CN115936564B - Logistics management method and system for plastic uptake packing boxes - Google Patents
Logistics management method and system for plastic uptake packing boxes Download PDFInfo
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Abstract
The invention relates to the technical field of logistics management, and provides a method and a system for logistics management of plastic uptake packing boxes, wherein the method comprises the following steps: uploading first state information and second state information of the plastic uptake packing box according to the plastic uptake packing box positioning chip; acquiring a first geographic coordinate and a first transportation route according to the first state information to evaluate the transportation time length, generating a first transportation time length, and dynamically optimizing when the first transportation time length does not meet the expected transportation time length to generate a second transportation route; according to the second state information, obtaining the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box to evaluate the damage rate, and generating a first damage probability; and carrying out logistics management on the plastic sucking packaging boxes according to the second transportation route and the first damage probability. The technical problem that the controllability of the transportation process is poor due to the fact that information visualization is weak in logistics transportation of plastic suction packages in the prior art is solved.
Description
Technical Field
The invention relates to the technical field related to logistics management, in particular to a plastic uptake packing box logistics management method and system.
Background
The plastic uptake package has stronger plasticity and protect function, can effectively avoid collision between the product in the transportation, and plastic uptake package customization grid can make the product be difficult to remove, even in hard motion, also can protect the integrality of product, consequently plastic uptake package is favored in commodity circulation transportation product.
At present, logistics transportation management of plastic uptake packages is mainly carried by a traditional logistics means, and the defect is that logistics information is only visualized at two ends, and visualization is weaker in the transportation process, so that the controllability of the transportation process of the plastic uptake packages is poorer.
In summary, in the prior art, the logistics transportation of the blister package has the technical problem of poor controllability in the transportation process due to weak information visualization.
Disclosure of Invention
The application aims to solve the technical problem that the transportation process controllability is poor due to the fact that information visualization is weak in the logistics transportation of the plastic suction packaging box in the prior art.
In view of the above problems, embodiments of the present application provide a method and a system for managing plastic uptake packing box logistics.
In a first aspect of the disclosure, a method for managing a blister package logistics is provided, where the method includes: uploading first state information and second state information of the plastic uptake packing box according to the plastic uptake packing box positioning chip; acquiring a first geographic coordinate and a first transportation route according to the first state information; carrying out transportation duration assessment according to the first geographic coordinates and the first transportation route, and generating a first transportation duration; when the first transportation duration does not meet the expected transportation duration, dynamically optimizing the first transportation route to generate a second transportation route; according to the second state information, obtaining the vibration amplitude of the plastic suction packaging box and the vibration frequency of the plastic suction packaging box; performing damage rate evaluation according to the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box, and generating a first damage probability; and carrying out logistics management on the plastic sucking packaging boxes according to the second transportation route and the first damage probability.
In another aspect of the disclosure, a blister package logistics management system is provided, including: the state information uploading module is used for uploading the first state information and the second state information of the plastic sucking packaging box according to the plastic sucking packaging box positioning chip; the state information extraction module is used for acquiring a first geographic coordinate and a first transportation route according to the first state information; the transportation time length evaluation module is used for carrying out transportation time length evaluation according to the first geographic coordinates and the first transportation route and generating a first transportation time length; the transportation route optimization module is used for dynamically optimizing the first transportation route and generating a second transportation route when the first transportation duration does not meet the expected transportation duration; the shake feature extraction module is used for acquiring the shake amplitude of the plastic-sucking packaging box and the shake frequency of the plastic-sucking packaging box according to the second state information; the damage probability analysis module is used for carrying out damage rate evaluation according to the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box, and generating a first damage probability; and the task execution module is used for carrying out logistics management of the plastic sucking packaging boxes according to the second transportation route and the first damage probability.
In a third aspect of the present disclosure, there is provided an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the methods described above.
In a fourth aspect of the disclosure, there is also provided a computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of the above steps.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the macroscopic positioning information and microscopic shaking information of the plastic sucking packing box are determined through the plastic sucking packing box positioning chip. Analyzing the transportation time based on the macroscopic positioning information; if the transportation time length does not meet the requirement, optimizing the transportation route; evaluating a damage probability of the product based on the microscopic shaking information; and if the damage probability is higher, sending out early warning. According to the technical scheme of realizing the logistics management of the plastic uptake packing box with higher controllability by optimizing the transportation route and the damage probability, the positioning chip is deployed for the plastic uptake packing box, so that the macroscopic positioning state and the microscopic shaking state of the plastic uptake packing box are obtained, the dual management and control of the transportation route and the product safety are realized, the transportation information visualization of the plastic uptake packing box is improved, and the technical effect of enhancing the controllability of the transportation process is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a possible method for managing logistics of plastic uptake packing cases according to an embodiment of the present application;
fig. 2 is a schematic flow chart of determining a first probability of damage in a method for managing logistics of plastic uptake packing cases according to an embodiment of the present application;
FIG. 3 is a schematic block diagram of a blister package logistics management system according to an embodiment of the present application;
fig. 4 is a schematic block diagram of an electronic device according to an embodiment of the present application.
Description of the embodiments
The technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a logistics management method and a logistics management system for a plastic sucking packaging box, which are characterized in that macroscopic positioning information and microscopic shaking information of the plastic sucking packaging box are determined through a plastic sucking packaging box positioning chip. Analyzing the transportation time based on the macroscopic positioning information; if the transportation time length does not meet the requirement, optimizing the transportation route; evaluating a damage probability of the product based on the microscopic shaking information; and if the damage probability is higher, sending out early warning. According to the technical scheme of realizing the logistics management of the plastic uptake packing box with higher controllability by optimizing the transportation route and the damage probability, the positioning chip is deployed for the plastic uptake packing box, so that the macroscopic positioning state and the microscopic shaking state of the plastic uptake packing box are obtained, the dual management and control of the transportation route and the product safety are realized, the transportation information visualization of the plastic uptake packing box is improved, and the technical effect of enhancing the controllability of the transportation process is achieved.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Examples
As shown in fig. 1, an embodiment of the present application provides a method for managing a blister package logistics, including the steps of:
s10: uploading first state information and second state information of the plastic uptake packing box according to the plastic uptake packing box positioning chip;
specifically, the positioning chip of the plastic sucking packing box is a miniature positioning chip arranged in the plastic sucking packing box.
One function of the positioning chip of the plastic sucking packing box is to acquire macroscopic coordinate state information of the plastic sucking packing box and record the macroscopic coordinate state information as first state information. In the conventional transportation process, the preset transportation route is difficult to dynamically change, that is, the transportation route is fixed, but in an actual transportation scenario, the preset transportation route may be due to special reasons, for example: natural disasters and the like cause temporary blocking states, so that transportation efficiency is seriously delayed, even macroscopic route regulation and control are performed, the driver makes decisions based on experience, and accuracy is low. According to the embodiment of the application, the state in the future transportation time of the residual road section can be updated in real time through the positioning chip of the plastic-sucking packaging box, and the transportation time is predicted, if the transportation time does not meet the required time, the route is optimized on a macroscopic scale based on an optimization algorithm based on the Internet of things, a better transportation route is obtained, and the route is directly sent to a driver through a management terminal, and because the route is predicted in advance, the transportation efficiency is not affected. Thereby improving the transportation controllability of the plastic uptake packing box.
The two functions of the positioning chip of the plastic sucking packing box are to acquire microscopic shaking state information of the plastic sucking packing box and record the microscopic shaking state information as second state information. Because the plastic sucking package is usually packaged according to the size and shape of the product, the product has strong fixity, so the microscopic shaking of the plastic sucking package box and the microscopic shaking of the product can be regarded as the same frequency, and the plastic sucking package has weak external pressure resistance substantially due to the inherent defect of the plastic package, so the damage probability of the product can be evaluated according to the microscopic shaking state of the plastic sucking package box, thereby being managed in time so as to reduce the damage rate of the transported product.
S20: acquiring a first geographic coordinate and a first transportation route according to the first state information;
specifically, the first state information is used for evaluating whether the current transportation route driven by the driver meets the requirement or not, so that the first state information at least comprises real-time longitude and latitude coordinates of the blister packaging box, namely first geographic coordinates; and the current transport route travelled by the driver is recorded as a first transport route. Providing basic data for the subsequent assessment of whether the transportation route meets the requirements.
S30: carrying out transportation duration assessment according to the first geographic coordinates and the first transportation route, and generating a first transportation duration;
Further, the step S30 includes the steps of:
s31: inputting the first geographic coordinates into the first transportation route, and obtaining a first route to be transported directional node diagram and a first preset transportation duration;
s32: traversing the first route directed node diagram to be transported, and collecting first route passing state information and first weather forecast information of the expected transportation duration, wherein the first route passing state information comprises a plurality of blocking nodes and a plurality of blocking durations;
s33: generating a first transportation duration loss coefficient according to the plurality of lockout nodes and the plurality of lockout durations;
s34: generating a second transportation duration loss coefficient according to the first weather forecast information;
s35: and adjusting the first preset transportation time length according to the first transportation time length loss coefficient and the second transportation time length loss coefficient, and generating the first transportation time length.
Specifically, an index for evaluating whether the transportation route meets the requirement is a transportation duration, and the transportation duration meets the requirement. The first transport duration refers to a predicted transport duration for the blister pack to continue to be transported along the first transport route. The preferred first transport duration evaluation procedure is as follows:
The first to-be-transported route directional node diagram refers to a node wiring diagram which is intercepted from the first transport route based on first geographic coordinates and is not passed, and the direction pointed by the wiring arrow is the transport direction of the blister packaging box. Any one node characterizes a transportation site including, but not limited to: province name, city name, district name, town name, county name, logo area, etc. According to the transportation direction of the first transportation route, each node is sequentially connected by using an arrow, and a first route directional node diagram to be transported is obtained.
The first preset transportation time length refers to the preset transportation time length from the last node to the current node, corresponds to a plurality of nodes of the first route to be transported directional node diagram one by one, and represents the total transportation time length obtained by adding the transportation time lengths when all the nodes are in the traffic state.
The first route passing state information refers to passing states of a plurality of nodes representing a first route to be transported directed node diagram; the plurality of blocked nodes refer to nodes with traffic states which cannot be passed; the plurality of lockout durations refer to a predicted lockout duration determined based on a lockout reason. Illustratively: and setting the blocking duration according to the influence level caused by the natural disasters if a certain node cannot pass due to the blocking of the natural disasters. Because the plurality of blocking time periods are simultaneous blocking time periods of the current time node, the blocking time periods are simultaneously lost, and therefore the maximum value is taken as a reference, the first transportation time period loss coefficient refers to the blocking time periods of the plurality of nodes, the maximum value of the blocking time periods is taken out, and the first transportation time period loss coefficient is set.
The first weather forecast information refers to data obtained by calling weather information in a preset time length in the future. Exemplary are as follows: weather information of hail, rain, snow, typhoon, sunny days, cloudy days and the like is adopted as the future passing node weather. The influence duration of different weather on cargo transportation is preferably realized through BP neural network:
and acquiring transportation data of the vehicle types of the plurality of groups of transportation blister packaging boxes based on logistics big data, wherein the transportation data comprise transportation weather record data, ideal transportation duration record data and actual transportation duration record data. Dividing the transportation weather record data, the ideal transportation time length record data and the actual transportation time length record data into 8:2, the eight-component data is set as training data, and the two-component data is set as verification data. During training, any group of transportation weather record data and ideal transportation time length record data are used as training input data to be input into a BP neural network, predicted transportation time length is output, deviation between the corresponding group of actual transportation time length record data and the predicted transportation time length is calculated, a verification counter +1 is set when the deviation is smaller than a preset deviation, and the verification counter is set to 0 when the deviation is larger than or equal to the preset deviation; and continuously selecting the transportation weather record data, the ideal transportation duration record data and the actual transportation duration record data from the training data to train, when the number of the verification counter is greater than or equal to a first preset number, using the verification data to verify, wherein the verification mode is completely the same as the training mode, and when the count of the counter in the verification process is greater than or equal to a second preset number, the BP neural network is considered to be converged, otherwise, the training data is returned to continue training.
And inputting the first weather forecast information into a model after training, and obtaining a second transportation time loss coefficient of weather influence through the deviation of the forecast time length and the first preset transportation time length.
And then the first transportation time loss coefficient and the second transportation time loss coefficient are adjusted to the first preset transportation time, namely the first transportation time loss coefficient and the second transportation time loss coefficient are added to the original first preset transportation time, the final result is recorded as the first transportation time, and the later call is waited.
S40: when the first transportation duration does not meet the expected transportation duration, dynamically optimizing the first transportation route to generate a second transportation route;
specifically, the desired transport duration refers to a maximum duration of transporting the blister pack preset for the remaining road section.
When the first transportation duration meets the expected transportation duration, that is, the first transportation duration is smaller than or equal to the expected transportation duration, the current transportation route is indicated to meet the requirements, and the analysis of the second state can be performed.
When the first transportation time length does not meet the expected transportation time length, namely, the first transportation time length is longer than the expected transportation time length, the current transportation route is not in accordance with the requirements, and the first transportation route is dynamically optimized to generate a second transportation route.
And the second transportation route obtained based on the set optimization algorithm accords with the expected transportation time length, and transportation management is carried out according to the second transportation route, so that the transportation controllability of the plastic uptake packing box is improved.
S50: according to the second state information, obtaining the vibration amplitude of the plastic suction packaging box and the vibration frequency of the plastic suction packaging box;
specifically, the second state information is state information for evaluating the damage probability of the blister pack product, and at least includes a blister pack vibration amplitude representing the product vibration amplitude, and a blister pack vibration frequency of the product vibration frequency. The damage probability of the product can be estimated through the vibration amplitude of the plastic sucking packaging box and the vibration frequency of the plastic sucking packaging box, and reference data is provided for safety control of the product transportation process.
S60: performing damage rate evaluation according to the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box, and generating a first damage probability;
further, as shown in fig. 2, the step S60 includes the steps of:
s61: acquiring a plastic sucking packaging box transportation state evaluation model, wherein the plastic sucking packaging box transportation state evaluation model comprises a jolt grade evaluation module and a damage rate evaluation module;
S62: evaluating the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box according to the vibration grade evaluation module to generate a vibration grade label;
s63: and evaluating the bump grade label according to the damage rate evaluation module to generate the first damage probability.
Specifically, the first damage probability refers to a result obtained by evaluating the damage rate according to the vibration amplitude of the plastic sucking packing box and the vibration frequency of the plastic sucking packing box. The preferred first probability of damage is assessed by a blister pack shipping status assessment model constructed based on a KNN classification algorithm. The construction process of the transport state evaluation model of the plastic sucking packaging box is as follows:
a first step of: collecting historical data of vibration amplitude of plastic sucking packaging boxes of the same type of products, historical data of vibration frequency of the plastic sucking packaging boxes and historical data of damage proportion; dividing historical data of vibration amplitude of the plastic sucking packaging box and historical data of vibration frequency of the plastic sucking packaging box into a plurality of jolting grades according to the historical data of the damage proportion, solving the average value of the damage proportion data in the jolting grades, and recording the average value as the damage probability of the jolting grades.
Step two, constructing a bump grade evaluation module, constructing a first coordinate axis based on the vibration amplitude of the plastic-sucking packaging box, and constructing a second coordinate axis based on the vibration frequency of the plastic-sucking packaging box; and combining the first coordinate axis and the second coordinate axis to obtain a KNN coordinate system, and partitioning the KNN coordinate system according to the vibration amplitude historical data of the plastic suction packaging box and the vibration frequency historical data of the plastic suction packaging box corresponding to the vibration grades, so as to obtain a vibration grade evaluation module.
Thirdly, constructing a damage rate assessment module, constructing a mapping relation from the bump grade to the damage probability in the bump grade assessment module based on the association relation between the bump grade and the damage probability, and taking the damage probability as a final output result to obtain the damage rate assessment module.
Evaluating the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box according to the vibration grade evaluation module to generate a vibration grade label; and obtaining a first damage probability according to the damage rate evaluation module. And the product transportation risk can be controlled according to the first damage probability, so that the controllability of the plastic uptake packing box logistics is improved.
S70: and carrying out logistics management on the plastic sucking packaging boxes according to the second transportation route and the first damage probability.
Further, the step S70 of performing blister package logistics management according to the second transportation route and the first damage probability includes the steps of:
s71: judging whether the first damage probability is larger than or equal to a preset damage probability or not;
s72: if the damage early warning information is greater than or equal to the first damage early warning information, generating first damage early warning information and sending the first damage early warning information to the logistics management terminal;
s73: and if the transport route is smaller than the first transport route, carrying out transport route adjustment according to the second transport route.
Specifically, the preset damage probability refers to a preset sustainable product transportation loss rate; when the first damage probability is greater than or equal to the preset damage probability, the product damage amount is greater than the preset damage amount, and the first damage early warning information is sent to the logistics management terminal, so that a manager of the logistics management terminal can inform transportation staff to strengthen operations such as fixing the plastic sucking packaging box. After the operations such as fixing and reinforcing the plastic sucking packaging box are performed preferentially, whether the route needs to be adjusted is analyzed,
if the damage amount is smaller than the preset damage amount, the damage amount is not larger than the preset damage amount, at the moment, whether the route needs to be adjusted is judged, if so, the transportation route is adjusted according to the second transportation route, the second transportation route is preferably sent to the logistics management terminal, and when the logistics management terminal feeds back and agrees, the second transportation route is sent to logistics transportation personnel for management, so that the logistics transportation controllability of the plastic suction packaging box is improved.
Further, when the first transportation duration does not meet the expected transportation duration, the first transportation route is dynamically optimized, and a second transportation route is generated, and step S40 includes the steps of:
s41: when the first transportation duration does not meet the expected transportation duration, acquiring a first transportation end point coordinate;
S42: constructing a route node distribution network according to the first geographic coordinate and the first transportation destination coordinate based on the type of the transportation vehicle;
s43: obtaining an optimal fitness function:
wherein i represents an i-th node of the kth route, i+1 represents an i+1-th node of the kth route,
representing three-dimensional Manhattan distance, x, y and z representing longitude, latitude and altitude coordinates respectively, n representing total number of nodes of the kth route, c representing transportation cost of the kth route, < >>
And->
Characterization of the bias index, and is greater than or equal to 0, < >>
Characterizing a kth route fitness;
s44: and according to the optimized fitness function, route optimization is performed based on the route node distribution network and the first transportation route, and the second transportation route is generated.
Further, the step S44 includes the steps of:
s441: acquiring a tabu construction period;
s442: according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a first period optimization route and a first period elimination route group are generated;
S443: adding the first period elimination route group into an elimination data group, and adding the first period optimization route into a first tabu list;
s444: according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a second period optimization route and a second period elimination route group are generated;
s445: adding the second period elimination route group into the elimination data group, and judging whether the second period optimization route fitness is greater than or equal to the first period optimization route fitness; s446: if the first period optimization route is greater than or equal to the first tabu list, adding the first period optimization route into the elimination data set, and adding the second period optimization route into the first tabu list;
s447: repeating the iterative preset period number, and setting the route out table in the first tabu table as the second transportation route.
Specifically, the optimization process of the second transportation route is preferably as follows:
when the first transportation time length does not meet the expected transportation time length, obtaining a first transportation end point coordinate according to a first transportation route; and screening the routes which the transport vehicles can pass through based on the type of the transport vehicles, screening the routes which the transport vehicles can pass through according to the first geographic coordinates and the first transport destination coordinates, and recording the passing nodes of all the routes, thereby obtaining a route node distribution network representing all the routes.
Obtaining an optimal fitness function:
In order to avoid local optimization, a fixed iteration period is established as a tabu construction period, the optimal value of each period is added into a tabu table, the optimal value of each period is compared with the tabu data of the tabu table after each period is finished, if the tabu data fitness of the tabu table is lower than the optimal value of the period, the tabu data of the tabu table is eliminated, the optimal value of the period is added into the tabu table, and finally, the optimal value is output when the preset period number is met, so that a second transportation route is obtained.
The first period optimization route refers to an optimal route when the first tabu construction period is met; the first period eliminated route group refers to the route traversed when the first tabu period is satisfied. Adding the first period optimized route into a first tabu list, adding the first period obsolete route group into an obsolete data group, wherein data of the first tabu list and the obsolete data group cannot be traversed.
The second period optimization route refers to an optimal route when the second tabu construction period is satisfied; the second period eliminated route group refers to the route traversed when the second tabu period is satisfied. Adding a second periodic elimination route group into an elimination data group, comparing the tabu route fitness of a first tabu table with the tabu route fitness of a second periodic optimization route, and adding a first periodic optimization route into the elimination data group and adding the second periodic optimization route into the first tabu table if the tabu route fitness of the second periodic optimization route is greater than or equal to the tabu route fitness of the first tabu table; if the data set is smaller than the set threshold value, adding a second period optimization route into the elimination data set, wherein tabu table data are unchanged. And outputting tabu data as a second transportation route when the preset period number is repeated. By adopting the optimization mode of the tabu list, local optimization is avoided, and the accuracy of route optimization is improved.
Further, the optimizing fitness function performs route optimization based on the route node distribution network and the first transportation route, and when the tabu construction period is satisfied, a first period optimizing route and a first period eliminating route group are generated, and step S442 includes the steps of:
S4421: randomly extracting a kth transportation route according to the route node distribution network;
s4422: analyzing the kth transportation route according to the optimized fitness function to generate kth transportation route fitness;
s4423: judging whether the k-th transportation route fitness is greater than or equal to the k-1-th transportation route fitness;
s4424: if the transportation route is greater than or equal to the first period elimination route group, adding a k-1 transportation route into the first period elimination route group; if the number is smaller than the first period elimination route group, adding the kth transportation route into the first period elimination route group;
s4425: judging whether k meets the tabu-building period;
s4426: if not, repeating the iteration; and if yes, acquiring the first period optimization route and the first period elimination route group.
Specifically, the kth transport route refers to a transport route randomly extracted by the route node distribution network in the first period, and the optimization process of any other period is identical. The kth transportation route fitness refers to a result obtained by analyzing the kth transportation route according to an optimized fitness function. Judging whether the k-th transportation route fitness is greater than or equal to the k-1-th transportation route fitness; if the transportation route is greater than or equal to the first period elimination route group, adding a k-1 transportation route into the first period elimination route group; if the number is smaller than the first period elimination route group, adding the kth transportation route into the first period elimination route group; judging whether k meets the tabu-building period; if not, repeating the iteration; and if yes, acquiring the first period optimization route and the first period elimination route group.
In summary, the method and the system for managing the logistics of the plastic uptake packing box provided by the embodiment of the application have the following technical effects:
1. the positioning chip is deployed for the plastic uptake packing box, so that the macroscopic positioning state and the microscopic shaking state of the plastic uptake packing box are obtained, double control of the transportation route and the product safety is realized, and the technical effect of improving the transportation information visualization of the plastic uptake packing box and further enhancing the controllability of the transportation process is achieved.
2. By applying a plurality of tabu tables, local optimization of the transportation route is avoided, and global optimality of an optimization result is improved.
Example two
Based on the same inventive concept as the method for managing the logistics of the blister package in the foregoing embodiment, as shown in fig. 3, an embodiment of the present application provides a system for managing the logistics of the blister package, which includes:
the state information uploading module 100 is used for uploading the first state information and the second state information of the blister packaging box according to the blister packaging box positioning chip;
the state information extraction module 200 is configured to obtain a first geographic coordinate and a first transportation route according to the first state information;
the transport duration evaluation module 300 is configured to perform transport duration evaluation according to the first geographic coordinate and the first transport route, and generate a first transport duration;
A transportation route optimization module 400, configured to dynamically optimize the first transportation route to generate a second transportation route when the first transportation duration does not meet the expected transportation duration;
the shake feature extraction module 500 is configured to obtain a shake amplitude of the blister package and a shake frequency of the blister package according to the second state information;
the damage probability analysis module 600 is configured to perform damage probability evaluation according to the vibration amplitude of the blister package case and the vibration frequency of the blister package case, so as to generate a first damage probability;
and the task execution module 700 is used for carrying out blister package logistics management according to the second transportation route and the first damage probability.
Further, the transportation duration evaluation module 300 performs the steps of:
inputting the first geographic coordinates into the first transportation route, and obtaining a first route to be transported directional node diagram and a first preset transportation duration;
traversing the first route directed node diagram to be transported, and collecting first route passing state information and first weather forecast information of the expected transportation duration, wherein the first route passing state information comprises a plurality of blocking nodes and a plurality of blocking durations;
Generating a first transportation duration loss coefficient according to the plurality of lockout nodes and the plurality of lockout durations;
generating a second transportation duration loss coefficient according to the first weather forecast information;
and adjusting the first preset transportation time length according to the first transportation time length loss coefficient and the second transportation time length loss coefficient, and generating the first transportation time length.
Further, the transportation route optimization module 400 performs the steps of:
when the first transportation duration does not meet the expected transportation duration, acquiring a first transportation end point coordinate;
constructing a route node distribution network according to the first geographic coordinate and the first transportation destination coordinate based on the type of the transportation vehicle;
obtaining an optimal fitness function:
and according to the optimized fitness function, route optimization is performed based on the route node distribution network and the first transportation route, and the second transportation route is generated.
Further, the transportation route optimization module 400 performs the steps of:
acquiring a tabu construction period;
according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a first period optimization route and a first period elimination route group are generated;
adding the first period elimination route group into an elimination data group, and adding the first period optimization route into a first tabu list;
according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a second period optimization route and a second period elimination route group are generated;
adding the second period elimination route group into the elimination data group, and judging whether the second period optimization route fitness is greater than or equal to the first period optimization route fitness;
if the first period optimization route is greater than or equal to the first tabu list, adding the first period optimization route into the elimination data set, and adding the second period optimization route into the first tabu list;
repeating the iterative preset period number, and setting the route out table in the first tabu table as the second transportation route.
Further, the transportation route optimization module 400 performs the steps of:
randomly extracting a kth transportation route according to the route node distribution network;
analyzing the kth transportation route according to the optimized fitness function to generate kth transportation route fitness;
judging whether the k-th transportation route fitness is greater than or equal to the k-1-th transportation route fitness;
if the transportation route is greater than or equal to the first period elimination route group, adding a k-1 transportation route into the first period elimination route group; if the number is smaller than the first period elimination route group, adding the kth transportation route into the first period elimination route group;
judging whether k meets the tabu-building period;
if not, repeating the iteration; and if yes, acquiring the first period optimization route and the first period elimination route group.
Further, the damage probability analysis module 600 performs the steps of:
acquiring a plastic sucking packaging box transportation state evaluation model, wherein the plastic sucking packaging box transportation state evaluation model comprises a jolt grade evaluation module and a damage rate evaluation module;
evaluating the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box according to the vibration grade evaluation module to generate a vibration grade label;
And evaluating the bump grade label according to the damage rate evaluation module to generate the first damage probability.
Further, the task execution module 700 executes steps including:
judging whether the first damage probability is larger than or equal to a preset damage probability or not;
if the damage early warning information is greater than or equal to the first damage early warning information, generating first damage early warning information and sending the first damage early warning information to the logistics management terminal;
and if the transport route is smaller than the first transport route, carrying out transport route adjustment according to the second transport route.
Example III
An electronic device according to an embodiment of the present application includes a memory and a processor. The memory is for storing non-transitory computer readable instructions. In particular, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions. In one embodiment of the present application, the processor is configured to execute the computer readable instructions stored in the memory, so that the electronic device performs all or part of the steps of a method for managing blister pack logistics in accordance with the embodiments of the present application described above.
It should be understood by those skilled in the art that, in order to solve the technical problem of how to obtain a good user experience effect, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures are also included in the protection scope of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. A schematic diagram of an electronic device suitable for use in implementing embodiments of the present application is shown. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
As shown in fig. 4, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.), which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from the storage means into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
In general, the following devices may be connected to the I/O interface: input means including, for example, sensors or visual information gathering devices; output devices including, for example, display screens and the like; storage devices including, for example, magnetic tape, hard disk, etc.; a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices, such as edge computing devices, to exchange data. While fig. 4 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device, or installed from a storage device, or installed from ROM. All or part of the steps of a blister pack logistics management method are performed when the computer program is executed by the processing apparatus.
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
A computer-readable storage medium according to an embodiment of the present application has stored thereon non-transitory computer-readable instructions. All or part of the steps of one of the aforementioned blister pack logistics management methods are performed when the non-transitory computer readable instructions are executed by a processor.
The computer-readable storage medium described above includes, but is not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
The basic principles of the present application have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not intended to be limited to the details disclosed herein as such.
In this application, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions, and the block diagrams of devices, apparatuses, devices, systems referred to in this application are merely illustrative examples and are not intended to require or implicate a connection, arrangement, or configuration that must be made in the manner illustrated by the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
In addition, as used herein, the use of "or" in the recitation of items beginning with "at least one" indicates a separate recitation, such that recitation of "at least one of A, B or C" for example means a or B or C, or AB or AC or BC, or ABC (i.e., a and B and C). Furthermore, the term "exemplary" does not mean that the described example is preferred or better than other examples.
It is also noted that in the systems and methods of the present application, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent to the present application.
Various changes, substitutions, and alterations are possible to the techniques described herein without departing from the teachings of the techniques defined by the appended claims. Furthermore, the scope of the claims hereof is not to be limited to the exact aspects of the process, machine, manufacture, composition of matter, means, methods and acts described above. The processes, machines, manufacture, compositions of matter, means, methods, or acts, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein may be utilized. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or acts.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the application to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (9)
1. The logistics management method for the plastic sucking packing boxes is characterized by comprising the following steps of:
uploading first state information and second state information of the plastic uptake packing box according to the plastic uptake packing box positioning chip;
acquiring a first geographic coordinate and a first transportation route according to the first state information;
carrying out transportation duration assessment according to the first geographic coordinates and the first transportation route, and generating a first transportation duration;
When the first transportation duration does not meet the expected transportation duration, dynamically optimizing the first transportation route to generate a second transportation route;
according to the second state information, obtaining the vibration amplitude of the plastic suction packaging box and the vibration frequency of the plastic suction packaging box;
performing damage rate evaluation according to the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box, and generating a first damage probability;
carrying out logistics management on the plastic sucking packaging boxes according to the second transportation route and the first damage probability;
the step of carrying out transportation time length assessment according to the first geographic coordinates and the first transportation route to generate a first transportation time length, including:
inputting the first geographic coordinates into the first transportation route, and obtaining a first route to be transported directional node diagram and a first preset transportation duration;
traversing the first route directed node diagram to be transported, and collecting first route passing state information and first weather forecast information of the expected transportation duration, wherein the first route passing state information comprises a plurality of blocking nodes and a plurality of blocking durations;
generating a first transportation duration loss coefficient according to the plurality of lockout nodes and the plurality of lockout durations;
Generating a second transportation duration loss coefficient according to the first weather forecast information;
and adjusting the first preset transportation time length according to the first transportation time length loss coefficient and the second transportation time length loss coefficient, and generating the first transportation time length.
2. The method of claim 1, wherein when the first transport duration does not meet the desired transport duration, dynamically optimizing the first transport route to generate a second transport route, comprising:
when the first transportation duration does not meet the expected transportation duration, acquiring a first transportation end point coordinate;
constructing a route node distribution network according to the first geographic coordinate and the first transportation destination coordinate based on the type of the transportation vehicle;
obtaining an optimal fitness function:
And according to the optimized fitness function, route optimization is performed based on the route node distribution network and the first transportation route, and the second transportation route is generated.
3. A method of blister package logistics management in accordance with claim 2, wherein said generating said second transportation route based on said route node distribution network and said first transportation route in accordance with said optimized fitness function comprises:
acquiring a tabu construction period;
according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a first period optimization route and a first period elimination route group are generated;
adding the first period elimination route group into an elimination data group, and adding the first period optimization route into a first tabu list;
according to the optimization fitness function, route optimization is carried out based on the route node distribution network and the first transportation route, and when the tabu construction period is met, a second period optimization route and a second period elimination route group are generated;
adding the second period elimination route group into the elimination data group, and judging whether the second period optimization route fitness is greater than or equal to the first period optimization route fitness;
If the first period optimization route is greater than or equal to the first tabu list, adding the first period optimization route into the elimination data set, and adding the second period optimization route into the first tabu list;
repeating the iterative preset period number, and setting the route out table in the first tabu table as the second transportation route.
4. A method of blister pack logistics management as claimed in claim 3, wherein said optimizing the route based on the route node distribution network and the first transportation route according to the optimized fitness function, generating a first period optimized route and a first period eliminated route group when the tabu build period is satisfied, comprises:
randomly extracting a kth transportation route according to the route node distribution network;
analyzing the kth transportation route according to the optimized fitness function to generate kth transportation route fitness;
judging whether the k-th transportation route fitness is greater than or equal to the k-1-th transportation route fitness;
if the transportation route is greater than or equal to the first period elimination route group, adding a k-1 transportation route into the first period elimination route group; if the number is smaller than the first period elimination route group, adding the kth transportation route into the first period elimination route group;
Judging whether k meets the tabu-building period;
if not, repeating the iteration; and if yes, acquiring the first period optimization route and the first period elimination route group.
5. The method of claim 1, wherein the performing the damage rate evaluation according to the vibration amplitude of the blister package and the vibration frequency of the blister package, generating the first damage probability, comprises:
acquiring a plastic sucking packaging box transportation state evaluation model, wherein the plastic sucking packaging box transportation state evaluation model comprises a jolt grade evaluation module and a damage rate evaluation module;
evaluating the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box according to the vibration grade evaluation module to generate a vibration grade label;
and evaluating the bump grade label according to the damage rate evaluation module to generate the first damage probability.
6. A method of blister package logistics management as set forth in claim 1, wherein said performing blister package logistics management based on said second transportation route and said first probability of damage comprises:
judging whether the first damage probability is larger than or equal to a preset damage probability or not;
If the damage early warning information is greater than or equal to the first damage early warning information, generating first damage early warning information and sending the first damage early warning information to the logistics management terminal;
and if the transport route is smaller than the first transport route, carrying out transport route adjustment according to the second transport route.
7. A blister package logistics management system, comprising:
the state information uploading module is used for uploading the first state information and the second state information of the plastic sucking packaging box according to the plastic sucking packaging box positioning chip;
the state information extraction module is used for acquiring a first geographic coordinate and a first transportation route according to the first state information;
the transportation time length evaluation module is used for carrying out transportation time length evaluation according to the first geographic coordinates and the first transportation route and generating a first transportation time length;
the transportation route optimization module is used for dynamically optimizing the first transportation route and generating a second transportation route when the first transportation duration does not meet the expected transportation duration;
the shake feature extraction module is used for acquiring the shake amplitude of the plastic-sucking packaging box and the shake frequency of the plastic-sucking packaging box according to the second state information;
the damage probability analysis module is used for carrying out damage rate evaluation according to the vibration amplitude of the plastic-sucking packaging box and the vibration frequency of the plastic-sucking packaging box, and generating a first damage probability;
The task execution module is used for carrying out plastic uptake packing box logistics management according to the second transportation route and the first damage probability;
the step of carrying out transportation time length assessment according to the first geographic coordinates and the first transportation route to generate a first transportation time length, including:
inputting the first geographic coordinates into the first transportation route, and obtaining a first route to be transported directional node diagram and a first preset transportation duration;
traversing the first route directed node diagram to be transported, and collecting first route passing state information and first weather forecast information of the expected transportation duration, wherein the first route passing state information comprises a plurality of blocking nodes and a plurality of blocking durations;
generating a first transportation duration loss coefficient according to the plurality of lockout nodes and the plurality of lockout durations;
generating a second transportation duration loss coefficient according to the first weather forecast information;
and adjusting the first preset transportation time length according to the first transportation time length loss coefficient and the second transportation time length loss coefficient, and generating the first transportation time length.
8. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
A memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of blister pack logistics management as claimed in any one of claims 1 to 6.
9. A computer readable storage medium storing computer instructions for causing a computer to perform a method of blister pack logistics management according to any one of claims 1 to 6.
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| KR101974882B1 (en) * | 2018-08-20 | 2019-05-07 | 전광규 | Real-time monitoring system of logistics delivery process and its operation method |
| EP3899508A4 (en) * | 2018-12-21 | 2022-09-21 | Canscan Softwares and Technologies Inc. | Automated inspection system and associated method for assessing the condition of shipping containers |
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