A control method, system and storage medium for automatically positioning a smart logistics conveyor line

Abstract

The present invention relates to the technical field of positioning logistics conveyor lines, and specifically discloses a control method, system and storage medium for automatically positioning intelligent logistics conveyor lines. The method automatically and accurately positions optimized intelligent logistics conveyor lines by analyzing the pressure warning index of each intelligent logistics conveyor line, and then evaluates the sorting accuracy deviation index of the sorting area of ​​the basic intelligent logistics conveyor line, and takes corresponding accuracy improvement measures to improve the reliability of the sorting area of ​​the basic intelligent logistics conveyor line. At the same time, the conveying loss index of the primary intelligent logistics conveyor line is determined to take corresponding loss control strategies, effectively reduce resource waste, and improve the operating efficiency of the primary intelligent logistics conveyor line. Finally, the control optimization degree of the optimized intelligent logistics conveyor line to be verified is analyzed to realize positioning control degree feedback, and ensure the efficient and stable operation of the intelligent logistics conveyor line; through precise control and feedback mechanism, the accuracy and efficiency of logistics sorting are significantly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of positioning logistics conveyor lines, and specifically to a control method, system and storage medium for automatically positioning an intelligent logistics conveyor line. Background Art

[0002] With the rapid development of the logistics industry, smart logistics conveyor lines, as an important part of the modern logistics system, their operating efficiency and stability are crucial to improving the overall efficiency of logistics and reducing costs. Traditional logistics conveyor lines rely more on manual operation and experience judgment in controlling and monitoring logistics conveyor lines, which makes it difficult to achieve precise control and efficient resource utilization, and lacks an effective feedback mechanism, which limits the ability of logistics conveyor lines to adapt to changing demands.

[0003] For example, the invention patent with announcement number CN112224788B discloses a control method for an automatic positioning intelligent logistics conveyor line. 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. 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 for processing. 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 any leakage. This method effectively solves the problem that the existing automatic logistics conveyor line cannot accurately transport objects to the designated operating station and the problem of material blockage and leakage, and can effectively improve the success rate and efficiency of logistics transfer.

[0004] For example, the invention patent with announcement number CN108269042B discloses a logistics supply chain management system and method, which relates to the field of logistics management technology; the system includes: the above invention mainly adopts the logistics server to search the receipt status and current location in the corresponding logistics tracking sheet based on the logistics number in the logistics change sheet, and confirm in real time according to the receipt status and current location whether the current location and the changed delivery address in the logistics change sheet are on the same transportation path. When they are not on the same transportation path, the corresponding information in the logistics tracking sheet is updated, and the current location and the changed delivery address are sent to the path planning server; the path planning server calculates the next stop location through the path planning algorithm according to the distance between the current location and the changed delivery address, and feeds back the next stop location to the logistics server, and the current distribution center terminal dispatches the goods to the corresponding vehicle distribution terminal according to the next stop location in the new logistics tracking sheet, thereby realizing dynamic adjustment of order information.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: At present, in the field of smart logistics conveyor line management, current technical solutions mostly focus on data analysis, but have deficiencies in aspects such as the real-time data and dynamic adjustment capabilities of smart logistics conveyor lines, which limits the improvement of logistics conveyor line management efficiency, resulting in difficulty in quickly formulating and implementing effective solutions when problems occur in smart logistics conveyor lines. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a control method, system and storage medium for automatically positioning a smart logistics conveyor line, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a control method for automatically positioning a smart logistics conveyor line, including: S1. Obtaining the pressure parameters of each smart logistics conveyor line, analyzing the pressure warning index of each smart logistics conveyor line, and automatically locating the optimized smart logistics conveyor line; S2. Collecting the operating parameters of the optimized smart logistics conveyor line, and at the same time obtaining the sorting operating parameters of the sorting area to which the basic smart logistics conveyor line belongs, evaluating the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, matching and implementing accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs; S3. Implementing the accuracy The basic smart logistics conveyor lines in the sorting area to which the basic smart logistics conveyor lines for accuracy improvement measures belong are marked as primary smart logistics conveyor lines, and the loss parameters of the primary smart logistics conveyor lines in the transportation process are collected to determine the transportation loss index of the primary smart logistics conveyor lines, and the loss control strategies of the primary smart logistics conveyor lines are matched and implemented; S4. The primary smart logistics conveyor lines that implement the loss control strategies are marked as optimized smart logistics conveyor lines to be verified, the positioning optimization parameters of the optimized smart logistics conveyor lines to be verified are obtained, and the control optimization degree of the optimized smart logistics conveyor lines to be verified is analyzed, thereby providing feedback on the positioning control degree of the optimized smart logistics conveyor lines to be verified.

[0008] As a further method, the automatic positioning optimized smart logistics conveyor line has the following specific process: sorting the pressure warning indexes of each smart logistics conveyor line in ascending order, screening out the pressure warning index ranked first, and marking the smart logistics conveyor line corresponding to the pressure warning index as an optimized smart logistics conveyor line; at the same time, screening out the pressure warning index ranked last, and marking the smart logistics conveyor line corresponding to the pressure warning index as a basic smart logistics conveyor line, thereby realizing automatic positioning of the optimized smart logistics conveyor line.

[0009] As a further method, the matching and implementation of accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, the specific process is: matching the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs with the accuracy improvement measures corresponding to each sorting accuracy deviation index interval stored in the smart logistics database, to obtain the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, thereby implementing the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs.

[0010] As a further method, the loss control strategy of the primary smart logistics conveyor line is matched and implemented. The specific analysis process is: matching the conveying loss index of the primary smart logistics conveyor line with the loss control strategy corresponding to each conveying loss index interval stored in the smart logistics database to obtain the loss control strategy of the primary smart logistics conveyor line, thereby implementing the loss control strategy for the primary smart logistics conveyor line.

[0011] As a further method, the positioning control degree of the optimized smart logistics conveyor line to be verified is fed back, and the specific feedback process is: according to the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, the total damaged area of ​​the contact bottom surface of the conveyed items of the optimized smart logistics conveyor line to be verified within the control verification period, and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period are extracted; at the same time, according to the operating parameters of the optimized smart logistics conveyor line, the total damaged area of ​​the contact bottom surface of the conveyed items of the optimized smart logistics conveyor line to be verified within the control verification period, and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period are extracted, and the control optimization degree of the optimized smart logistics conveyor line to be verified is obtained by comprehensive analysis; the control optimization degree of the optimized smart logistics conveyor line to be verified is compared with the control optimization threshold. If the control optimization degree of the optimized smart logistics conveyor line to be verified is less than the control optimization threshold, the positioning control degree of the optimized smart logistics conveyor line to be verified is fed back.

[0012] The second aspect of the present invention provides a control system for automatically positioning a smart logistics conveyor line, including: an optimization positioning module; an accurate evaluation module; a loss determination module; and a control feedback module.

[0013] The third aspect of the present invention provides a device for a control method for automatically positioning a smart logistics conveyor line, characterized in that it includes: a smart logistics conveyor line and a smart logistics operation platform; the smart logistics conveyor line is connected to the smart logistics operation platform via the Internet, and the control optimization of the smart logistics conveyor line is performed through a remote data transmission function; a pressure sensor is used to measure the real-time pressure values ​​of each pressure sensor position point of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle, and screen out the abnormal pressure values ​​of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle; a speed sensor is used to measure the real-time rotation speed of the motor belonging to each smart logistics conveyor line, thereby analyzing and obtaining the real-time working frequencies of the motor belonging to each smart logistics conveyor line during the item transmission cycle; a temperature sensor is used to measure the temperature value of each temperature measurement position point of each smart logistics conveyor line at the end time of the item transmission cycle; a processor is used to obtain each abnormal pressure value, each real-time working frequency and temperature value and perform a comprehensive analysis, thereby providing feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0015] (1) The present invention provides a control method, system and storage medium for automatically positioning a smart logistics conveyor line. The method can automatically and accurately position an optimized smart logistics conveyor line by analyzing the pressure warning index of each smart logistics conveyor line, and then evaluate the sorting accuracy deviation index of the sorting area of ​​the basic smart logistics conveyor line, take corresponding accuracy improvement measures to improve the reliability of the sorting area of ​​the basic smart logistics conveyor line, and at the same time determine the transportation loss index of the primary smart logistics conveyor line to take corresponding loss control strategies, which can effectively reduce resource waste and improve the operating efficiency of the primary smart logistics conveyor line. Finally, by analyzing the control optimization degree of the optimized smart logistics conveyor line to be verified, the positioning control degree feedback is realized to ensure the efficient and stable operation of the smart logistics conveyor line; not only the intelligent level of logistics transportation is improved, but also the accuracy and efficiency of logistics sorting are significantly improved through precise control and feedback mechanisms.

[0016] (2) The present invention can reduce the rework or secondary processing time caused by incorrect sorting by evaluating the sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs, and then matching and implementing accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, thereby accelerating the processing speed and efficiency of the basic smart logistics conveyor line.

[0017] (3) The present invention determines the loss parameters of the primary intelligent logistics conveyor line during transportation, thereby matching and implementing the loss control strategy of the primary intelligent logistics conveyor line, thereby identifying stability problems or operational errors that may exist during transportation, and then taking corresponding measures to improve the transportation accuracy of the primary intelligent logistics conveyor line, reduce damage and loss of items during transportation, and improve the energy efficiency of the primary intelligent logistics conveyor line. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0019] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0020] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0021] Figure 3 This is a timing diagram of receiving the sorting signal involved in the present invention.

[0022] Figure numerals: 1, signal 1; 2, signal 2; 3, signal receiving time point 3; 4, signal receiving time point 4. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] Reference Figure 1 As shown, the first aspect of the present invention provides a control method for automatically positioning a smart logistics conveyor line, including: S1. Obtaining the pressure parameters of each smart logistics conveyor line, analyzing the pressure warning index of each smart logistics conveyor line, and thereby automatically positioning an optimized smart logistics conveyor line.

[0025] Specifically, the automatic positioning of the optimized smart logistics conveyor line, the specific process is: sort the pressure warning index of each smart logistics conveyor line in ascending order, screen out the pressure warning index ranked first, and mark the smart logistics conveyor line corresponding to the pressure warning index as the optimized smart logistics conveyor line; at the same time, screen out the pressure warning index ranked last, and mark the smart logistics conveyor line corresponding to the pressure warning index as the basic smart logistics conveyor line, thereby realizing the automatic positioning of the optimized smart logistics conveyor line; the above-mentioned automatic positioning of the optimized smart logistics conveyor line refers to the control system of the automatic positioning of the smart logistics conveyor line automatically sorting the pressure warning index of each smart logistics conveyor line in ascending order, locating the pressure warning index ranked first, and the smart logistics conveyor line corresponding to the pressure warning index is the optimized smart logistics conveyor line, and the optimized smart logistics The performance of the conveyor line serves as a performance benchmark, which helps to clearly identify the performance differences and potential improvement spaces of other smart logistics conveyor lines. The above-mentioned pressure warning index ranked last means that the smart logistics conveyor line performance corresponding to the pressure warning index is the least efficient among the performances of all smart logistics conveyor lines. It is therefore marked as a basic smart logistics conveyor line. After implementing accuracy improvement measures and loss control strategies for the smart logistics conveyor line, if the performance of the smart logistics conveyor line meets the requirements, the control method for automatically positioning the smart logistics conveyor line is re-executed. If the performance of the smart logistics conveyor line does not meet the requirements, feedback is given to it, and then the control method for automatically positioning the smart logistics conveyor line is re-executed. The smart logistics conveyor line corresponding to the pressure warning index ranked first and the pressure warning index ranked last are continuously positioned to achieve continuous improvement of the smart logistics conveyor lines.

[0026] Furthermore, the analysis of the pressure warning index of each smart logistics conveyor line is specifically carried out as follows: according to the pressure parameters of each smart logistics conveyor line, the position points of each pressure sensor of the conveyor belt belonging to each smart logistics conveyor line are located, and the real-time pressure values ​​of each pressure sensor position point of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle are obtained, and compared with the pressure limit value, to obtain the abnormal pressure values ​​of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle; the above-mentioned pressure limit value is extracted from the production specification manual of the smart logistics conveyor line; the above-mentioned item transmission cycle refers to the time period for analyzing the performance of the smart logistics conveyor line, which is formulated by the conveyor line management personnel based on the performance of the smart logistics conveyor line, and the length of the item transmission cycle will vary according to the actual situation; the above-mentioned real-time pressure values ​​are measured by pressure sensors.

[0027] At the same time, the real-time operating frequencies of the motors of each smart logistics conveyor line during the item transmission cycle are collected, the maximum real-time operating frequency and the minimum real-time operating frequency are screened out, and the difference processing is used to obtain the operating frequency fluctuation value of the motors of each smart logistics conveyor line during the item transmission cycle; the above-mentioned real-time operating frequencies are measured by the speed sensor to measure the real-time rotation speed of the motors of each smart logistics conveyor line, and the speed sensor is used to convert the speed into an electrical signal to obtain the real-time operating frequency.

[0028] Temperature measurement points are randomly arranged on each smart logistics conveyor line, and the temperature values ​​of each temperature measurement point on each smart logistics conveyor line at the end time of the item transmission cycle are collected. The above temperature values ​​are measured by temperature sensors installed at each temperature measurement point.

[0029] The temperature differences of each smart logistics conveyor line are obtained through data analysis, which means that the temperature values ​​of each temperature measurement point of each smart logistics conveyor line are processed by subtracting the temperature values ​​of the temperature measurement point with the shortest adjacent straight-line distance, so as to obtain the temperature differences of each smart logistics conveyor line.

[0030] The temperature differences of each smart logistics conveyor line are sorted in order from large to small, and the difference analysis is performed between the first-ranked temperature difference and the last-ranked temperature difference of each smart logistics conveyor line to obtain the temperature distribution difference of each smart logistics conveyor line; thus, the pressure warning index of each smart logistics conveyor line is obtained through comprehensive analysis.

[0031] The pressure warning index of each smart logistics conveyor line is obtained by comprehensively analyzing the working frequency fluctuation value of the motor of each smart logistics conveyor line during the item transmission cycle, the temperature distribution difference of each smart logistics conveyor line, and the abnormal pressure values ​​of the conveyor belts of each smart logistics conveyor line in this embodiment. It is used to analyze the value of the pressure warning degree of each smart logistics conveyor line. The specific expression is:

[0032]

[0033] Among them, α bis the pressure warning index of the bth smart logistics conveyor line. If the working frequency fluctuates more, it indicates that the working performance of the smart logistics conveyor line is unstable, which may easily lead to work interruption and abnormal changes in working pressure. The abnormal change in pressure may cause the abnormal pressure value to deviate excessively from the pressure limit value. The components of the smart logistics conveyor line may exceed the tolerable range, and the temperature may easily exceed the tolerable temperature, that is, the smart logistics conveyor line may experience high temperature, which may have a negative impact on the transportation efficiency of the smart logistics conveyor line. Therefore, the working frequency fluctuation value, temperature distribution difference and abnormal pressure value are set to the same numerical range and digits for analysis to ensure that the three key indicators have the same benchmark when analyzing and comparing. Improving the comparability of parameters makes the discovery and resolution of smart logistics conveyor line problems faster and more accurate.

[0034] WP b is the operating frequency fluctuation value of the motor belonging to the b-th smart logistics conveyor line during the item transmission cycle. During the item transmission cycle, the operating frequency of the motor belonging to the smart logistics conveyor line may change due to load changes and power supply stability. A larger frequency fluctuation value may mean that the motor is unstable, which may lead to reduced transmission efficiency and increased energy consumption of the smart logistics conveyor line.

[0035] TP b is the temperature distribution difference of the bth smart logistics conveyor line. Due to the heat generated during the operation of the smart logistics conveyor line, changes in ambient temperature or different heat dissipation conditions, there may be differences in the temperature distribution. A large temperature distribution difference indicates that the temperature of a part of the smart logistics conveyor line is abnormal, affecting the performance and service life of the smart logistics conveyor line.

[0036] AP bf This is the fth abnormal pressure value of the conveyor belt belonging to the bth smart logistics conveyor line during the item transmission cycle. During the item transmission cycle, if the smart logistics conveyor line is subjected to excessive pressure or uneven load, the pressure value at the pressure sensor location exceeds the pressure limit value, which may cause damage to the smart logistics conveyor belt, damage to items, and reduced transmission efficiency.

[0037] ΔAP is the pressure limit value, which represents the maximum value of each abnormal pressure value of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle.

[0038] d1 is the influencing factor of the unit value of the working frequency fluctuation value, d2 is the influencing factor of the unit value of the temperature distribution difference, d3 is the correction factor of the abnormal pressure value, the influencing factor of the unit value of the working frequency fluctuation value refers to the degree of influence of the unit value of the working frequency fluctuation value on the pressure warning index, and the value range is 0.24 to 0.54, the influencing factor of the unit value of the temperature distribution difference refers to the degree of influence of the unit value of the temperature distribution difference on the pressure warning index, and the value range is 0.20 to 0.42, and the correction factor of the abnormal pressure value refers to the degree of correction of the change in abnormal pressure value, and the value range is 0.10 to 0.15; the relationship between the pressure warning index and the working frequency fluctuation value, the temperature distribution difference and the abnormal pressure value can be analyzed by comparing the values ​​of the pressure warning index of each smart logistics conveying line under different historical working frequency fluctuation values, temperature distribution differences and abnormal pressure values, thereby calculating the influencing factor of the unit value of the working frequency fluctuation value, the influencing factor of the unit value of the temperature distribution difference and the correction factor of the abnormal pressure value.

[0039] b is the number of each smart logistics conveyor line, b = {1, 2, 3, ..., j}, j is the total number of smart logistics conveyor lines, f is the number of each abnormal pressure value, f = {1, 2, 3, ..., h}, h is the total number of abnormal pressure values.

[0040] S2. Collect the operating parameters of the optimized smart logistics conveyor line, and at the same time obtain the sorting operating parameters of the sorting area to which the basic smart logistics conveyor line belongs, evaluate the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, and match and implement accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs.

[0041] In a specific embodiment, the present invention evaluates the sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs, and then matches and implements accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, thereby reducing the rework or secondary processing time caused by erroneous sorting, thereby accelerating the processing speed and efficiency of the basic smart logistics conveyor line.

[0042] Specifically, the matching and implementation of the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, the specific process is: matching the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs with the accuracy improvement measures corresponding to each sorting accuracy deviation index interval stored in the smart logistics database, to obtain the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs. The above-mentioned smart logistics database refers to a database that stores relevant parameters of the smart logistics conveyor line. The above-mentioned accuracy improvement measures refer to the control system for automatically positioning the smart logistics conveyor line, which automatically generates various accuracy improvement measures for adjusting the smart logistics conveyor line based on the performance parameters of the sorting area to which the smart logistics conveyor line belongs corresponding to the historical sorting accuracy deviation index. The method of calculating the performance parameters of the sorting area belongs to the basic smart logistics conveyor line, and stores it in the smart logistics database. For example, the accuracy improvement measures include parameters for optimizing the sorting strategy and improving signal recognition. The above-mentioned matching of the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs with the accuracy improvement measures corresponding to each sorting accuracy deviation index interval stored in the smart logistics database means that each sorting accuracy deviation index interval corresponds to the accuracy improvement measures, and the sorting accuracy deviation index interval to which the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs is found. The accuracy improvement measures corresponding to the sorting accuracy deviation index interval are the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs.

[0043] Therefore, accuracy improvement measures are implemented in the sorting area to which the basic smart logistics conveyor line belongs. The above-mentioned accuracy improvement measures are jointly implemented by the control system of the automatic positioning smart logistics conveyor line and the conveyor line management personnel. The conveyor line management personnel analyze the collected data, continuously improve and optimize the accuracy improvement measures, and at the same time, according to the accuracy improvement measures, the parts of the sorting area to which the basic smart logistics conveyor line belongs are correspondingly added and replaced, and the control system of the automatic positioning smart logistics conveyor line automatically adjusts the parameters involved in the accuracy improvement measures.

[0044] Furthermore, the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs is evaluated, and the specific evaluation process is: according to the sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs, the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle is located and counted, and the total number of items to be sorted in the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle is obtained. Data processing is performed to obtain the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle, and at the same time, according to the operating parameters of the optimized smart logistics conveyor line, the sorting omission rate of the sorting area to which the optimized smart logistics conveyor line belongs within the item transmission cycle is extracted; the above-mentioned total number of sorted items refers to the total number of items to be sorted. When items pass through the sorting area to which the basic smart logistics conveyor line belongs, the high-speed counter inside the programmable logic controller receives a trigger signal, and counts the total number of sorted items; the above-mentioned total number of items to be sorted is extracted from the order data recorded in the smart logistics database; the above-mentioned total number of items to be sorted in the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle is processed, which means that the ratio of the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle to the total number of items to be sorted in the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle is subtracted from 1, thereby obtaining the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle.

[0045] The total number of correctly sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle is counted, and the ratio is processed with the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle to obtain the sorting accuracy rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle; the above-mentioned total number of correctly sorted items refers to the correctly sorted items obtained by verifying the barcodes of the sorted items, and the total number of correctly sorted items is obtained by counting them.

[0046] Collect the sorting signal reception time diagram of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle generated by the smart logistics operation platform, and perform difference processing on adjacent signal reception time points according to the sorting signal reception time diagram to obtain the sorting signal response time difference of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle, and count the number of negative values ​​of each sorting signal response time difference, thereby obtaining the number of sorting signal response errors of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle; the above-mentioned through the smart logistics operation platform refers to inputting the sorting signal information of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle into the smart logistics operation platform, and the Baidu statistics website to which the smart logistics operation platform belongs generates a sorting signal reception time diagram based on the sorting signal information; the above-mentioned sorting signal reception time diagram is as follows Figure 3As shown, the horizontal axis is the signal, the unit is the number, and the vertical axis is the signal receiving time point, the unit is milliseconds. The sorting area to which the basic smart logistics conveyor line belongs should theoretically receive signal 1 first and then receive signal 2. However, Figure 3 As shown, the signal receiving time point 4 corresponding to signal 2 is earlier than the signal receiving time point 3 corresponding to signal 1, which may cause the items to be sorted to the wrong area, resulting in sorting errors. Therefore, signal 2 is one of the sorting signal response errors in the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle.

[0047] Through this comprehensive analysis, the sorting accuracy deviation index of the sorting area to which the basic intelligent logistics conveyor line belongs is obtained.

[0048] In this embodiment, the sorting accuracy deviation index of the sorting area to which the basic intelligent logistics conveyor line belongs is obtained by comprehensively analyzing the sorting omission rate, sorting accuracy rate and number of sorting signal response errors in the sorting area to which the basic intelligent logistics conveyor line belongs during the item transmission cycle. It is used to evaluate the numerical value of the sorting accuracy deviation degree of the sorting area to which the basic intelligent logistics conveyor line belongs. The specific expression is:

[0049] μ=[1+(RO-ROY)*s1+(1-SA*s2)] -1 +SR*s3;

[0050] Among them, μ is the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs. Incorrect signal response may cause items to be sorted to the wrong location, increasing the subsequent processing cost and time cost. A large number of sorting signal response errors also leads to a large number of items being missed, requiring additional manual processing or system re-sorting, which increases the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs. The manual processing accuracy deviation is large, which leads to a reduction in the sorting accuracy of the sorting area to which the basic smart logistics conveyor line belongs. Therefore, the three parameters of sorting omission rate, sorting accuracy and number of sorting signal response errors are summarized for comprehensive analysis, so as to take accuracy improvement measures in time to optimize the smart logistics conveyor line, reduce sorting errors and omissions of items, and improve the operating efficiency of the smart logistics conveyor line.

[0051] RO is the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle. A high sorting omission rate may be caused by equipment failure, sensor errors, inaccurate sorting algorithms, and human operational errors in the sorting area to which the basic smart logistics conveyor line belongs.

[0052] SA is the sorting accuracy rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle. A low sorting accuracy rate may also be caused by equipment failure, sensor errors, inaccurate sorting algorithms and human operational errors in the sorting area to which the basic smart logistics conveyor line belongs.

[0053] SR is the number of sorting signal response errors in the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle. A large number of sorting signal response errors may be caused by sensor failure, communication problems, and software errors in the sorting area to which the basic smart logistics conveyor line belongs.

[0054] ROY is the sorting omission rate of the sorting area to which the optimized smart logistics conveyor line belongs during the item transmission cycle. Its acquisition method is the same as the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle. It is used to evaluate the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle.

[0055] s1 is the impact factor corresponding to the unit value of the sorting omission rate deviation value, s2 is the impact factor corresponding to the unit value of the sorting accuracy rate, and s3 is the impact factor corresponding to the unit value of the sorting signal response error number; the impact factor corresponding to the above-mentioned sorting omission rate deviation value unit value represents the influence of the sorting omission rate deviation value unit value on the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, and the value range is (0.40, 0.75); the impact factor corresponding to the above-mentioned sorting accuracy rate unit value represents the influence of the sorting accuracy rate unit value on the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, and the value range is (0.35, 0.65); the impact factor corresponding to the above-mentioned sorting signal response error number unit value represents the influence of the sorting signal response error number unit value on the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, and the value range is (0.14, 0.40).

[0056] In this embodiment, the numerical changes of the sorting accuracy deviation index of the sorting area to which the above-mentioned basic intelligent logistics conveyor line belongs are shown in Table 1:

[0057] Table 1 Sorting accuracy deviation index of the sorting area of ​​the basic smart logistics conveyor line

[0058]

[0059]

[0060] In this embodiment, the basic sorting omission rate in Table 1 is the sorting omission rate of the sorting area to which the basic intelligent logistics conveyor line belongs during the item transmission cycle, and the optimized sorting omission rate is the sorting omission rate of the sorting area to which the optimized intelligent logistics conveyor line belongs during the item transmission cycle. The increase in the basic sorting omission rate, the decrease in the sorting accuracy rate and the increase in the number of sorting signal response errors jointly lead to an increase in the sorting accuracy deviation index, indicating that the sorting accuracy of the sorting area to which the basic intelligent logistics conveyor line belongs has decreased.

[0061] S3. The basic smart logistics conveyor lines in the sorting area to which the basic smart logistics conveyor lines implementing accuracy improvement measures belong shall be marked as primary smart logistics conveyor lines. Meanwhile, the loss parameters of the primary smart logistics conveyor lines during transportation shall be collected, the transportation loss index of the primary smart logistics conveyor lines shall be determined, and the loss control strategies of the primary smart logistics conveyor lines shall be matched and implemented.

[0062] In a specific embodiment, the present invention determines the loss parameters of the primary smart logistics conveyor line during the transportation process, thereby matching and implementing the loss control strategy of the primary smart logistics conveyor line, thereby identifying stability problems or operational errors that may exist during the transportation process, and then taking corresponding measures to improve the transportation accuracy of the primary smart logistics conveyor line, reduce damage and loss of items during the transportation process, and improve the energy utilization efficiency of the primary smart logistics conveyor line.

[0063] Specifically, the matching and implementation of the loss control strategy of the primary smart logistics conveyor line, the specific process is: matching the conveying loss index of the primary smart logistics conveyor line with the loss control strategy corresponding to each conveying loss index interval stored in the smart logistics database, to obtain the loss control strategy of the primary smart logistics conveyor line, the above-mentioned loss control strategy refers to the control system of the automatic positioning smart logistics conveyor line, based on the performance parameters of the smart logistics conveyor line corresponding to the historical conveying loss index, automatically generates each strategy for adjusting the performance parameters of the smart logistics conveyor line, and stores it in the smart logistics database, for example, the loss control strategy includes the output current size, the output voltage size and the running speed of the smart logistics conveyor line; the above-mentioned matching of the conveying loss index of the primary smart logistics conveyor line with the loss control strategy corresponding to each conveying loss index interval stored in the smart logistics database means that each conveying loss index interval corresponds to the loss control strategy, and the conveying loss index interval to which the conveying loss index of the primary smart logistics conveyor line belongs is found, then the loss control strategy corresponding to the conveying loss index interval is the loss control strategy of the primary smart logistics conveyor line.

[0064] As a result, a loss control strategy is implemented for the primary smart logistics conveyor line; the above-mentioned implementation of the loss control strategy refers to the joint implementation by the control system of the automatic positioning smart logistics conveyor line and the conveyor line management personnel, the conveyor line management personnel analyze the collected data, continuously improve and optimize the loss control strategy, and at the same time adjust the primary smart logistics conveyor line according to the loss control strategy, and the control system of the automatic positioning smart logistics conveyor line automatically adjusts the parameters involved in the loss control strategy.

[0065] Furthermore, the transportation loss index of the primary smart logistics conveyor line is determined by the following specific determination process: according to the operating parameters of the optimized smart logistics conveyor line, the total amount of electric energy consumed by the optimized smart logistics conveyor line during the transportation monitoring period is extracted, and the difference is processed with the total amount of electric energy consumed by the primary smart logistics conveyor line during the transportation monitoring period to obtain the redundant total amount of electric energy consumed by the primary smart logistics conveyor line during the transportation monitoring period; the above-mentioned transportation monitoring period refers to the time period for analyzing the performance of the primary smart logistics conveyor line, which is formulated by the conveyor line management personnel based on the performance of the primary smart logistics conveyor line, and the length of the transportation monitoring period will vary according to actual conditions; the above-mentioned total amount of electric energy consumed is obtained by performing difference processing on the total amount of electric energy consumed recorded by the electric energy meter at the end time of the transportation monitoring period and the total amount of electric energy consumed recorded by the electric energy meter at the start time of the transportation monitoring period to obtain the total amount of electric energy consumed during the transportation monitoring period.

[0066] According to the transportation process loss parameters of the primary smart logistics conveyor line, the center point of the contact bottom surface of each conveyed item belonging to the primary smart logistics conveyor line and the center line of the conveyor belt belonging to the primary smart logistics conveyor line are located, and the distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the start time of the conveying monitoring cycle is obtained. The difference between the obtained distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the end time of the conveying monitoring cycle is processed to obtain the offset distance of each conveyed item belonging to the primary smart logistics conveyor line, and the total offset distance of the conveyed items belonging to the primary smart logistics conveyor line within the conveying monitoring cycle is obtained by accumulation; the distance between the center point of the contact bottom surface of each conveyed item at the start time of the conveying monitoring cycle and the center line of the conveyor belt refers to the distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the start time of the conveying monitoring cycle through high-definition An industrial camera takes an image of each conveyed item, and the GNU image processing program is used to identify the shape of each conveyed item. The center point of the contact surface between each conveyed item and the primary smart logistics conveyor line, that is, the center point of the contact bottom surface of each conveyed item, is analyzed and located. The center line position of the conveyor belt belonging to the primary smart logistics conveyor line is then detected and located by an infrared sensor. The distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the start time of the conveying monitoring cycle can be obtained through distance analysis, and this distance is the shortest straight-line distance. The above-mentioned distance analysis process between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the end time of the conveying monitoring cycle is the same as the distance analysis process between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the start time of the conveying monitoring cycle.

[0067] Collect the contact bottom surface images of each conveyed item belonging to the primary smart logistics conveyor line at the end time of the conveying monitoring period, and compare them with the contact bottom surface images of each conveyed item belonging to the primary smart logistics conveyor line collected at the start time of the conveying monitoring period, analyze and obtain the damaged area of ​​the contact bottom surface of each conveyed item belonging to the primary smart logistics conveyor line during the conveying monitoring period, and accumulate to obtain the total damaged area of ​​the contact bottom surface of the conveyed items belonging to the primary smart logistics conveyor line during the conveying monitoring period; the above contact bottom surface images are captured by industrial high-definition cameras; the above accumulation obtains the total damaged area of ​​the contact bottom surface of the conveyed items belonging to the primary smart logistics conveyor line The total damaged area of ​​the contact bottom surface of each transported item belonging to the primary smart logistics conveyor line during the conveying monitoring cycle refers to the use of pixel matching method to compare the contact bottom surface image of each contact bottom surface of each transported item belonging to the primary smart logistics conveyor line at the end time of the conveying monitoring cycle with the contact bottom surface image of each transported item belonging to the primary smart logistics conveyor line at the beginning time of the conveying monitoring cycle, to obtain different areas of the contact bottom surface image, and then mark the different areas as the damaged area of ​​the contact bottom surface of each transported item belonging to the primary smart logistics conveyor line during the conveying monitoring cycle, and accumulate them to obtain the total damaged area of ​​the contact bottom surface of the transported items belonging to the primary smart logistics conveyor line during the conveying monitoring cycle.

[0068] The transmission loss index of the primary smart logistics conveyor line is obtained through comprehensive analysis. It is obtained through comprehensive analysis of the total amount of redundant power consumption of the primary smart logistics conveyor line during the transmission monitoring period, the total offset distance of the conveyed items of the primary smart logistics conveyor line during the transmission monitoring period, and the total damaged area of ​​the contact bottom surface of the conveyed items of the primary smart logistics conveyor line during the transmission monitoring period. The value used to determine the degree of transmission loss of the primary smart logistics conveyor line is expressed as follows:

[0069]

[0070] Among them, ρ is the conveying loss index of the primary smart logistics conveyor line. The total amount of redundant power consumption is large, indicating that the primary smart logistics conveyor line is in high-load operation for a long time, shortening its service life. At the same time, high-load operation may cause abnormal conveying speed of the primary smart logistics conveyor line, resulting in relative sliding of the bottom of the conveyed items so that the total damaged area of ​​the contact bottom is large. Due to the relative sliding of the bottom of the conveyed items, the conveyed items are offset. If the total offset distance is too large, it may be necessary to readjust the position of the conveyed items or perform secondary handling, thereby wasting time and manpower. At the same time, a large offset distance may cause collision, extrusion and damage to the conveyed items. Comprehensive consideration of the above three factors will not only help to comprehensively evaluate the performance of the primary smart logistics conveyor line, but also provide strong data support for improving and optimizing the performance of the primary smart logistics conveyor line, thereby improving the overall efficiency and reliability of the primary smart logistics conveyor line.

[0071] XN is the total amount of redundant power consumption of the primary smart logistics conveyor line during the conveying monitoring period. The high total amount of redundant power consumption may be due to the fact that the primary smart logistics conveyor line is not optimized for the actual load and working hours, resulting in the primary smart logistics conveyor line still running during unnecessary time periods, thereby increasing unnecessary energy consumption.

[0072] LP is the total offset distance of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring period. This may be due to insufficient manufacturing and installation accuracy of the primary smart logistics conveyor line and defects in the control conveying algorithm, which may cause the items to be offset during the conveying process.

[0073] SJ is the total damaged area of ​​the bottom contact surface of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring period. A large total damaged area may indicate that the speed of the primary smart logistics conveyor line is abnormal, resulting in more wear and tear on the conveyed items during the conveying process.

[0074] e is a natural constant, r1 is the influence factor of the unit value of the total redundant electric energy consumption, r2 is the influence factor of the unit value of the offset total distance, r3 is the influence factor of the unit value of the total damaged area, the influence factor of the above-mentioned unit value of the total redundant electric energy consumption represents the influence of the unit value of the total redundant electric energy consumption on the transportation loss index of the primary smart logistics conveyor line, and the value range is 0.21 to 0.34; the influence factor of the above-mentioned unit value of the offset total distance represents the influence of the unit value of the offset total distance on the transportation loss index of the primary smart logistics conveyor line, and the value range is 0.12 to 0.56; the influence factor of the above-mentioned unit value of the total damaged area represents the influence of the unit value of the total damaged area on the transportation loss index of the primary smart logistics conveyor line, and the value range is 0.22 to 0.60.

[0075] S4. Mark the primary smart logistics conveyor line that implements the loss control strategy as the optimized smart logistics conveyor line to be verified, obtain the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, analyze the control optimization degree of the optimized smart logistics conveyor line to be verified, and provide feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified.

[0076] Specifically, the feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified is as follows: according to the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, the total damaged area of ​​the contact bottom surface of the transported items of the optimized smart logistics conveyor line to be verified within the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period are extracted; the above-mentioned control verification period refers to the time period for analyzing the performance of the optimized smart logistics conveyor line to be verified, which is formulated by the conveyor line management personnel based on the performance of the optimized smart logistics conveyor line to be verified, and the length of the control verification period will vary according to actual conditions; the above-mentioned method for obtaining the total damaged area is the same as the method for obtaining the total damaged area of ​​the contact bottom surface of the transported items of the primary smart logistics conveyor line within the conveying monitoring period, and the above-mentioned method for obtaining the sorting accuracy is the same as the method for obtaining the sorting accuracy of the sorting area of ​​the basic smart logistics conveyor line within the item transmission period.

[0077] At the same time, according to the operating parameters of the optimized smart logistics conveyor line, the total damaged area of ​​the bottom surface of the transported items of the optimized smart logistics conveyor line during the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line during the control verification period are extracted; a comprehensive analysis is conducted to obtain the control optimization degree of the optimized smart logistics conveyor line to be verified. The method for obtaining the above-mentioned total damaged area is the same as the method for obtaining the total damaged area of ​​the bottom surface of the transported items of the primary smart logistics conveyor line during the conveying monitoring period. The method for obtaining the above-mentioned sorting accuracy is the same as the method for obtaining the sorting accuracy of the sorting area of ​​the basic smart logistics conveyor line during the item transmission period.

[0078] The control optimization degree of the optimized smart logistics conveyor line to be verified is obtained in this embodiment through comprehensive analysis of the total damaged area of ​​the bottom surface of the conveyed items of the optimized smart logistics conveyor line to be verified within the control verification period and the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period. The numerical value used to analyze the control optimization degree of the optimized smart logistics conveyor line to be verified is specifically expressed as follows:

[0079]

[0080] Among them, φ is the control optimization degree of the optimized smart logistics conveyor line to be verified. If the total damaged area of ​​the bottom contact surface of the conveyed items belonging to the optimized smart logistics conveyor line to be verified is significantly larger than the total damaged area of ​​the optimized smart logistics conveyor line in the corresponding period, and if the sorting accuracy of the sorting area to which the optimized smart logistics conveyor line to be verified within the control verification period is significantly lower than the sorting accuracy of the total damaged area in the corresponding period of the optimized smart logistics conveyor line, then the control optimization degree of the optimized smart logistics conveyor line to be verified is small, indicating that the optimized smart logistics conveyor line to be verified has not been adjusted to the ideal requirements. Therefore, comparing and analyzing the performance of the optimized smart logistics conveyor line to be verified in the same time period with that of the optimized smart logistics conveyor line can reduce the deviation of the analysis results caused by different external factors, which is conducive to more accurate evaluation of the performance of the optimized conveyor line to be verified, and providing clear data support for conveyor line managers to formulate improvement plans.

[0081] SAD is the total damaged area of ​​the bottom contact surface of the conveyed items of the optimized smart logistics conveyor line to be verified during the control verification period, reflecting the actual effect of the loss control strategy.

[0082] SJD is the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification cycle, reflecting the actual effect of the accuracy improvement measures.

[0083] SAY is the total damaged area of ​​the bottom surface of the conveyed items of the optimized smart logistics conveyor line during the control verification cycle, and provides a reference standard for the total damaged area of ​​the bottom surface of the conveyed items of the optimized smart logistics conveyor line to be verified during the control verification cycle.

[0084] SJY is the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line within the control verification cycle, and provides a reference standard for the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification cycle.

[0085] w1 is the influence factor corresponding to the unit area of ​​the damage deviation area, and w2 is the influence factor corresponding to the unit value of the sorting accuracy deviation value; the influence factor corresponding to the unit area of ​​the above-mentioned damage deviation area refers to the influence degree of the unit value of the difference between the total damage area of ​​the contact bottom surface of the transported items belonging to the optimized smart logistics conveyor line to be verified during the control verification period and the total damage area of ​​the contact bottom surface of the transported items belonging to the optimized smart logistics conveyor line during the control verification period, and its numerical range is 0.2 to 0.65, and it is 0.5 in this embodiment; the influence factor corresponding to the unit value of the above-mentioned sorting accuracy deviation value refers to the influence degree of the unit value of the difference between the total damage area of ​​the contact bottom surface of the transported items belonging to the optimized smart logistics conveyor line during the control verification period and the sorting accuracy of the sorting area belonging to the optimized smart logistics conveyor line during the control verification period, and its numerical range is 0.15 to 0.78, and it is 0.3 in this embodiment.

[0086] In this embodiment, the numerical changes of the control optimization degree of the above-mentioned optimized intelligent logistics conveyor line to be verified are shown in Table 2:

[0087] Table 2 Control optimization degree of the optimized intelligent logistics conveyor line to be verified

[0088]

[0089]

[0090] In this embodiment, the total damaged area to be verified and the sorting accuracy to be verified in Table 2 are respectively the total damaged area of ​​the contact bottom surface of the transported items of the optimized smart logistics conveyor line to be verified during the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line to be verified during the control verification period; the optimized total damaged area and the optimized sorting accuracy are respectively the total damaged area of ​​the contact bottom surface of the transported items of the optimized smart logistics conveyor line during the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line during the control verification period. It can be seen from Table 2 that the optimized smart logistics conveyor line to be verified is close to the level of the optimized smart logistics conveyor line in terms of sorting accuracy, but there is still much room for improvement in terms of the total damaged area of ​​the contact bottom surface of the transported items.

[0091] The control optimization degree of the optimized smart logistics conveyor line to be verified is compared with the control optimization threshold. If the control optimization degree of the optimized smart logistics conveyor line to be verified is less than the control optimization threshold, the positioning control degree of the optimized smart logistics conveyor line to be verified is fed back. The above control optimization threshold is extracted from the logistics industry specifications and is used to determine the minimum limit value of the control optimization degree of the optimized smart logistics conveyor line to be verified. The above feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified means that the control optimization degree of the optimized smart logistics conveyor line to be verified is less than the control optimization threshold, indicating that the optimized smart logistics conveyor line to be verified has been automatically positioned after the smart logistics conveyor line is automatically positioned. After the control method of the conveying line is adjusted, the performance still does not meet the ideal requirements, that is, the degree of positioning control is low. Therefore, the control system of the automatic positioning smart logistics conveyor line generates a feedback signal of the optimized smart logistics conveyor line to be verified, and the conveyor line manager manually adjusts the optimized smart logistics conveyor line to be verified based on the feedback signal, and continues to execute S1 after the adjustment; if the control optimization degree of the optimized smart logistics conveyor line to be verified is greater than or equal to the control optimization threshold, it means that after the control method of the automatic positioning smart logistics conveyor line is adjusted, the performance of the optimized smart logistics conveyor line to be verified meets the ideal requirements, that is, the degree of positioning control is high, so no feedback is needed, and thus S1 continues to be executed.

[0092] In a specific embodiment, the present invention provides a control method, system and storage medium for automatically positioning a smart logistics conveyor line. The method can automatically and accurately position an optimized smart logistics conveyor line by analyzing the pressure warning index of each smart logistics conveyor line, and then evaluate the sorting accuracy deviation index of the sorting area of ​​the basic smart logistics conveyor line, take corresponding accuracy improvement measures to improve the reliability of the sorting area of ​​the basic smart logistics conveyor line, and at the same time determine the transportation loss index of the primary smart logistics conveyor line to take corresponding loss control strategies, which can effectively reduce resource waste and improve the operating efficiency of the primary smart logistics conveyor line. Finally, by analyzing the control optimization degree of the optimized smart logistics conveyor line to be verified, the positioning control degree feedback is realized to ensure the efficient and stable operation of the smart logistics conveyor line; not only the intelligence level of logistics transportation is improved, but also the accuracy and efficiency of logistics sorting are significantly improved through precise control and feedback mechanisms.

[0093] Reference Figure 2 As shown, the second aspect of the present invention provides a control system for automatically positioning a smart logistics conveyor line, including: an optimization positioning module; an accurate evaluation module; a loss determination module; and a control feedback module.

[0094] The optimization positioning module is connected to the accurate evaluation module, the accurate evaluation module is connected to the loss determination module, and the loss determination module is connected to the control feedback module.

[0095] The optimization positioning module is used to obtain the pressure parameters of each smart logistics conveyor line, analyze the pressure warning index of each smart logistics conveyor line, and automatically locate the optimized smart logistics conveyor line.

[0096] The accurate assessment module is used to collect the operating parameters of the optimized smart logistics conveyor line, and at the same time obtain the sorting operating parameters of the sorting area to which the basic smart logistics conveyor line belongs, evaluate the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, and match and implement accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs.

[0097] The loss determination module is used to mark the basic smart logistics conveyor lines in the sorting area to which the basic smart logistics conveyor lines implementing accuracy improvement measures belong as primary smart logistics conveyor lines, and at the same time collect the transportation process loss parameters of the primary smart logistics conveyor lines, determine the transportation loss index of the primary smart logistics conveyor lines, and match and implement the loss control strategy of the primary smart logistics conveyor lines.

[0098] The control feedback module is used to mark the primary smart logistics conveyor line that implements the loss control strategy as the optimized smart logistics conveyor line to be verified, obtain the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, analyze the control optimization degree of the optimized smart logistics conveyor line to be verified, and thereby provide feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified.

[0099] The third aspect of the present invention provides a device for a control method for automatically positioning a smart logistics conveyor line, characterized in that it includes: a smart logistics conveyor line and a smart logistics operation platform; the smart logistics conveyor line is connected to the smart logistics operation platform via the Internet, and the control optimization of the smart logistics conveyor line is performed through a remote data transmission function; a pressure sensor is used to measure the real-time pressure values ​​of each pressure sensor position point of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle, and screen out the abnormal pressure values ​​of the conveyor belt belonging to each smart logistics conveyor line during the item transmission cycle; a speed sensor is used to measure the real-time rotation speed of the motor belonging to each smart logistics conveyor line, thereby analyzing and obtaining the real-time working frequencies of the motor belonging to each smart logistics conveyor line during the item transmission cycle; a temperature sensor is used to measure the temperature value of each temperature measurement position point of each smart logistics conveyor line at the end time of the item transmission cycle; a processor is used to obtain each abnormal pressure value, each real-time working frequency and temperature value and perform a comprehensive analysis, thereby providing feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified.

[0100] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A control method for automatically positioning a smart logistics conveyor line, characterized in that: include: S1. Obtain the pressure parameters of each smart logistics conveyor line, analyze the pressure warning index of each smart logistics conveyor line, and automatically locate the optimized smart logistics conveyor line. The pressure parameters of each smart logistics conveyor line include the position points of each pressure sensor of the conveyor belt to which each smart logistics conveyor line belongs. The pressure warning index of each smart logistics conveyor line is specifically expressed as follows: ； in, For the The pressure warning index of the smart logistics conveyor line, For the The working frequency fluctuation value of the motor of a smart logistics conveyor line during the item transmission cycle, For the The temperature distribution of the smart logistics conveyor line is poor. For the The conveyor belt of a smart logistics conveyor line is in the first Abnormal pressure value, is the pressure limit value, is the influencing factor of the unit value of the operating frequency fluctuation value, is the influence factor of the unit value of the temperature distribution difference, is the correction factor for abnormal pressure value, is the number of each smart logistics conveyor line, , is the total number of smart logistics conveyor lines, is the number of each abnormal pressure value, , is the total number of abnormal pressure values; S2. Collect the operating parameters of the optimized smart logistics conveyor line, and at the same time obtain the sorting operating parameters of the sorting area to which the basic smart logistics conveyor line belongs, evaluate the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, match and implement the accuracy improvement measures of the sorting area to which the basic smart logistics conveyor line belongs, the operating parameters of the optimized smart logistics conveyor line include the sorting omission rate of the sorting area to which the optimized smart logistics conveyor line belongs during the item transmission cycle, the total amount of power consumed by the optimized smart logistics conveyor line during the transmission monitoring cycle, the sorting operating parameters of the sorting area to which the basic smart logistics conveyor line belongs include the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle, and the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, the specific expression is: ； in, It is the sorting accuracy deviation index of the sorting area of ​​the basic intelligent logistics conveyor line. The sorting omission rate of the sorting area of ​​the basic intelligent logistics conveyor line during the item transmission cycle. The sorting accuracy rate of the sorting area of ​​the basic intelligent logistics conveyor line during the item transmission cycle. The number of sorting signal response errors in the sorting area of ​​the basic smart logistics conveyor line during the item transmission cycle. To optimize the sorting omission rate of the sorting area of ​​the intelligent logistics conveyor line during the item transmission cycle, is the impact factor corresponding to the unit value of the sorting omission rate deviation, is the influencing factor corresponding to the unit value of sorting accuracy, is the impact factor corresponding to the unit value of the sorting signal response error number; S3. The basic smart logistics conveyor lines in the sorting area to which the basic smart logistics conveyor lines implementing the accuracy improvement measures belong are marked as primary smart logistics conveyor lines. At the same time, the transportation process loss parameters of the primary smart logistics conveyor lines are collected, and the transportation loss index of the primary smart logistics conveyor lines is determined. The loss control strategy of the primary smart logistics conveyor lines is matched and implemented. The transportation loss index of the primary smart logistics conveyor lines is specifically expressed as follows: ； in, is the transmission loss index of the primary smart logistics transmission line, It is the total amount of redundant power consumption of the primary smart logistics conveyor line during the conveying monitoring cycle. It is the total offset distance of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring cycle. It is the total damaged area of ​​the bottom surface of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring period. is a natural constant, is the influencing factor of the total unit value of redundant power consumption, is the influence factor of the total distance unit value offset, is the influencing factor of the unit value of the total damaged area; S4. Mark the primary smart logistics conveyor line implementing the loss control strategy as the optimized smart logistics conveyor line to be verified, obtain the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, analyze the control optimization degree of the optimized smart logistics conveyor line to be verified, and thus provide feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified. The feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified is specifically as follows: According to the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, the total damaged area of ​​the bottom contact surface of the conveyed items of the optimized smart logistics conveyor line to be verified within the control verification period and the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period are extracted; At the same time, according to the operating parameters of the optimized smart logistics conveyor line, the total damaged area of ​​the bottom surface of the conveyed items of the optimized smart logistics conveyor line within the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line within the control verification period are extracted, and the control optimization degree of the optimized smart logistics conveyor line to be verified is obtained through comprehensive analysis; The control optimization degree of the optimized smart logistics conveyor line to be verified is compared with the control optimization threshold. If the control optimization degree of the optimized smart logistics conveyor line to be verified is less than the control optimization threshold, feedback is given on the positioning control degree of the optimized smart logistics conveyor line to be verified.

2. According to claim 1, a control method for automatically positioning a smart logistics conveyor line is characterized in that: The specific analysis process of analyzing the pressure warning index of each smart logistics conveyor line is as follows: According to the pressure parameters of each smart logistics conveyor line, locate the position points of each pressure sensor of the conveyor belt of each smart logistics conveyor line, obtain the real-time pressure values ​​of each pressure sensor position point of the conveyor belt of each smart logistics conveyor line during the item transmission cycle, and compare them with the pressure limit value to obtain the abnormal pressure values ​​of the conveyor belt of each smart logistics conveyor line during the item transmission cycle; At the same time, the real-time working frequencies of the motors of each smart logistics conveyor line during the item transmission cycle are collected, the maximum real-time working frequency and the minimum real-time working frequency are screened out, and the difference processing is performed to obtain the working frequency fluctuation value of the motors of each smart logistics conveyor line during the item transmission cycle; Temperature measurement points are randomly arranged on each smart logistics conveyor line, and the temperature values ​​of each temperature measurement point of each smart logistics conveyor line at the end time of the item transmission cycle are collected. The temperature differences of each smart logistics conveyor line are obtained through data analysis, and the temperature differences of each smart logistics conveyor line are sorted in order from large to small. The temperature difference ranked first and the temperature difference ranked last of each smart logistics conveyor line are analyzed, and the temperature distribution difference of each smart logistics conveyor line is obtained. Based on this comprehensive analysis, the pressure warning index of each smart logistics conveyor line is obtained.

3. The control method for automatically positioning a smart logistics conveyor line according to claim 2 is characterized in that: The specific process of the automatic positioning optimization intelligent logistics conveyor line is as follows: The pressure warning indexes of each smart logistics conveyor line are sorted in ascending order, and the pressure warning index ranked first is selected, and the smart logistics conveyor line corresponding to the pressure warning index is marked as an optimized smart logistics conveyor line. At the same time, the pressure warning index ranked last is selected, and the smart logistics conveyor line corresponding to the pressure warning index is marked as a basic smart logistics conveyor line, thereby realizing automatic positioning of the optimized smart logistics conveyor line.

4. The control method for automatically positioning a smart logistics conveyor line according to claim 1 is characterized in that: The evaluation is based on the sorting accuracy deviation index of the sorting area to which the intelligent logistics conveyor line belongs. The specific evaluation process is as follows: According to the sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs, locate and count the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle, and perform data processing with the total number of items to be sorted in the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle to obtain the sorting omission rate of the sorting area to which the basic smart logistics conveyor line belongs during the item transmission cycle. At the same time, according to the operation parameters of the optimized smart logistics conveyor line, extract the sorting omission rate of the sorting area to which the optimized smart logistics conveyor line belongs during the item transmission cycle; The total number of correctly sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle is counted, and the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle is compared with the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle to obtain the sorting accuracy rate of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle; The sorting signal reception time diagram of the sorting area to which the basic smart logistics conveyor line belongs generated by the smart logistics operation platform is collected within the item transmission cycle. According to the sorting signal reception time diagram, adjacent signal reception time points are differenced to obtain the sorting signal response time difference of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle. The number of negative values ​​of the sorting signal response time difference is counted to obtain the number of sorting signal response errors of the sorting area to which the basic smart logistics conveyor line belongs within the item transmission cycle. Based on this comprehensive analysis, the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs is obtained.

5. The control method for automatically positioning a smart logistics conveyor line according to claim 4 is characterized in that: The specific process of matching and implementing the accuracy improvement measures for the sorting area of ​​the basic smart logistics conveyor line is as follows: The sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs is matched with the accuracy improvement measures corresponding to each sorting accuracy deviation index interval stored in the smart logistics database to obtain the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs, thereby implementing the accuracy improvement measures for the sorting area to which the basic smart logistics conveyor line belongs.

6. The control method for automatically positioning a smart logistics conveyor line according to claim 1 is characterized in that: The specific determination process of determining the transmission loss index of the primary intelligent logistics transmission line is as follows: According to the operating parameters of the optimized smart logistics conveyor line, the total amount of power consumed by the optimized smart logistics conveyor line during the conveying monitoring period is extracted, and the difference is processed with the total amount of power consumed by the primary smart logistics conveyor line during the conveying monitoring period to obtain the total amount of redundant power consumed by the primary smart logistics conveyor line during the conveying monitoring period; According to the transportation process loss parameters of the primary smart logistics conveyor line, locate the center point of the contact bottom surface of each conveyed item belonging to the primary smart logistics conveyor line and the center line of the conveyor belt belonging to the primary smart logistics conveyor line, obtain the distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the start time of the conveying monitoring cycle, and perform difference processing with the obtained distance between the center point of the contact bottom surface of each conveyed item and the center line of the conveyor belt at the end time of the conveying monitoring cycle to obtain the offset distance of each conveyed item belonging to the primary smart logistics conveyor line, and obtain the total offset distance of the conveyed items belonging to the primary smart logistics conveyor line within the conveying monitoring cycle by accumulation; Collect the contact bottom surface images of each conveyed item belonging to the primary smart logistics conveyor line at the end time of the conveying monitoring period, and compare them with the contact bottom surface images of each conveyed item belonging to the primary smart logistics conveyor line collected at the beginning time of the conveying monitoring period, analyze and obtain the damaged area of ​​the contact bottom surface of each conveyed item belonging to the primary smart logistics conveyor line during the conveying monitoring period, and add up the total damaged area of ​​the contact bottom surface of the conveyed items belonging to the primary smart logistics conveyor line during the conveying monitoring period, and thus comprehensively analyze and obtain the conveying loss index of the primary smart logistics conveyor line.

7. The control method for automatically positioning a smart logistics conveyor line according to claim 6 is characterized in that: The loss control strategy for matching and implementing the primary smart logistics conveyor line is specifically analyzed as follows: The conveying loss index of the primary smart logistics conveyor line is matched with the loss control strategy corresponding to each conveying loss index interval stored in the smart logistics database to obtain the loss control strategy of the primary smart logistics conveyor line, thereby implementing the loss control strategy for the primary smart logistics conveyor line.

8. A control system for automatically positioning a smart logistics conveyor line, characterized in that: include: The optimization positioning module is used to obtain the pressure parameters of each smart logistics conveyor line, analyze the pressure warning index of each smart logistics conveyor line, and automatically locate the optimized smart logistics conveyor line. The pressure parameters of each smart logistics conveyor line include the position points of each pressure sensor of the conveyor belt to which each smart logistics conveyor line belongs. The specific expression of the pressure warning index of each smart logistics conveyor line is: ； in, For the The pressure warning index of the smart logistics conveyor line, For the The working frequency fluctuation value of the motor of a smart logistics conveyor line during the item transmission cycle, For the The temperature distribution of the smart logistics conveyor line is poor. For the The conveyor belt of a smart logistics conveyor line is in the first Abnormal pressure value, is the pressure limit value, is the influencing factor of the unit value of the operating frequency fluctuation value, is the influence factor of the unit value of the temperature distribution difference, is the correction factor for abnormal pressure value, is the number of each smart logistics conveyor line, , is the total number of smart logistics conveyor lines, is the number of each abnormal pressure value, , is the total number of abnormal pressure values; The accurate evaluation module is used to collect the operating parameters of the optimized smart logistics conveyor line, and at the same time obtain the sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs, evaluate the sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs, match and implement the accuracy improvement measures of the sorting area to which the basic smart logistics conveyor line belongs. The operating parameters of the optimized smart logistics conveyor line include the sorting omission rate of the sorting area to which the optimized smart logistics conveyor line belongs during the item transmission cycle, and the total amount of power consumed by the optimized smart logistics conveyor line during the transmission monitoring cycle. The sorting operation parameters of the sorting area to which the basic smart logistics conveyor line belongs include the total number of sorted items in the sorting area to which the basic smart logistics conveyor line belongs at the end time of the item transmission cycle. The sorting accuracy deviation index of the sorting area to which the basic smart logistics conveyor line belongs is specifically expressed as follows: ； in, It is the sorting accuracy deviation index of the sorting area of ​​the basic intelligent logistics conveyor line. The sorting omission rate of the sorting area of ​​the basic intelligent logistics conveyor line during the item transmission cycle. The sorting accuracy rate of the sorting area of ​​the basic intelligent logistics conveyor line during the item transmission cycle. The number of sorting signal response errors in the sorting area of ​​the basic smart logistics conveyor line during the item transmission cycle. To optimize the sorting omission rate of the sorting area of ​​the intelligent logistics conveyor line during the item transmission cycle, is the impact factor corresponding to the unit value of the sorting omission rate deviation, is the influencing factor corresponding to the unit value of sorting accuracy, is the impact factor corresponding to the unit value of the sorting signal response error number; The loss determination module is used to mark the basic smart logistics conveyor lines in the sorting area to which the basic smart logistics conveyor lines implementing accuracy improvement measures belong as primary smart logistics conveyor lines, and collect the loss parameters of the transportation process of the primary smart logistics conveyor lines, determine the transportation loss index of the primary smart logistics conveyor lines, match and implement the loss control strategy of the primary smart logistics conveyor lines, and the specific expression of the transportation loss index of the primary smart logistics conveyor lines is: ； in, is the transmission loss index of the primary smart logistics transmission line, It is the total amount of redundant power consumption of the primary smart logistics conveyor line during the conveying monitoring cycle. It is the total offset distance of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring cycle. It is the total damaged area of ​​the bottom surface of the conveyed items of the primary smart logistics conveyor line during the conveying monitoring period. is a natural constant, is the influencing factor of the total unit value of redundant power consumption, is the influence factor of the total distance unit value offset, is the influencing factor of the unit value of the total damaged area; The control feedback module is used to mark the primary smart logistics conveyor line implementing the loss control strategy as the optimized smart logistics conveyor line to be verified, obtain the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, analyze the control optimization degree of the optimized smart logistics conveyor line to be verified, and thus provide feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified. The specific feedback process of providing feedback on the positioning control degree of the optimized smart logistics conveyor line to be verified is as follows: According to the positioning optimization parameters of the optimized smart logistics conveyor line to be verified, the total damaged area of ​​the bottom contact surface of the conveyed items of the optimized smart logistics conveyor line to be verified within the control verification period and the sorting accuracy rate of the sorting area of ​​the optimized smart logistics conveyor line to be verified within the control verification period are extracted; At the same time, according to the operating parameters of the optimized smart logistics conveyor line, the total damaged area of ​​the bottom surface of the conveyed items of the optimized smart logistics conveyor line within the control verification period and the sorting accuracy of the sorting area of ​​the optimized smart logistics conveyor line within the control verification period are extracted, and the control optimization degree of the optimized smart logistics conveyor line to be verified is obtained through comprehensive analysis; The control optimization degree of the optimized smart logistics conveyor line to be verified is compared with the control optimization threshold. If the control optimization degree of the optimized smart logistics conveyor line to be verified is less than the control optimization threshold, feedback is given on the positioning control degree of the optimized smart logistics conveyor line to be verified.

9. A device using a control method for automatically positioning a smart logistics conveyor line as claimed in any one of claims 1 to 7, characterized in that: include: Smart logistics conveyor lines and smart logistics operation platforms; The smart logistics conveyor line is connected to the smart logistics operation platform via the Internet, and the control optimization of the smart logistics conveyor line is performed through the remote data transmission function; The pressure sensor is used to measure the real-time pressure values ​​of each pressure sensor position point of the conveyor belt of each smart logistics conveyor line during the item transmission cycle, and screen out the abnormal pressure values ​​of the conveyor belt of each smart logistics conveyor line during the item transmission cycle; The speed sensor is used to measure the real-time rotation speed of the motors of each smart logistics conveyor line, thereby analyzing and obtaining the real-time operating frequencies of the motors of each smart logistics conveyor line during the item transmission cycle; Temperature sensors are used to measure the temperature values ​​of each temperature measurement point on each smart logistics conveyor line at the end of the item transmission cycle; The processor is used to obtain various abnormal pressure values, real-time operating frequencies and temperature values ​​and conduct comprehensive analysis, thereby providing feedback on the degree of positioning control of the optimized smart logistics conveyor line to be verified.

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