Logistics vehicle comprehensive transportation management method and system

Abstract

The invention discloses a logistics vehicle comprehensive transportation management method and system, relates to the technical field of logistics vehicle management, solves the technical problem that in the prior art, logistics vehicles cannot be reasonably analyzed according to real-time requirements and supply during transportation, so that the matching efficiency of the logistics vehicles is unqualified, and particularly relates to a transportation real-time matching unit. The main body matching module is used for marking to-be-conveyed vehicles in the logistics conveying network as conveying main bodies, marking the conveying main bodies as conveying performance sets according to conveying parameters of the conveying main bodies, marking goods receiving places of the logistics conveying network as receiving main bodies, marking the receiving main bodies as receiving demand interval sets according to receiving parameters of the receiving main bodies, and carrying out main body matching; after transportation real-time matching is completed, a network efficiency evaluation time period is set; it is guaranteed that the vehicle supply performance in the transportation process can meet the requirement of an actual goods receiving place, and the supply efficiency of logistics vehicle transportation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics vehicle management, and in particular to a comprehensive transportation management method and system for logistics vehicles. Background Art

[0002] Logistics vehicles are vital tools in logistics transportation. Logistics vehicles usually have high transportation efficiency and can transport goods from one location to another in a short time. Logistics vehicles need to have high reliability to ensure that the goods can reach the destination safely and on time. This requires strict control of logistics vehicles in design, manufacturing and maintenance to ensure the performance and quality of the vehicles.

[0003] However, in the existing technology, logistics vehicles are unable to perform reasonable analysis based on real-time demand and supply during transportation, resulting in unsatisfactory logistics vehicle matching efficiency. At the same time, they are unable to analyze the supply and demand of the transportation network, thereby reducing the accuracy of the analysis of the operating efficiency of the logistics transportation network.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a comprehensive transportation management method and system for logistics vehicles.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A comprehensive transportation management system for logistics vehicles, including a vehicle transportation management platform, the vehicle transportation management platform is connected to:

[0008] The transport real-time matching unit is used to mark the vehicles to be transported in the logistics transport network as transport entities, and mark them as transport performance sets according to the transport parameters of the transport entities, mark each receiving place in the logistics transport network as a receiving entity, and mark them as a receiving demand interval set according to the receiving parameters of the receiving entity, and perform entity matching; after completing the transport real-time matching, set the network efficiency evaluation period;

[0009] The demand assessment unit is used to conduct demand assessment for the current network efficiency assessment period of the overall logistics transportation network, collect the transmission span data and transmission speed data, and infer whether the demand assessment is normal based on data comparison;

[0010] The supply impact assessment unit is used to conduct supply impact assessment on the logistics transportation network, obtain supply duration impact data and supply parameter impact data, and infer whether the transportation subject impact assessment is abnormal based on data comparison and analysis;

[0011] The transportation network efficiency evaluation unit is used to evaluate the transportation efficiency of the logistics transportation network, collect efficiency evaluation information, substitute it into the formula to obtain the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period, and infer whether the efficiency evaluation is abnormal based on the coefficient comparison.

[0012] As a preferred embodiment of the present invention, the subject matching process is as follows:

[0013] The receiving subject and the transporting subject are analyzed. If any transport parameter in the transport performance set corresponding to the transporting subject that currently generates the idle instruction is within the corresponding type parameter interval in the receiving demand interval set of the current receiving subject, the current transporting subject is uniformly marked as a candidate for real-time receiving subject; and the candidates are selected and analyzed to obtain the ratio of the number of receiving subjects other than the current receiving subject to the total number of candidates for the current receiving subject, and at the same time, the number of candidates for the current receiving subject corresponding to the receiving subjects other than the current receiving subject that meet the real-time requirements of the receiving subjects other than the current receiving subject except the current candidate is obtained, and they are marked as current satisfaction information and other satisfaction information respectively.

[0014] As a preferred implementation of the present invention, if the current satisfying information exceeds the set threshold ratio, and other satisfying information exceeds the threshold number of candidates, the candidates of the current receiving subject are selected one by one, and the administrator terminal sends the selected candidates to the vehicle transportation management platform; if the current satisfying information does not exceed the set threshold ratio, the candidate currently analyzed in real time is used as the real-time selected candidate of the current receiving subject;

[0015] If the current satisfying information does not exceed the threshold of the number of objects to be selected, the current object to be selected will be set as the object to be selected, and the object to be selected of the current receiving subject will be selected based on the comparison result of the corresponding threshold value of the ratio of the number of receiving subjects other than the current receiving subject to the total number. Specifically: if the current satisfying information exceeds the set threshold ratio, the current object to be selected will not be used as the selected object; otherwise, the current object to be selected will be used as the selected object, and the transportation time of the receiving subject that is adapted to the current selected object will be staggered.

[0016] As a preferred embodiment of the present invention, the transmission span data and the transmission speed data are respectively the corresponding sum of the maximum floating span of the transportation parameter interval within the set of receiving demand intervals corresponding to each receiving entity of the overall logistics transportation network during the network efficiency evaluation period and the maximum span of the numerical deviation between the transportation parameters corresponding to the real-time transportation entity after the interval floating and the nearest critical value of the interval after floating, and the corresponding speed ratio of the increasing speed of the on-time completion amount of the receiving entity of the overall logistics transportation network during the network efficiency evaluation period to the increasing speed of the receiving entity that has not completed the task and has floating transportation parameter intervals.

[0017] As a preferred embodiment of the present invention, if the transmission span data exceeds the maximum span value and the threshold, or the transmission speed data exceeds the speed value ratio threshold, it is inferred that the demand assessment of the receiving subject during the network efficiency evaluation period is abnormal; if the transmission span data does not exceed the maximum span value and the threshold, and the transmission speed data does not exceed the speed value ratio threshold, it is inferred that the demand assessment of the receiving subject during the network efficiency evaluation period is normal.

[0018] As a preferred embodiment of the present invention, the supply time impact data is expressed as: the ratio of the cumulative duration of non-overlapping moments of any set transport parameters and corresponding transport parameter intervals in the transport performance set of the transport subject within the network efficiency evaluation period to the corresponding duration numerically corresponding to the advance duration of the preset arrival time of the current transport subject; the supply parameter impact data is the frequency of increase in the continuous floating span of the corresponding transport parameter setting value of the transport subject as the transportation frequency increases within the network efficiency evaluation period.

[0019] As a preferred embodiment of the present invention, if the supply duration impact data exceeds the duration value ratio threshold, or the supply parameter impact data exceeds the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transportation network is abnormal; if the supply duration impact data does not exceed the duration value ratio threshold, and the supply parameter impact data does not exceed the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transportation network is normal.

[0020] As a preferred embodiment of the present invention, the efficiency evaluation information includes the standard deviation of the delay time between each line and station in the logistics transportation network during the network efficiency evaluation period, the maximum floating speed of the cargo wear rate when transporting items of different specifications during the network efficiency evaluation period, and the cumulative delay time of the transportation stations of the real-time transportation line after the delay in loading and unloading time is increased when transporting items of different values ​​during the network efficiency evaluation period.

[0021] As a preferred embodiment of the present invention, if the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period exceeds the efficiency evaluation coefficient threshold, then the efficiency evaluation within the network efficiency evaluation period is judged to be abnormal; if the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period does not exceed the efficiency evaluation coefficient threshold, then the efficiency evaluation within the network efficiency evaluation period is judged to be normal.

[0022] As a preferred embodiment of the present invention, a comprehensive transportation management method for logistics vehicles is provided, and the specific management method is as follows:

[0023] Real-time transportation matching: mark the vehicles to be transported in the logistics transportation network as transport entities, and mark them as a transportation performance set according to the transport parameters of the transport entities; mark each receiving location in the logistics transportation network as a receiving entity, and mark them as a receiving demand interval set according to the receiving parameters of the receiving entity, and perform entity matching; after completing real-time transportation matching, set the network efficiency evaluation period;

[0024] Demand assessment: conduct demand assessment on the overall logistics transportation network during the current network efficiency assessment period, collect transmission span data and transmission speed data, and infer whether the demand assessment is normal based on data comparison;

[0025] Supply impact assessment: Conduct supply impact assessment on the logistics transportation network, obtain supply duration impact data and supply parameter impact data, and infer whether the transportation entity impact assessment is abnormal based on data comparison and analysis;

[0026] Transport network efficiency evaluation: conduct transport efficiency evaluation on the logistics transportation network, collect efficiency evaluation information, substitute it into the formula to obtain the efficiency evaluation coefficient of the logistics transportation network during the network efficiency evaluation period, and infer whether the efficiency evaluation is abnormal based on the coefficient comparison.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. In the present invention, real-time matching of logistics vehicle transportation is carried out to ensure that the vehicle supply performance during transportation can meet the needs of the actual receiving place, thereby improving the supply efficiency of logistics vehicle transportation, ensuring that each part of the transportation network can be transported in a manner that meets the needs, improving the operating efficiency of logistics vehicles, and facilitating the improvement of the dispatchability of the entire logistics transportation network;

[0029] Through demand assessment, we can infer whether the demand of the current receiving entity changes frequently, and thus infer whether the delivery pressure of the current logistics delivery network is within the control range. At the same time, we can analyze the controllability of the receiving entity to avoid the decline in the delivery efficiency of the logistics delivery network caused by real-time controllability fluctuations. Through real-time demand assessment, we can timely regulate the logistics delivery network to ensure that each network branch can effectively supply the needs of the receiving entity, and can also adjust the scheduling in time when supply and demand fluctuate.

[0030] 2. In the present invention, the supply impact assessment of the logistics transportation network is carried out, and whether the supply performance of the current logistics transportation network is fluctuating is inferred from the direction of the logistics transportation network. The transportation efficiency of each network is monitored in real time, and timely adjustments are made when the transportation efficiency is abnormal. At the same time, the supply impact control can be carried out according to the current period to improve the accuracy of the transportation network efficiency assessment;

[0031] Carry out transport efficiency evaluation on the logistics transportation network, accurately infer whether the operation efficiency of the logistics transportation network meets the demand according to the real-time transportation status combined with the demand analysis and supply analysis of the current network, improve the transportation efficiency of the logistics transportation network, and the rationality of the internal scheduling of the network, and further detect the transportation feasibility of the logistics transportation network. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0033] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0034] Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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, 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.

[0036] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0037] Embodiment 1

[0038] This system is suitable for logistics vehicle transportation scenarios and controls real-time transportation. Figure 1 As shown, a logistics vehicle integrated transportation management system includes a vehicle transportation management platform, wherein the vehicle transportation management platform is communicatively connected with a transportation real-time matching unit, a demand assessment unit, and a supply impact assessment unit;

[0039] The vehicle transportation management platform generates a real-time transportation matching signal and sends it to the real-time transportation matching unit. After receiving the real-time transportation matching signal, the real-time transportation matching unit matches the logistics vehicle transportation in real time to ensure that the vehicle supply performance during the transportation process can meet the needs of the actual receiving place, improve the supply efficiency of logistics vehicle transportation, ensure that each part of the transportation network can be transported in a way that meets the needs, improve the operating efficiency of logistics vehicles, and facilitate the improvement of the dispatchability of the entire logistics transportation network;

[0040] The vehicles to be transported in the logistics transportation network are marked as transportation entities, and are marked as a transportation performance set according to the transportation parameters of the transportation entities, where the transportation parameters are represented by transportation-related parameters such as the peak supply speed and the shortest supply time of the transportation entity. Each receiving place in the logistics transportation network is marked as a receiving entity, and is marked as a receiving demand interval set according to the receiving parameters of the receiving entity, where the receiving parameters are represented by corresponding transportation parameter intervals of the same type, such as the interval of the required supply speed and the required time of the supply time;

[0041] In the logistics transportation network, after the transportation subject completes the current task, it generates an idle instruction and sends the idle instruction and the transportation subject number to the administrator terminal. At the same time, when the receiving subject in the logistics transportation network needs logistics transportation, it generates a demand instruction and sends the demand instruction to the administrator terminal;

[0042] The administrator terminal performs subject matching based on the idle instructions and demand instructions received in real time;

[0043] The receiving subject and the transporting subject are analyzed. If any transport parameter in the transport performance set corresponding to the transporting subject that currently generates the idle instruction is within the corresponding type parameter interval in the receiving demand interval set of the current receiving subject, the current transporting subject is uniformly marked as a candidate for selection of the real-time receiving subject; and the candidate for selection is selected and analyzed to obtain the ratio of the number of receiving subjects other than the current receiving subject to the total number of the candidate for selection of the current receiving subject, and at the same time, the number of candidate for selection of the current receiving subject corresponding to the candidate for selection of the current receiving subject that satisfies the real-time excluding current candidate for selection of the receiving subjects other than the current receiving subject is obtained; and the ratio of the number of receiving subjects other than the current receiving subject to the total number of the candidate for selection of the current receiving subject and the number of candidate for selection of the current receiving subject corresponding to the candidate for selection of the receiving subjects other than the current receiving subject that satisfies the real-time excluding current candidate for selection of the receiving subjects other than the current receiving subject are marked as current satisfaction information and other satisfaction information respectively;

[0044] If the candidate objects of the current receiving subject meet the requirement that the ratio of the number of receiving subjects other than the current receiving subject to the total number exceeds the set threshold ratio, and the candidate objects of the current receiving subject meet the requirement that the number of candidate objects of the receiving subjects other than the current receiving subject in real time other than the current candidate object exceeds the candidate object number threshold, then the candidate objects of the current receiving subject will be selected one by one, and the administrator terminal will send the selected candidate objects to the vehicle transportation management platform;

[0045] If the candidate for selection of the current receiving subject satisfies that the ratio of the number of receiving subjects other than the current receiving subject to the total number does not exceed the set threshold ratio, the candidate for selection currently analyzed in real time is used as the candidate for selection in real time of the current receiving subject;

[0046] If the candidate object of the current receiving subject satisfies that the number of candidate objects of the receiving subjects other than the current receiving subject in real time does not exceed the threshold of the number of candidate objects, the current candidate object is set as the candidate object, and the candidate object of the current receiving subject satisfies the ratio of the number of receiving subjects other than the current receiving subject to the total number corresponding to the threshold comparison result for selection, specifically: if the candidate object of the current receiving subject satisfies that the ratio of the number of receiving subjects other than the current receiving subject to the total number exceeds the set threshold ratio, the current candidate object is not used as the selection object; otherwise, the current candidate object is used as the selection object, and the transportation time of the receiving subject adapted to the current selection object is staggered;

[0047] After the vehicle transportation management platform completes the real-time transportation matching, it sets the network efficiency evaluation period, generates a demand evaluation signal and a supply impact evaluation signal, and sends the demand evaluation signal and the supply impact evaluation signal to the demand evaluation unit and the supply impact evaluation unit respectively;

[0048] After receiving the demand assessment signal, the demand assessment unit conducts demand assessment for the current network efficiency assessment period of the overall logistics transportation network. Through demand assessment, it is inferred whether the demand of the current receiving entity changes frequently, so as to infer whether the delivery pressure of the current logistics transportation network is within the control range. At the same time, the controllability of the receiving entity is analyzed to avoid the decline in the delivery efficiency of the logistics transportation network caused by the fluctuation of real-time controllability; the logistics transportation network is timely regulated and controlled through real-time demand assessment to ensure that each network branch can effectively supply the demand of the receiving entity, and can also adjust the scheduling in time when the supply and demand fluctuate;

[0049] The maximum floating span of the transport parameter interval in the set of receiving demand intervals corresponding to each receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the maximum span of the numerical deviation of the transport parameter and the nearest critical value of the interval after the floating interval corresponding to the real-time transport subject are obtained, and the transmission span data is calculated by the sum value; at the same time, the speed ratio corresponding to the speed of the increase of the on-time completion rate of the receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the speed ratio corresponding to the increase of the receiving subject of the unfinished and floating transport parameter interval are obtained, and the speed ratio corresponding to the speed of the increase of the on-time completion rate of the receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the speed ratio corresponding to the increase of the receiving subject of the unfinished and floating transport parameter interval is marked as the transmission speed data; and compared with the maximum span value and threshold and speed value ratio threshold respectively:

[0050] It is understandable that the number of receiving entities is not unique and the transport parameters are not unique. In the data analysis process, if there are multiple transport parameters, the corresponding type of transport parameter analysis is performed in the order of the transport parameter floating span from large to small;

[0051] If the maximum span of the maximum floating span of the transport parameter interval within the set of receiving demand intervals corresponding to each receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the maximum span value of the numerical deviation of the transport parameter and the nearest critical value of the interval after the interval floating of the real-time transport subject corresponding to the transport parameter after the interval floating exceeds the maximum span value and the threshold, or the speed of increase of the on-time completion rate of the receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the speed of increase of the receiving subject that has not been completed and the transport parameter interval floating exceeds the speed value ratio threshold, it is inferred that the demand assessment of the receiving subject during the network efficiency evaluation period is abnormal, and a high-intensity demand signal is generated and sent to the vehicle transportation management platform. After receiving the high-intensity demand signal, the vehicle transportation management platform increases the reserved allocation resources for the transportation of each receiving subject in the current logistics transportation network, where the reserved allocation resources are represented by spare transportation vehicles, loading and unloading personnel, etc.

[0052] If the maximum floating span of the transport parameter interval within the set of receiving demand intervals corresponding to each receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the maximum span of the numerical deviation between the transport parameter and the nearest critical value of the interval after the interval floating of the real-time transport subject corresponding to the transport parameter and the floating interval does not exceed the maximum span value and the threshold, and the speed of increase of the on-time completion rate of the receiving subject of the overall logistics transportation network during the network efficiency evaluation period and the speed of increase of the receiving subject that has not been completed and the transport parameter interval floating does not exceed the speed value ratio threshold, then it is inferred that the demand assessment of the receiving subject during the network efficiency evaluation period is normal, and a low-intensity demand signal is generated and sent to the vehicle transportation management platform;

[0053] After receiving the supply impact assessment signal, the supply impact assessment unit conducts supply impact assessment on the logistics transportation network, infers whether there is fluctuation in the supply performance of the current logistics transportation network from the direction of the logistics transportation network, monitors the transportation efficiency of each network in real time, and makes timely adjustments when the transportation efficiency is abnormal. At the same time, it can control the supply impact according to the current period to improve the accuracy of the transportation network efficiency assessment;

[0054] The accumulated duration of the non-overlapping moments of any set transport parameter and the corresponding transport parameter interval in the transport performance set of the transport subject within the network efficiency evaluation period is obtained, and the advance duration of the preset arrival time of the current transport subject is collected, and the supply duration impact data is obtained by comparing the duration values; at the same time, the frequency of the continuous floating span increase of the corresponding transport parameter setting value of the transport subject with the increase of the transport frequency within the network efficiency evaluation period is obtained, and the frequency of the continuous floating span increase of the corresponding transport parameter setting value of the transport subject with the increase of the transport frequency within the network efficiency evaluation period is marked as the supply parameter impact data;

[0055] At the same time, the supply duration impact data and supply parameter impact data are compared with the duration value ratio threshold and span increase frequency threshold respectively:

[0056] If the supply duration impact data exceeds the duration value ratio threshold, or the supply parameter impact data exceeds the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transport network is abnormal, and a transport assessment high impact signal is generated and sent to the vehicle transport management platform. After receiving the transport assessment high impact signal, the vehicle transport management platform conducts transport control on the current real-time transport subject, increases the transport volume without affecting the transport efficiency, and reduces the real-time demand transport volume if it affects the transport efficiency;

[0057] If the supply duration impact data does not exceed the duration value ratio threshold, and the supply parameter impact data does not exceed the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transport network is normal, and a transport assessment low impact signal is generated and sent to the vehicle transport management platform;

[0058] Embodiment 2

[0059] See also Figure 2As shown, the vehicle transportation management platform is communicatively connected with a transportation network efficiency evaluation unit. The vehicle transportation management platform generates a transportation network efficiency evaluation signal and sends the transportation network efficiency evaluation signal to the transportation network efficiency evaluation unit. After receiving the transportation network efficiency evaluation signal, the transportation network efficiency evaluation unit evaluates the transportation efficiency of the logistics transportation network. According to the real-time transportation status combined with the demand analysis and supply analysis of the current network, it accurately infers whether the operation efficiency of the logistics transportation network meets the demand, thereby improving the transportation efficiency of the logistics transportation network and the rationality of the internal scheduling of the network, and further detecting the transportation feasibility of the logistics transportation network.

[0060] Obtain the delay time between each line and station of the logistics transportation network during the network efficiency evaluation period, and calculate the standard deviation of the delay time, and set the label BZ; obtain the maximum floating speed of the cargo wear rate when transporting items of different specifications during the network efficiency evaluation period, and at the same time obtain the cumulative delay time of the transportation station of the real-time transportation line after the increase of the loading and unloading time delay when transporting items of different values ​​during the network efficiency evaluation period, and set the maximum floating speed of the cargo wear rate when transporting items of different specifications during the network efficiency evaluation period and the cumulative delay time of the transportation station of the real-time transportation line after the increase of the loading and unloading time delay when transporting items of different values ​​during the network efficiency evaluation period, and set the labels FDV and YCS respectively;

[0061] The above collected data are uniformly marked as efficiency evaluation information, and substituted into the formula to obtain the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period, where the formula is:

[0062] Among them, XP represents the efficiency evaluation coefficient of the logistics transportation network during the network efficiency evaluation period, e is a natural constant, fc1 and fc2 are preset proportional coefficients, DWYS represents the normal delay time in the set unit time, K is the time error coefficient, when the platform receives a high impact signal or a high intensity demand signal for transportation evaluation, the value is 0.9; conversely, when the platform receives a low impact signal and a low intensity demand signal for transportation evaluation, the value is 1.2; α is the coefficient error correction factor, the value is 0.98;

[0063] Compare the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period with the efficiency evaluation coefficient threshold:

[0064] If the efficiency evaluation coefficient of the logistics transportation network exceeds the efficiency evaluation coefficient threshold during the network efficiency evaluation period, the efficiency evaluation during the network efficiency evaluation period is determined to be abnormal, an efficiency evaluation abnormality signal is generated and sent to the vehicle transportation management platform. After receiving the efficiency evaluation abnormality signal, the vehicle transportation management platform performs transportation subject scheduling and control on the current logistics transportation network. If the current normal transportation demand has no impact, the subsequent transportation will be controlled by task volume. If the current transportation demand has an impact, the transportation line will be increased during the subsequent control, reducing the impact of the previous transportation.

[0065] If the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period does not exceed the efficiency evaluation coefficient threshold, it is determined that the efficiency evaluation within the network efficiency evaluation period is normal, and an efficiency evaluation normal signal is generated and sent to the vehicle transportation management platform;

[0066] A comprehensive transportation management method for logistics vehicles, the specific management method is as follows:

[0067] Real-time transportation matching: mark the vehicles to be transported in the logistics transportation network as transport entities, and mark them as a transportation performance set according to the transport parameters of the transport entities; mark each receiving location in the logistics transportation network as a receiving entity, and mark them as a receiving demand interval set according to the receiving parameters of the receiving entity, and perform entity matching; after completing real-time transportation matching, set the network efficiency evaluation period;

[0068] Demand assessment: conduct demand assessment on the overall logistics transportation network during the current network efficiency assessment period, collect transmission span data and transmission speed data, and infer whether the demand assessment is normal based on data comparison;

[0069] Supply impact assessment: Conduct supply impact assessment on the logistics transportation network, obtain supply duration impact data and supply parameter impact data, and infer whether the transportation entity impact assessment is abnormal based on data comparison and analysis;

[0070] Transport network efficiency evaluation: evaluate the transport efficiency of the logistics transport network, collect efficiency evaluation information, substitute it into the formula to obtain the efficiency evaluation coefficient of the logistics transport network within the network efficiency evaluation period, and infer whether the efficiency evaluation is abnormal based on the coefficient comparison;

[0071] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0072] When the present invention is in use, the real-time transportation matching unit marks the vehicles to be transported in the logistics transportation network as transportation entities, and marks them as transportation performance sets according to the transportation parameters of the transportation entities, marks each receiving location in the logistics transportation network as a receiving entity, and marks them as a receiving demand interval set according to the receiving parameters of the receiving entity, and performs entity matching; after completing the real-time transportation matching, the network efficiency evaluation period is set; the demand evaluation unit performs demand evaluation on the current network efficiency evaluation period of the overall logistics transportation network, collects the transmission span data and the transmission speed data, and infers whether the demand evaluation is normal based on data comparison; the supply impact evaluation unit performs supply impact evaluation on the logistics transportation network, obtains the supply duration impact data and the supply parameter impact data, and infers whether the transportation entity impact evaluation is abnormal based on data comparison analysis; the transportation network efficiency evaluation unit performs transportation efficiency evaluation on the logistics transportation network, collects efficiency evaluation information, substitutes it into the formula to obtain the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period, and infers whether the efficiency evaluation is abnormal based on coefficient comparison.

[0073] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A comprehensive transportation management system for logistics vehicles, characterized in that: Including vehicle transportation management platform, the vehicle transportation management platform communication connections are: The transport real-time matching unit is used to mark the vehicles to be transported in the logistics transport network as transport entities, and mark them as transport performance sets according to the transport parameters of the transport entities, mark each receiving place in the logistics transport network as a receiving entity, and mark them as a receiving demand interval set according to the receiving parameters of the receiving entity, and perform entity matching; after completing the transport real-time matching, set the network efficiency evaluation period; The demand assessment unit is used to conduct demand assessment for the current network efficiency assessment period of the overall logistics transportation network, collect the transmission span data and transmission speed data, and infer whether the demand assessment is normal based on data comparison; The supply impact assessment unit is used to conduct supply impact assessment on the logistics transportation network, obtain supply duration impact data and supply parameter impact data, and infer whether the transportation subject impact assessment is abnormal based on data comparison and analysis; The transportation network efficiency evaluation unit is used to evaluate the transportation efficiency of the logistics transportation network, collect efficiency evaluation information, substitute it into the formula to obtain the efficiency evaluation coefficient of the logistics transportation network within the network efficiency evaluation period, and infer whether the efficiency evaluation is abnormal based on the coefficient comparison.

2. A logistics vehicle integrated transportation management system according to claim 1, characterized in that: The subject matching process is as follows: Analyze the receiving subject and the transporting subject. If any transport parameter in the transport performance set corresponding to the transporting subject that currently generates the idle instruction is within the corresponding type parameter interval in the receiving demand interval set of the current receiving subject, then the current transporting subject is uniformly marked as a candidate for selection of the real-time receiving subject. The objects to be selected are selected and analyzed to obtain the ratio of the number of receiving subjects other than the current receiving subject to the total number of the objects to be selected of the current receiving subject, and at the same time, the number of objects to be selected of the current receiving subject corresponding to the objects to be selected that satisfy the receiving subjects other than the current receiving subject in real time except the current object to be selected is obtained, and they are marked as current satisfaction information and other satisfaction information respectively.

3. A logistics vehicle integrated transportation management system according to claim 2, characterized in that If the current satisfied information exceeds the set threshold ratio, and other satisfied information exceeds the threshold number of candidates, the candidates of the current receiving subject will be selected one by one, and the administrator terminal will send the selected candidates to the vehicle transportation management platform; If the current satisfied information does not exceed the set threshold ratio, the candidate currently analyzed in real time will be used as the candidate for real-time selection of the current receiving subject; If the current satisfying information does not exceed the threshold of the number of objects to be selected, the current object to be selected will be set as the object to be selected, and the object to be selected of the current receiving subject will be selected based on the comparison result of the corresponding threshold value of the ratio of the number of receiving subjects other than the current receiving subject to the total number. Specifically: if the current satisfying information exceeds the set threshold ratio, the current object to be selected will not be used as the selected object; otherwise, the current object to be selected will be used as the selected object, and the transportation time of the receiving subject that is adapted to the current selected object will be staggered.

4. The integrated transportation management system for logistics vehicles according to claim 1 is characterized in that: The transmission span data and transmission speed data are respectively the corresponding sum of the maximum floating span of the transportation parameter interval in the set of receiving demand intervals corresponding to each receiving entity of the overall logistics transportation network during the network efficiency evaluation period and the numerical deviation of the transportation parameters of the real-time transportation entity after the interval floating and the nearest critical value of the interval after floating, and the corresponding speed ratio of the increase rate of the on-time completion of the receiving entity of the overall logistics transportation network during the network efficiency evaluation period to the increase rate of the receiving entity that has not completed and has floating transportation parameter intervals.

5. A logistics vehicle integrated transportation management system according to claim 4, characterized in that: If the transmission span data exceeds the maximum span value and threshold, or the transmission speed data exceeds the speed value ratio threshold, it is inferred that the demand assessment of the receiving entity during the network efficiency evaluation period is abnormal; if the transmission span data does not exceed the maximum span value and threshold, and the transmission speed data does not exceed the speed value ratio threshold, it is inferred that the demand assessment of the receiving entity during the network efficiency evaluation period is normal.

6. A logistics vehicle integrated transportation management system according to claim 1, characterized in that: The supply time impact data is expressed as: the ratio of the cumulative duration of non-overlapping moments of any set transportation parameters and the corresponding transportation parameter interval in the transportation performance set of the transportation entity within the network efficiency evaluation period to the corresponding duration numerically corresponding to the advance time of the preset arrival time of the current transportation entity; the supply parameter impact data is the frequency of increase in the continuous floating span of the corresponding transportation parameter setting value of the transportation entity as the transportation frequency increases within the network efficiency evaluation period.

7. A logistics vehicle integrated transportation management system according to claim 6, characterized in that: If the supply duration impact data exceeds the duration value ratio threshold, or the supply parameter impact data exceeds the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transport network is abnormal; if the supply duration impact data does not exceed the duration value ratio threshold, and the supply parameter impact data does not exceed the span increase frequency threshold, it is inferred that the transport subject impact assessment of the current logistics transport network is normal.

8. The integrated transportation management system for logistics vehicles according to claim 1 is characterized in that: The efficiency evaluation information includes the standard deviation of the delay time between each line and station in the logistics transportation network during the network efficiency evaluation period, the maximum floating speed of the cargo wear rate when transporting items of different specifications during the network efficiency evaluation period, and the cumulative delay time of the transportation stations of the real-time transportation lines after the delay in loading and unloading time is increased when transporting items of different values ​​during the network efficiency evaluation period.

9. A comprehensive transportation management system for logistics vehicles according to claim 8, characterized in that: If the efficiency evaluation coefficient of the logistics transportation network during the network efficiency evaluation period exceeds the efficiency evaluation coefficient threshold, it is determined that the efficiency evaluation during the network efficiency evaluation period is abnormal; If the efficiency evaluation coefficient of the logistics transportation network during the network efficiency evaluation period does not exceed the efficiency evaluation coefficient threshold, it is determined that the efficiency evaluation during the network efficiency evaluation period is normal.

10. A method for comprehensive transportation management of logistics vehicles, characterized in that: A logistics vehicle integrated transportation management system as described in any one of claims 1 to 9 is adopted.

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