔW represents the width of the product, and ΔH represents the height of the product; In the formula, w t1 represents the weight of temperature influence, w h1 Represents the weight of humidity influence, T p Indicates the actual temperature of the normal color part of the product packaging, T opt The ideal temperature for the outer packaging of goods, H p Indicates the actual humidity of the normal color part of the product packaging, H opt The ideal humidity of the outer packaging of goods, w rc represents the weight of adjusting the color abnormal area ratio, π represents the period, R c Indicates the ratio of the color abnormal area to the total area of the goods, w hc Indicates the weight of the impact of color abnormality area, H c Indicates the humidity at the location of the color abnormality area; In the formula, w t2 represents the temperature weight of the internal environment of the transport vehicle, w h2 Represents the humidity weight of the internal environment of the transport vehicle, T v Indicates the actual temperature inside the transport vehicle, H v Indicates the actual humidity inside the transport vehicle.
2. The intelligent control method for tracking the process of a logistics conveyor line according to claim 1, characterized in that: The integrity assessment value characteristics identified according to the commodity parameter information of each logistics transportation node are specifically: Extract integrity assessment value features from the cargo parameter information of each logistics transportation node; The integrity assessment value characteristics include: damage characteristics, packaging size characteristics, actual temperature of the normal color part of the outer packaging of the goods when scanned by each logistics transportation node, and actual humidity of the normal color part of the outer packaging of the goods.
3. The intelligent control method for tracking the process of a logistics conveyor line according to claim 2, characterized in that: The integrity determination model is established according to the integrity assessment value characteristics and environmental factors, and the integrity assessment value is evaluated specifically as follows: The damage characteristics include: scratch depth, defect area of the outer packaging of the goods; The packaging size characteristics include: the length deformation of the goods, the width deformation of the goods and the height deformation of the goods; Environmental factors include: temperature inside the transport vehicle, humidity inside the transport vehicle; The influence of physical damage on integrity is obtained by analyzing the damage characteristics and size characteristics; Obtain the ratio of the color abnormal area to the total area of the goods at each logistics transportation node, and obtain the humidity of the color abnormal area at the corresponding position. Combined with the actual temperature of the normal color part of the goods outer packaging when scanning each logistics transportation node and the actual humidity of the normal color part of the goods outer packaging, analyze and obtain the impact assessment value of the goods outer packaging on the integrity. The impact of environmental factors on integrity is obtained through environmental factor analysis; An integrity judgment model is established through the impact degree of physical damage on integrity, the impact assessment value of the outer packaging of goods on integrity and the impact degree of environmental factors on integrity, and the integrity assessment value is obtained through the integrity judgment model.
4. The intelligent control method for process tracking of a logistics conveyor line according to claim 1, characterized in that: Also includes: Make specific responsibility determination based on the integrity assessment value.
5. The intelligent control method for process tracking of a logistics conveyor line according to claim 4, characterized in that: The step of making specific responsibility determination according to the integrity assessment value comprises: Setting the natural loss degree as the third threshold; Determine the integrity evaluation value of each logistics transportation node and compare it with the integrity evaluation value of the previous logistics transportation node. If the difference in the integrity evaluation values is less than or equal to the third threshold, the damage degree between the two nodes is not recorded. If the difference in the integrity evaluation values is greater than the third threshold, the difference in the integrity evaluation values between the two nodes is recorded as the damage degree. When reinforcing or repackaging, it is recorded as a new logistics transportation node and inserted into the logistics transportation node sequence in chronological order. The integrity assessment value corresponding to the first scanning detection data after reinforcing or repackaging is recorded as the integrity assessment value of the node; When goods are returned, the responsibility is determined based on the degree of damage between the return delivery node and the previous delivery nodes, and a responsibility data report is issued; When the goods are received normally, if each delivery node fails to reinforce the packaging or repackage and the goods are damaged when received, the responsibility will be determined according to the degree of damage between each delivery node, and a responsibility data report will be issued; If at least one delivery node performs reinforced packaging or repackaging, and the goods are still damaged upon receipt, the responsibility will be determined based on the degree of damage before and after the reinforced packaging or repackaging and whether the goods have been inspected, and a responsibility data report will be issued; When the goods are received normally and are not damaged, there is no need to determine liability.
6. A logistics conveyor line process tracking intelligent control method as claimed in claim 5, characterized in that: The method of obtaining the commodity parameter information of each logistics transportation node through the detection equipment of each logistics transportation node is as follows: Obtaining the product parameter information at each logistics delivery node includes: obtaining product parameter information by scanning before shipment, obtaining product parameter information by scanning at each distribution node, obtaining product parameter information by scanning at the receiving station, and obtaining product parameter information by scanning at the receipt station; If the integrity assessment value is lower than the second threshold, the consignee and the consignor are notified and negotiated to determine whether to continue. If so, the next node is monitored, otherwise the process is returned for processing.
7. A system using the intelligent control method for process tracking of a logistics conveying line as claimed in any one of claims 1 to 6, characterized in that: include: Information acquisition module, parameter analysis module, model building module, and transportation link determination module; The information acquisition module is used to acquire the parameter information of goods at each logistics delivery node through the detection equipment at each logistics delivery node; The parameter analysis module is used to identify integrity assessment value characteristics based on the cargo parameter information of each logistics transportation node; The model building module is used to build an integrity determination model according to the integrity assessment value characteristics and environmental factors, and evaluate the integrity assessment value; The transport link determination module is used to determine whether to enter the next link of transportation based on the comparison between the integrity assessment value and the integrity threshold.
8. A computer-readable storage medium for storing a program, characterized in that: When the program is executed by the processor, an intelligent control method for tracking the process of a logistics conveyor line is implemented as described in any one of claims 1 to 6.
Citation Information
Patent Citations
A logistics scheduling method based on an e-commerce platform
CN111429079B
A control method for an automatic positioning intelligent logistics conveyor line
CN112224788B
Intelligent supply chain logistics management method and system based on artificial intelligence
CN118229172A