Logistics information acquisition and tracking system and method

Abstract

The invention discloses a logistics information acquisition and tracking system and method, and relates to the technical field of logistics management, and the main scheme is that the method comprises the steps: collecting multiple data of a logistics package; calculating a driving distance, and further obtaining a position deviation value; respectively calculating the average speed and the predicted arrival time, and further obtaining a time deviation value; calculating the matching degree of the logistics track and the delivery address; according to the position deviation value, the time deviation value and the matching degree of the logistics track and the delivery address, calculating a logistics comprehensive state index; judging whether the logistics state is abnormal or not according to a preset threshold value; respectively calculating a weather influence index and a road condition influence index, and further calculating a logistics delay risk coefficient; calculating and querying the accuracy of the position of the parcel, obtaining a logistics information transmission stability index, and presetting a threshold value to judge whether logistics information transmission is stable or not; according to the method, the logistics state and the information transmission stability can be comprehensively monitored, abnormity can be found in time, an alarm is given out, the logistics efficiency can be improved, and the risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a logistics information collection and tracking system and method. Background Art

[0002] In the modern logistics industry, with the booming development of e-commerce, the volume of logistics business has exploded. However, the current logistics field faces many problems in information collection and tracking. For example, the logistics process involves multiple links, and the amount of data generated in each link is huge and complex. These data include cargo location, transportation status, environmental conditions, etc., but in actual operations, data collection is often untimely and inaccurate, resulting in lag and distortion of logistics information. How to ensure the stable collection and continuous tracking of logistics information in various complex environments is also a major challenge.

[0003] Existing logistics information collection and tracking technologies mainly obtain relevant data by installing sensors and positioning devices on transportation vehicles, storage shelves and other transportation equipment. For example, GPS technology is used to locate transportation vehicles, and sensors are used to collect information such as the vehicle's driving speed and the temperature and humidity of the goods. These data will be transmitted to the logistics company's server, and the server will then process the relevant information and provide it to users for query.

[0004] Although existing technologies have achieved certain results in logistics information collection and tracking, there are still some defects. For the actual status of goods during transportation, existing sensors cannot fully and accurately collect all factors that affect the quality of goods, and cannot accurately measure and evaluate. In addition, existing technologies are not accurate enough in assessing the risk of logistics delays. For example, existing methods may not fully consider the comprehensive impact of multiple factors such as road conditions, weather, and the importance of goods on logistics delays, but simply judge based on the vehicle's driving speed and estimated driving time. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a logistics information collection and tracking system and method, which collects multiple data of logistics packages; calculates the driving distance to further obtain the position deviation value; respectively calculates the average speed and the estimated arrival time to further obtain the time deviation value; calculates the matching degree of the logistics trajectory and the delivery address; calculates the comprehensive logistics status index according to the position deviation value, the time deviation value and the matching degree of the logistics trajectory and the delivery address; presets a threshold to determine whether the logistics status is abnormal; respectively calculates the weather impact index and the road condition impact index, and then calculates the logistics delay risk coefficient; calculates the accuracy of the package location query, and obtains the logistics information transmission stability index, and presets a threshold to determine whether the logistics information transmission is stable, thereby solving the problems of errors in locating the package location and inaccurate grasp of the package status.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a logistics information collection and tracking method, comprising: Step 1: Collect road driving data, transportation status information data and environmental parameter data of logistics packages; Step 2: Calculate the driving distance PN based on the road driving data and transportation status information data; calculate the position deviation value based on the driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, calculate the matching degree MAC between the logistics track and the delivery address; Step 3: According to the position deviation value , time deviation value The matching degree MAC between the logistics track and the delivery address is used to calculate the comprehensive logistics status indicator KLP; a threshold value of the comprehensive logistics status indicator is preset, and the comprehensive logistics status indicator KLP is compared with the threshold value of the comprehensive logistics status indicator, and whether the logistics status is abnormal is determined according to the result; when the logistics status is abnormal, an alarm signal is issued; Step 4: When the logistics status is normal, the weather impact index WS is calculated based on the environmental parameter data, and the road condition impact index CS is calculated based on the weather impact index WS and road driving data; the logistics delay risk index LDRI is calculated based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS; Step 5: Calculate the parcel location accuracy ALO based on the logistics delay risk index LDRI; calculate the logistics information transmission stability index SIT based on the logistics delay risk index LDRI and the parcel location accuracy ALO; preset the logistics information transmission stability index threshold, compare the logistics information transmission stability index SIT with the logistics information transmission stability index threshold, and judge whether the logistics information transmission is stable based on the result; if the logistics information transmission is unstable, trigger the early warning device.

[0007] In the preferred embodiment of the above-mentioned logistics information collection and tracking method: calculating the position deviation value The method is: Road driving data includes the initial speed V0, initial time t0 and current time t of the logistics transportation equipment; The transport status information data includes the total mass M of the logistics transport equipment and the goods and the windward area A of the logistics transport equipment; According to the initial speed V0 of the logistics transportation equipment, the initial time t0, the current time t, the total mass M of the logistics transportation equipment and the goods, and the windward area A of the logistics transportation equipment, the travel distance PN is calculated based on the following formula: Among them, k1 is the proportionality coefficient; V is the instantaneous speed of the logistics transportation equipment after time t; C is the air resistance coefficient; ρ is the air density; Calculate the position deviation value based on the driving distance PN , the calculation formula is: Among them, PE is the planned driving distance.

[0008] In the preferred embodiment of the above-mentioned logistics information collection and tracking method: calculating the time deviation value The method is: The road driving data also includes the instantaneous speed VG of the logistics transportation equipment at the current time; According to the initial time t0, the current time t, the initial speed V0 of the logistics transportation equipment and the instantaneous speed VG of the logistics transportation equipment at the current time, the average speed V is calculated. avg , the calculation formula is: Where a is the acceleration; According to the travel distance PN, current time t and average speed V avg , calculate the estimated arrival time TA, the calculation formula is: Among them, DT is the total distance; Based on the estimated arrival time TA, calculate the time deviation value , the formula based on is: Among them, TF is the planned arrival time.

[0009] In the preferred embodiment of the above-mentioned logistics information collection and tracking method, the method for calculating the matching degree MAC between the logistics track and the delivery address is: The road driving data also includes the number of turns NRG from the current location to the delivery address and the number of turns NTY throughout the journey; According to the driving distance PN, the number of turns NRG from the current location to the delivery address, and the number of turns NTY during the entire journey, the matching degree MAC between the logistics track and the delivery address is calculated based on the following formula: Among them, TRD is the estimated remaining time from the current location to the delivery address; TT is the estimated total time for the entire logistics process.

[0010] In the preferred embodiment of the above-mentioned logistics information collection and tracking method, the method for determining whether the logistics status is abnormal is: According to the position deviation value , time deviation value And the matching degree MAC between the logistics track and the delivery address, calculate the comprehensive logistics status index KLP, the calculation formula is: Among them, φ1 is the position deviation value The weight coefficient is 0.2~0.4; φ2 is the time deviation value The weight coefficient is 0.3~0.5; φ3 is the weight coefficient of the matching degree MAC between the logistics track and the delivery address, which is 0.1~0.5; and φ1+φ2+φ3=1; Preset logistics comprehensive status indicator threshold KLP th ; When KLP ≤ KLP th When KLP>KLP th When the logistics status is abnormal, an alarm signal is issued.

[0011] In the preferred embodiment of the above-mentioned method for collecting and tracking logistics information, the method for calculating the road condition impact index CS is: Environmental parameter data include precipitation intensity PP, wind speed WI and temperature HI; Road driving data also includes the distance to congested sections (TCO) and the travel time to congested sections (DJK); According to the precipitation intensity PP, wind speed WI and temperature HI, the weather impact index WS is calculated using the following formula: Among them, ω1 is the weight coefficient of precipitation intensity PP, which is 0.1~0.3; ω2 is the weight coefficient of wind speed WI, which is 0.3~0.4; ω3 is the weight coefficient of temperature HI, which is 0.3~0.5; and ω1+ω2+ω3=1; According to the weather impact index WS, the distance to the congested section TCO and the travel time on the congested section DJK, the road condition impact index CS is calculated. The specific formula is: Where SV is the road quality coefficient.

[0012] In the preferred embodiment of the above-mentioned method for collecting and tracking logistics information: the method for calculating the logistics delay risk index LDRI is: According to the comprehensive logistics status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS, the logistics delay risk index LDRI is calculated. The calculation formula is: Among them, MS is the cargo importance coefficient.

[0013] In the preferred embodiment of the above-mentioned logistics information collection and tracking method, the method for calculating the accuracy of the query package location ALO is: Based on the logistics delay risk index LDRI, the query package location accuracy ALO is calculated using the following formula: Where EC is the dynamic error.

[0014] In the preferred embodiment of the above-mentioned logistics information collection and tracking method, the method for judging whether the logistics information transmission is stable is: According to the logistics delay risk index LDRI and the accuracy of the query package location ALO, the stability index SIT of logistics information transmission is calculated. The calculation formula is: Among them, F rate is the data transmission failure rate; T fluctuation is the time fluctuation coefficient; Preset logistics information transmission stability index threshold SIT th ; When SIT≤SIT th When the logistics information transmission is in a stable state; When SIT>SIT th When the logistics information transmission is in an unstable state, the early warning device is triggered.

[0015] The present invention also discloses a logistics information collection and tracking system, which is used to implement the above-mentioned logistics information collection and tracking method, including: Data collection module, used to collect road travel data, transportation status information data and environmental parameter data of logistics packages; Data processing module, used for road driving data and transportation status information data, calculates driving distance PN; calculates position deviation value based on driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, calculate the matching degree MAC between the logistics track and the delivery address; The judgment module is used to determine the position deviation value. , time deviation value The matching degree MAC between the logistics track and the delivery address is used to calculate the comprehensive logistics status indicator KLP; a threshold value of the comprehensive logistics status indicator is preset, and the comprehensive logistics status indicator KLP is compared with the threshold value of the comprehensive logistics status indicator, and whether the logistics status is abnormal is determined according to the result; when the logistics status is abnormal, an alarm signal is issued; The delay risk module is used to calculate the weather impact index WS based on the environmental parameter data when the logistics status is normal, and calculate the road condition impact index CS based on the weather impact index WS and road driving data; calculate the logistics delay risk index LDRI based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS; The result output module is used to calculate the query package location accuracy ALO based on the logistics delay risk index LDRI; calculate the logistics information transmission stability index SIT according to the logistics delay risk index LDRI and the query package location accuracy ALO; preset the logistics information transmission stability index threshold, compare the logistics information transmission stability index SIT with the logistics information transmission stability index threshold, and judge whether the logistics information transmission is stable according to the result; if the logistics information transmission is unstable, trigger the early warning device.

[0016] (III) Beneficial effects The present invention provides a logistics information collection and tracking system and method, which has the following beneficial effects: (1) Road driving data can provide key information about logistics transportation routes, speed changes, etc., helping to understand the actual situation during transportation. Transportation status information data can reflect the specific status of the package during transportation. Environmental parameter data can timely detect environmental changes that affect the quality of goods. By comprehensively collecting this data, a rich information foundation is provided for subsequent analysis and decision-making, which helps to achieve more accurate logistics management and monitoring.

[0017] (2) Calculating the driving distance can intuitively understand the transportation progress; the position deviation value helps to judge the difference between the actual position and the expected position, and timely discover possible route deviations. Calculating the average speed provides an important basis for the estimated arrival time, which can better arrange the preparations for receiving the goods. The matching degree between the logistics trajectory and the delivery address measures the rationality of the transportation route as a whole.

[0018] (3) By calculating the comprehensive status indicators of logistics and comparing them with the preset thresholds, it is possible to quickly and accurately determine whether the logistics status is abnormal. Once an abnormality is found, an alarm signal is issued in time, and measures can be taken quickly to intervene and reduce losses and delays.

[0019] (4) Calculating weather impact index can predict the potential impact of bad weather on logistics and transportation in advance. Calculating road condition impact index can comprehensively consider the impact of external environment and actual road conditions on logistics. This can more comprehensively assess the challenges faced by logistics and transportation, and provide a more accurate basis for subsequent risk assessment and decision-making. Calculating logistics delay risk index helps to plan and respond to possible delays in advance, and improve the reliability and stability of logistics and transportation.

[0020] (5) Calculating the accuracy of the parcel location query can more accurately understand the real-time location of the parcel, improving the transparency and traceability of logistics information. Calculating the stability index of logistics information transmission can evaluate the reliability and stability of the logistics information system. By presetting the threshold of the logistics information transmission stability index and making comparative judgments, problems in logistics information transmission can be discovered in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the steps of a logistics information collection and tracking method of the present invention; Figure 2 This is a working schematic diagram of step three in a logistics information collection and tracking method of the present invention; Figure 3 The figure is a structural diagram of a logistics information collection and tracking system of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Please see attached Figure 1 -Attached Figure 2 The present invention provides a logistics information collection and tracking method, comprising: Step 1: Collect road driving data, transportation status information data and environmental parameter data of logistics packages.

[0024] Comprehensive step one: Road driving data can accurately reflect the path selection, driving speed changes, and possible traffic conditions of logistics transportation, which helps optimize transportation routes and arrange reasonable transportation time. Transportation status information data can understand the status of the package during transportation in real time, so as to take timely measures to protect the safety of the goods. Environmental parameter data can help determine whether the goods are in a suitable storage environment to avoid damage to the goods due to environmental factors.

[0025] Step 2: Calculate the driving distance PN based on the road driving data and transportation status information data; calculate the position deviation value based on the driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, the matching degree MAC between the logistics trajectory and the delivery address is calculated.

[0026] Step 201: Calculate the position deviation value , the specific steps include: The road driving data includes the initial speed V0, initial time t0 and current time t of the logistics transportation equipment.

[0027] It should be noted that when the logistics transportation equipment is started, the vehicle's GPS system will automatically record the speed at the time of startup, so the initial speed V0 of the logistics transportation equipment can be obtained. When the logistics transportation equipment is started, the timing system of the vehicle's electronic control unit will record the startup time, which is the initial time t0. The timing system of the vehicle's electronic control unit can also provide the current time in real time, so the current time t is obtained.

[0028] The transport status information data includes the total mass M of the logistics transport equipment and the goods and the windward area A of the logistics transport equipment.

[0029] It should be noted that the total mass M of logistics transportation equipment and goods can be measured and obtained by the on-board weighing system installed on the vehicle suspension system or chassis. The windward area A can use a laser rangefinder to measure the distance from each point on the windward side of the vehicle to the measuring point. The measuring points are set on one or more sides of the vehicle, and the distance data of each point of the outline of the front of the vehicle, the carriage and the goods are measured. These data are imported into professional software such as MATLAB or AutoCAD to build a three-dimensional model or a two-dimensional outline. After using the software to build a three-dimensional model of the windward side of the vehicle based on the measurement data, the two-dimensional outline is obtained by projection and other methods, and the two-dimensional outline area is calculated as the windward area A. In addition, the windward area data of the vehicle can also be obtained from the vehicle parameter manual or design drawings. Or on the design drawings, the windward area A can be calculated by directly measuring the dimensions of the front of the vehicle and the carriage in the front direction of travel according to the geometric shape calculation method.

[0030] According to the initial speed V0 of the logistics transportation equipment, the initial time t0, the current time t, the total mass M of the logistics transportation equipment and the goods, and the windward area A of the logistics transportation equipment, the travel distance PN is calculated based on the following formula: Among them, k1 is the proportional coefficient; V is the instantaneous speed of the logistics transportation equipment after time t; C is the air resistance coefficient; ρ is the air density.

[0031] It should be noted that the proportionality coefficient k1 is obtained by placing the model of the logistics transportation equipment in a wind tunnel, changing the wind speed conditions, etc., and measuring the air resistance F of the equipment under no wind speed. The proportionality coefficient k1 is calculated using the following formula: Where VI is the wind speed.

[0032] Obtain the instantaneous speed V of the logistics transportation equipment after time t. Since the GPS system can obtain the position of the vehicle at different time points and calculate the ratio of the position change and the time interval, the instantaneous speed V of the logistics transportation equipment after time t can be obtained.

[0033] The air resistance coefficient C is obtained by placing the model of the logistics transportation equipment into the wind tunnel, measuring the air resistance FK, wind speed VK, air density ρ and windward area AK of the model under different wind speeds, and then calculating the air resistance coefficient C. The calculation formula is: .

[0034] Get the air density ρ. The local atmospheric pressure p and temperature ti can be obtained from the local meteorological department. Then calculate the air density ρ. The calculation formula is: Where Ri is the gas constant, which is 8.314 J (mol·K).

[0035] It should be noted that V0×(t-t0) represents the travel distance calculated based on the initial speed V0 and the time interval (t-t0) without the action of other external forces. 2 ) / 2 represents the effect of air resistance on driving distance. The formula after the plus sign is the distance calculated based on the distance formula for uniformly accelerated linear motion after taking into account factors such as air resistance.

[0036] Calculate the position deviation value based on the driving distance PN , the calculation formula is: Among them, PE is the planned driving distance.

[0037] It should be noted that to obtain the planned driving distance PE, when using software such as Amap for navigation, the map will display the distance value that should be traveled from the departure point to the current location according to the preset route, so as to obtain the planned driving distance PE.

[0038] It should be noted that the position deviation value The calculation principle is to obtain the absolute value of the difference between the driving distance and the planned driving distance, which can be used to evaluate the degree of deviation between the actual driving route and the expected route.

[0039] Step 202: Calculate the time deviation value , the specific steps include: The road driving data also includes the instantaneous speed VG of the logistics transportation equipment at the current time.

[0040] It should be noted that, since the GPS system can continuously obtain the position of the vehicle at different time points and calculate the ratio of the position change and the time interval, the instantaneous speed VG of the logistics transportation equipment at the current time can be obtained.

[0041] According to the initial time t0, the current time t, the initial speed V0 of the logistics transportation equipment and the instantaneous speed VG of the logistics transportation equipment at the current time, the average speed V is calculated. avg , the calculation formula is: Where a is the acceleration.

[0042] It should be noted that the acceleration a can be obtained by directly measuring the acceleration of the logistics transportation equipment using an acceleration sensor.

[0043] It should be noted that (VG+V0) / 2 is expressed as the average value of the initial velocity and the final velocity; the part of the formula after the plus sign takes into account the influence of the velocity change caused by acceleration on the average velocity during uniformly accelerated motion; this formula is derived based on the definition of average velocity in uniformly accelerated linear motion and the displacement formula, and comprehensively considers the influence of initial velocity, final velocity and acceleration on the average velocity.

[0044] According to the travel distance PN, current time t and average speed V avg , calculate the estimated arrival time TA, the calculation formula is: Among them, DT is the total distance.

[0045] It should be noted that to obtain the total distance DT, the TMS transportation management system of the logistics company will determine the distance of the total distance based on the geographical information between the shipping place and the delivery address, transportation route planning, etc., so as to obtain the total distance DT.

[0046] It should be noted that the fractional part represents the average speed V avgThe time required to complete the remaining distance; the principle of this formula is based on the basic relationship between speed, distance and time. The estimated arrival time TA is obtained by calculating the remaining distance and the time required to complete the remaining distance at the average speed.

[0047] Based on the estimated arrival time TA, calculate the time deviation value , the formula based on is: Among them, TF is the planned arrival time.

[0048] It should be noted that the planned arrival time TF is obtained because the logistics management system automatically calculates and generates a planned arrival time based on information such as the shipping location, the receiving location, the transportation route, and the transportation method, thereby obtaining the planned arrival time TF.

[0049] It should be noted that the time deviation value It is calculated by measuring the difference between the estimated arrival time TA and the planned arrival time TF and is used to evaluate the punctuality of transportation.

[0050] Step 203: Calculate the matching degree MAC between the logistics track and the delivery address. The specific steps include: The road driving data also includes the number of turns NRG from the current location to the delivery address and the number of turns throughout the journey NTY.

[0051] It should be noted that according to the specified map data and path planning algorithm in the vehicle navigation system, after the delivery address is set, the navigation system will plan the route according to the current location of the vehicle and the delivery address, and at the same time count the number of turns to obtain the number of turns NRG from the current location to the delivery address and the total number of turns NTY.

[0052] According to the driving distance PN, the number of turns NRG from the current location to the delivery address, and the number of turns NTY during the entire journey, the matching degree MAC between the logistics track and the delivery address is calculated based on the following formula: Among them, TRD is the estimated remaining time from the current location to the delivery address; TT is the estimated total time for the entire logistics process.

[0053] It should be noted that the estimated remaining time TRD from the current location to the delivery address is obtained by obtaining the current location of the vehicle through the GPS positioning system, combining map data and traffic flow data to estimate the time required for the vehicle to reach the delivery address, which is the estimated remaining time TRD from the current location to the delivery address.

[0054] Get the estimated total time TT for the entire logistics process. Before the logistics starts, use navigation software such as Amap to enter information such as the shipping place and delivery address. The software will calculate the estimated total transportation time based on factors such as distance and speed, which is the estimated total time TT for the entire logistics process.

[0055] It should be noted that the item in the first bracket is related to the driving distance. When PN is closer to DT, the distance traveled by the vehicle is closer to a certain target distance. The item in the second bracket is related to the number of turns NTY throughout the journey. If the number of turns throughout the journey is greater, the number of turns NRG from the current location to the delivery address will have a relatively smaller impact on the matching degree. The item in the third bracket is related to time. When TRD is closer to TT, the estimated remaining time of the vehicle is closer to the estimated total time of the entire journey. By comprehensively considering the three aspects of distance, number of turns and time, their calculation results are added and the cube root is taken to obtain the matching degree MAC between the logistics track and the delivery address.

[0056] Comprehensive steps 201 to 203: This method can quantitatively evaluate the status of logistics transportation from multiple perspectives. Calculating the driving distance can intuitively display the transportation progress and help understand the distance of the goods from the destination. The position deviation value can timely detect whether the route deviates during transportation so as to make timely adjustments. Calculating the average speed provides an important basis for the reasonable arrangement of subsequent transportation plans. The estimated arrival time allows the recipient to prepare for receiving the goods in advance and improve logistics efficiency. The matching degree between the logistics track and the delivery address can evaluate the rationality and accuracy of the transportation route.

[0057] Step 3: According to the position deviation value , time deviation value The matching degree MAC between the logistics track and the delivery address is used to calculate the comprehensive logistics status indicator KLP. A threshold value of the comprehensive logistics status indicator is preset, and the comprehensive logistics status indicator KLP is compared with the threshold value of the comprehensive logistics status indicator. Whether the logistics status is abnormal is determined based on the result. When the logistics status is abnormal, an alarm signal is issued.

[0058] Step 301: Calculate the comprehensive logistics status index KLP, the specific steps include: According to the position deviation value , time deviation value And the matching degree MAC between the logistics track and the delivery address, calculate the comprehensive logistics status index KLP, the calculation formula is: Among them, φ1 is the position deviation value The weight coefficient is 0.2~0.4; φ2 is the time deviation value The weight coefficient is 0.3~0.5; φ3 is the weight coefficient of the matching degree MAC between the logistics track and the delivery address, which is 0.1~0.5; and φ1+φ2+φ3=1.

[0059] It should be noted that this formula takes into account the position deviation value , time deviation value And the matching degree MAC of logistics track and delivery address. Each parameter has a corresponding weight coefficient, which indicates the importance of different parameters when calculating the comprehensive logistics status index KLP. By multiplying each parameter with its corresponding weight coefficient and then summing them, a comprehensive logistics status index KLP that can fully describe the logistics is obtained.

[0060] Step 302: Determine whether the logistics status is abnormal. The specific steps include: Preset logistics comprehensive status indicator threshold KLP th ; By collecting the logistics status data of the logistics company over a long period of time in the past, including data such as transportation time, transportation route, and the matching degree of logistics track and delivery address; calculating the comprehensive logistics status index KLP of each cargo, and further calculating the average value KLP of these comprehensive logistics status indicators avg and standard deviation σ, then KLP avg +σ as the threshold value of comprehensive logistics status indicator KLP th .

[0061] When KLP ≤ KLP th When KLP>KLP th When the logistics status is abnormal, it is judged that the logistics status is abnormal and an alarm signal is issued; the logistics staff is reminded of the abnormal logistics status by vibrating the mobile phone.

[0062] Comprehensive step 301~step 302: By calculating the comprehensive status indicators of logistics and comparing them with the preset thresholds to determine whether the logistics status is abnormal, it is possible to achieve fast and accurate logistics status monitoring. Once an abnormality is found, an alarm signal is issued in time and countermeasures are taken quickly to reduce losses and delays.

[0063] Step 4: When the logistics status is normal, the weather impact index WS is calculated based on the environmental parameter data, and the road condition impact index CS is calculated based on the weather impact index WS and road driving data; the logistics delay risk index LDRI is calculated based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS.

[0064] Step 401: Calculate the traffic condition impact index CS, which includes: Environmental parameter data include precipitation intensity PP, wind speed WI and temperature HI.

[0065] It should be noted that by using a rain gauge to collect the amount of precipitation in a certain period of time, the precipitation intensity PP is obtained based on the cross-sectional area of ​​the container and the amount of water collected. For example, a standard rain gauge collects 10 mm of rain in 1 hour, so the precipitation intensity is 10 mm / hour. The wind speed WI is measured by using a three-cup anemometer. The temperature HI is directly measured by using a mercury thermometer or an alcohol thermometer.

[0066] Road driving data also includes congested road section distance TCO and congested road section driving time DJK.

[0067] It should be noted that since the odometer of the vehicle can record the distance traveled by the vehicle and the timer can record the time the vehicle travels, when the vehicle enters a congested section, the congested section distance TCO and the congested section travel time DJK can be calculated based on the data of the odometer and the timer, combined with the change in vehicle speed.

[0068] According to the precipitation intensity PP, wind speed WI and temperature HI, the weather impact index WS is calculated using the following formula: Among them, ω1 is the weight coefficient of precipitation intensity PP, and its value is 0.1~0.3; ω2 is the weight coefficient of wind speed WI, and its value is 0.3~0.4; ω3 is the weight coefficient of temperature HI, and its value is 0.3~0.5; and ω1+ω2+ω3=1.

[0069] It should be noted that this formula comprehensively considers three important parameters: precipitation intensity PP, wind speed WI and temperature HI. Each parameter has a corresponding weight coefficient, which indicates the importance of different parameters when calculating the weather impact index WS. The weather impact index WS is obtained by multiplying each parameter with its corresponding weight coefficient and then summing them.

[0070] According to the weather impact index WS, the distance to the congested section TCO and the travel time on the congested section DJK, the road condition impact index CS is calculated. The specific formula is: Where SV is the road quality coefficient.

[0071] It should be noted that the road quality coefficient SV is obtained by obtaining the number of potholes DP per kilometer of road, the time LM since the last road maintenance, and the number of traffic accidents AA that occurred on the road in the past year. The calculation formula is: Among them, Υ1 is the weight coefficient of the number of potholes DP per kilometer of road, and its value is 0.1~0.4; Υ2 is the weight coefficient of the time LM from the last road maintenance, and its value is 0.2~0.5; Υ3 is the weight coefficient of the number of traffic accidents AA that occurred on the road in the past year, and its value is 0.3~0.4; and Υ1+Υ2+Υ3=1.

[0072] It should be noted that TCO / DT reflects the proportion of the congested road distance to the total driving distance. DJK / TT reflects the proportion of the driving time in the congested road to the total driving time. 1-SV means that this item reflects the adjustment of the impact of road quality on road conditions. Finally, multiplying it by the weather impact index WS can reflect the serious impact of weather on road conditions. This formula obtains the road condition impact index CS by combining parameters such as weather impact index, congested road distance and congested road driving time.

[0073] Step 402: Calculate the logistics delay risk index LDRI, the specific steps include: According to the comprehensive logistics status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS, the logistics delay risk index LDRI is calculated. The calculation formula is: Among them, MS is the cargo importance coefficient.

[0074] It should be noted that the cargo importance coefficient MS is obtained by obtaining the value of the transported cargo V value And the highest value V among all goods max , calculate the cargo importance coefficient MS, the calculation formula is: Among them, F per The degree of perishability of the goods, with a value of 0~1, 0 means not perishable, and 1 means extremely perishable.

[0075] It should be noted that TA-TF represents the difference between the estimated arrival time and the benchmark arrival time. The larger the difference, the greater the possibility of delay. Multiply this difference by KLP and divide it by TF to get a quantity related to the logistics status and the expected delay time. 1 / (CS×WS×MS) means that if any of the factors such as road conditions, weather and cargo importance deteriorate, the value of the denominator will decrease, and the overall logistics delay risk index LDRI will increase.

[0076] Comprehensive step 401~step 402: Calculating the weather impact index can predict the potential impact of bad weather on logistics and transportation in advance. Calculating the road condition impact index can comprehensively consider the impact of external weather conditions and actual road conditions on logistics and transportation. This can more comprehensively assess the risks faced by logistics and transportation and provide a basis for formulating reasonable transportation strategies. Calculating the logistics delay risk index helps to plan and respond to possible delays in advance and improve the reliability and stability of logistics and transportation.

[0077] Step 5: Calculate the parcel location accuracy ALO based on the logistics delay risk index LDRI; calculate the logistics information transmission stability index SIT based on the logistics delay risk index LDRI and the parcel location accuracy ALO; preset the logistics information transmission stability index threshold, compare the logistics information transmission stability index SIT with the logistics information transmission stability index threshold, and judge whether the logistics information transmission is stable based on the result; if the logistics information transmission is unstable, trigger the early warning device.

[0078] Step 501: Calculate the accuracy of the queried package location ALO, the specific steps include: Based on the logistics delay risk index LDRI, the query package location accuracy ALO is calculated using the following formula: Where EC is the dynamic error.

[0079] It should be noted that to obtain the dynamic error EC, the deviation data between the actual location and the theoretical location of the package under the same logistics route and similar transportation conditions in the past are collected, and the collected deviation data are statistically analyzed to calculate the standard deviation; the calculated standard deviation can be used as the dynamic error EC. For example, if the standard deviation of the package location deviation on a certain route is calculated to be 5 kilometers, then 5 kilometers is the dynamic error in this case.

[0080] It should be noted that when the logistics delay risk index LDRI increases, the numerator decreases, and thus the ALO decreases. This means that when the logistics delay risk is high, the accuracy of the package location query ALO will decrease. This formula introduces the logistics delay risk index LDRI to comprehensively evaluate the accuracy of the package location query, taking into account the impact of the logistics delay risk on the location accuracy.

[0081] Step 502: Calculate the stability index SIT of logistics information transmission, the specific steps include: According to the logistics delay risk index LDRI and the accuracy of the query package location ALO, the stability index SIT of logistics information transmission is calculated. The calculation formula is: Among them, F rate is the data transmission failure rate; T fluctuationis the time fluctuation coefficient.

[0082] It should be noted that the data transmission failure rate F rate By recording the total number of logistics information data transmissions within a certain period of time and the number of data transmission failures within the same period of time, the number of data transmission failures is divided by the total number of data transmissions to obtain the data transmission failure rate F. rate .

[0083] Get the time fluctuation coefficient T fluctuation , at each data transmission, record the transmission time C from the start of data transmission to the confirmation of data reception i , then calculate the time fluctuation coefficient T fluctuation , the calculation formula is: Among them, C i is the i-th data transmission time, i is the transmission number, and its value is [1, n]; n is the transmission number, and its value is a positive integer; C avg is the average transmission time.

[0084] It should be noted that 1-F rate This part reflects the impact of the proportion of successful data transmission on the stability of logistics information transmission. The stability index SIT of logistics information transmission comprehensively considers four factors: data transmission failure rate, time fluctuation coefficient, logistics delay risk index, and accuracy of querying package location. When the data transmission failure rate is low, the time fluctuation is small, the risk of logistics delay is low, and the accuracy of querying package location is high, the value of SIT is large, indicating that the stability of logistics information transmission is good; conversely, when one or more of these factors perform poorly, the value of SIT will be small, and the stability of logistics information transmission will be poor.

[0085] Step 503: Determine whether the logistics information transmission is stable. The specific steps include: Preset logistics information transmission stability index threshold SIT th ; By establishing a simulation model for logistics information transmission, changing the parameters in the model such as data transmission failure rate and time fluctuation coefficient, the change of SIT value is observed. When it is found that the delay or error rate of logistics information transmission increases significantly when the SIT value exceeds a certain value, the value is set as the threshold value of logistics information transmission stability indicator SIT th For example, when the data transmission failure rate F rate When it reaches 0.3, the delay of logistics information transmission increases from an average of 2 minutes to 5 minutes, and the error rate increases from 1% to 5%. At this time, the corresponding logistics information transmission stability index SIT value is (_1-0.3)×1 / (1+0.1)×0.8×0.9=0.46, so 0.46 is set as the logistics information transmission stability index threshold SITth .

[0086] When SIT≤SIT th When the logistics information transmission is in a stable state; When SIT>SIT th When the logistics information transmission is in an unstable state, the early warning device is triggered.

[0087] Comprehensive steps 501 to 503: Calculating the accuracy of parcel location query can provide more accurate parcel location information and enhance the transparency of logistics information. Calculating the stability index of logistics information transmission can evaluate the reliability and stability of the logistics information system. By presetting the threshold of the stability index of logistics information transmission and making comparative judgments, problems in logistics information transmission can be discovered in a timely manner.

[0088] Please see attached Figure 3 On the other hand, the present invention also discloses a logistics information collection and tracking system, which is used to implement the above-mentioned logistics information collection and tracking method, including: Data collection module, used to collect road travel data, transportation status information data and environmental parameter data of logistics packages; Data processing module, used for road driving data and transportation status information data, calculates driving distance PN; calculates position deviation value based on driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, calculate the matching degree MAC between the logistics track and the delivery address; The judgment module is used to determine the position deviation value. , time deviation value The matching degree MAC between the logistics track and the delivery address is used to calculate the comprehensive logistics status indicator KLP; a threshold value of the comprehensive logistics status indicator is preset, and the comprehensive logistics status indicator KLP is compared with the threshold value of the comprehensive logistics status indicator, and whether the logistics status is abnormal is determined according to the result; when the logistics status is abnormal, an alarm signal is issued; The delay risk module is used to calculate the weather impact index WS based on the environmental parameter data when the logistics status is normal, and calculate the road condition impact index CS based on the weather impact index WS and road driving data; calculate the logistics delay risk index LDRI based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS; The result output module is used to calculate the query package location accuracy ALO based on the logistics delay risk index LDRI; calculate the logistics information transmission stability index SIT according to the logistics delay risk index LDRI and the query package location accuracy ALO; preset the logistics information transmission stability index threshold, compare the logistics information transmission stability index SIT with the logistics information transmission stability index threshold, and judge whether the logistics information transmission is stable according to the result; if the logistics information transmission is unstable, trigger the early warning device.

[0089] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0090] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A logistics information collection and tracking method, characterized by: include: Step 1: Collect road driving data, transportation status information data and environmental parameter data of logistics packages; Step 2: Calculate the driving distance PN based on the road driving data and transportation status information data; calculate the position deviation value based on the driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; Calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, calculate the matching degree MAC between the logistics track and the delivery address; Step 3: According to the position deviation value , time deviation value And the matching degree MAC between the logistics track and the delivery address, calculate the comprehensive logistics status index KLP; Preset the threshold of comprehensive logistics status indicator, compare the comprehensive logistics status indicator KLP with the comprehensive logistics status indicator threshold, and judge whether the logistics status is abnormal according to the result; When the logistics status is abnormal, an alarm signal is issued; Step 4: When the logistics status is normal, the weather impact index WS is calculated based on the environmental parameter data, and the road condition impact index CS is calculated based on the weather impact index WS and road driving data; the logistics delay risk index LDRI is calculated based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS; Step 5: Calculate the parcel location accuracy ALO based on the logistics delay risk index LDRI; The logistics information transmission stability index SIT is calculated based on the logistics delay risk index LDRI and the query package location accuracy ALO; Preset a threshold value of the stability index of logistics information transmission, compare the stability index SIT of logistics information transmission with the threshold value of the stability index of logistics information transmission, and judge whether the logistics information transmission is stable according to the result; If the logistics information transmission is unstable, the early warning device will be triggered.

2. A logistics information collection and tracking method according to claim 1, characterized in that: Calculate the position deviation value The method is: Road driving data includes the initial speed V0, initial time t0 and current time t of the logistics transportation equipment; The transport status information data includes the total mass M of the logistics transport equipment and the goods and the windward area A of the logistics transport equipment; According to the initial speed V0 of the logistics transportation equipment, the initial time t0, the current time t, the total mass M of the logistics transportation equipment and the goods, and the windward area A of the logistics transportation equipment, the travel distance PN is calculated based on the following formula: Among them, k1 is the proportionality coefficient; V is the instantaneous speed of the logistics transportation equipment after time t; C is the air resistance coefficient; ρ is the air density; Calculate the position deviation value based on the driving distance PN , the calculation formula is: Among them, PE is the planned driving distance.

3. A logistics information collection and tracking method according to claim 2, characterized in that: Calculate time deviation value The method is: The road driving data also includes the instantaneous speed VG of the logistics transportation equipment at the current time; According to the initial time t0, the current time t, the initial speed V0 of the logistics transportation equipment and the instantaneous speed VG of the logistics transportation equipment at the current time, the average speed V is calculated. avg , the calculation formula is: Where a is the acceleration; According to the travel distance PN, current time t and average speed V avg , calculate the estimated arrival time TA, the calculation formula is: Among them, DT is the total distance; Based on the estimated arrival time TA, calculate the time deviation value , the formula based on is: Among them, TF is the planned arrival time.

4. A logistics information collection and tracking method according to claim 3, characterized in that: The method for calculating the matching degree MAC between the logistics track and the delivery address is: The road driving data also includes the number of turns NRG from the current location to the delivery address and the number of turns NTY throughout the journey; According to the driving distance PN, the number of turns NRG from the current location to the delivery address, and the number of turns NTY during the entire journey, the matching degree MAC between the logistics track and the delivery address is calculated based on the following formula: Among them, TRD is the estimated remaining time from the current location to the delivery address; TT is the estimated total time for the entire logistics process.

5. A logistics information collection and tracking method according to claim 4, characterized in that: The method to determine whether the logistics status is abnormal is: According to the position deviation value , time deviation value And the matching degree MAC between the logistics track and the delivery address, calculate the comprehensive logistics status index KLP, the calculation formula is: Among them, φ1 is the position deviation value The weight coefficient is 0.2~0.4; φ2 is the time deviation value The weight coefficient is 0.3~0.5; φ3 is the weight coefficient of the matching degree MAC between the logistics track and the delivery address, which is 0.1~0.5; and φ1+φ2+φ3=1; Preset logistics comprehensive status indicator threshold KLP th ; When KLP ≤ KLP th When KLP>KLP th When the logistics status is abnormal, an alarm signal is issued.

6. A logistics information collection and tracking method according to claim 5, characterized in that: The method for calculating the road condition impact index CS is: Environmental parameter data include precipitation intensity PP, wind speed WI and temperature HI; Road driving data also includes the distance to congested sections (TCO) and the travel time to congested sections (DJK); According to the precipitation intensity PP, wind speed WI and temperature HI, the weather impact index WS is calculated using the following formula: Among them, ω1 is the weight coefficient of precipitation intensity PP, which is 0.1~0.3; ω2 is the weight coefficient of wind speed WI, which is 0.3~0.4; ω3 is the weight coefficient of temperature HI, which is 0.3~0.5; and ω1+ω2+ω3=1; According to the weather impact index WS, the distance to the congested section TCO and the travel time on the congested section DJK, the road condition impact index CS is calculated. The specific formula is: Where SV is the road quality coefficient.

7. A logistics information collection and tracking method according to claim 6, characterized in that: The method for calculating the logistics delay risk index LDRI is: According to the comprehensive logistics status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS, the logistics delay risk index LDRI is calculated. The calculation formula is: Among them, MS is the cargo importance coefficient.

8. A logistics information collection and tracking method according to claim 7, characterized in that: The method for calculating the accuracy of the queried package location ALO is: Based on the logistics delay risk index LDRI, the query package location accuracy ALO is calculated using the following formula: Where EC is the dynamic error.

9. A logistics information collection and tracking method according to claim 8, characterized in that: The method to determine whether logistics information transmission is stable is: According to the logistics delay risk index LDRI and the accuracy of the query package location ALO, the stability index SIT of logistics information transmission is calculated. The calculation formula is: Among them, F rate is the data transmission failure rate; T fluctuation is the time fluctuation coefficient; Preset logistics information transmission stability index threshold SIT th ; When SIT≤SIT th When the logistics information transmission is in a stable state; When SIT>SIT th When the logistics information transmission is in an unstable state, the early warning device is triggered.

10. A logistics information collection and tracking system, characterized by: Data collection module, used to collect road travel data, transportation status information data and environmental parameter data of logistics packages; Data processing module, used for road driving data and transportation status information data, calculates driving distance PN; calculates position deviation value based on driving distance PN ; Calculate the average speed V based on road driving data avg ; Based on the driving distance PN, average speed V avg and road travel data, calculate the estimated arrival time TA; Calculate the time deviation value based on the estimated arrival time TA ; According to the driving distance PN and road driving data, calculate the matching degree MAC between the logistics track and the delivery address; The judgment module is used to determine the position deviation value. , time deviation value The logistics track and the matching degree MAC of the delivery address are used to calculate the comprehensive logistics status indicator KLP; a threshold value of the comprehensive logistics status indicator is preset, and the comprehensive logistics status indicator KLP is compared with the threshold value of the comprehensive logistics status indicator, and whether the logistics status is abnormal is determined according to the result; When the logistics status is abnormal, an alarm signal is issued; The delay risk module is used to calculate the weather impact index WS based on the environmental parameter data when the logistics status is normal, and calculate the road condition impact index CS based on the weather impact index WS and road driving data; calculate the logistics delay risk index LDRI based on the logistics comprehensive status index KLP, the estimated arrival time TA, the weather impact index WS and the road condition impact index CS; The result output module is used to calculate the parcel location accuracy ALO based on the logistics delay risk index LDRI; The logistics information transmission stability index SIT is calculated based on the logistics delay risk index LDRI and the query package location accuracy ALO; Preset a threshold value of the stability index of logistics information transmission, compare the stability index SIT of logistics information transmission with the threshold value of the stability index of logistics information transmission, and judge whether the logistics information transmission is stable according to the result; If the logistics information transmission is unstable, the early warning device will be triggered.

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