CN110223027B - Method and device for designing characteristic of identification parameter of cargo loading and unloading point - Google Patents
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Abstract
The application provides a method and a device for designing the characteristic of the identification parameter of a cargo loading and unloading point, wherein the method comprises the following steps: extracting vehicle information, loading and unloading time and loading rate of loaded and unloaded goods; identifying the loading and unloading processes and the non-loading and unloading processes in the non-mutation points; combining the loading accelerations, and labeling the data according to the loading accelerations; identifying loading acceleration and a discontinuity; the method and the device can improve the identification accuracy of the current product and the current function point, help algorithm personnel and rear-end developers to check the accuracy of the warehousing data, understand the business requirements and output correctly.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a device for designing identification parameter characteristics of a cargo loading and unloading point.
Background
At present, most of schemes for identifying goods loading and unloading points are counted by fixed-point card punching of staff, more logistics companies conveniently look up data records of loading and unloading goods through manual counting, however, manual recording is time-consuming, troublesome, large in error and large in manpower input. At present, no mature software for identifying loading and unloading points and visualizing the corresponding loading and unloading points exists in the market.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a method and a device for designing the characteristic of the identification parameter of the cargo handling point, which can improve the identification accuracy of the current product and the current function point, help algorithm personnel and rear-end developers to check the accuracy of the warehousing data, understand the business requirements and output correctly.
In order to solve at least one of the above problems, the present application provides the following technical solutions:
in a first aspect, the present application provides a method for designing characteristics of identification parameters of a cargo handling point, including:
extracting vehicle information, loading and unloading time and loading rate of loaded and unloaded goods;
identifying the loading and unloading processes and the non-loading and unloading processes in the non-mutation points;
combining the loading accelerations, and labeling the data according to the loading accelerations;
loading accelerations and discontinuities are identified.
Further, the extracting of the vehicle information, the loading/unloading time, and the loading rate of the loaded goods includes:
and extracting data, and providing alternative data matched with the loading and unloading points in the data of the stop points according to the necessary stop of the cargos to be loaded and unloaded.
Firstly, the process of identifying loading and unloading goods and non-loading and unloading goods in the non-mutation point comprises the following steps:
calculating the loading acceleration: load _ a ═ (volume)t-volumet-1)/t-(t-1)。
Secondly, the combined loading acceleration comprises:
preprocessing acceleration data, and considering that no loading and unloading event occurs when the acceleration of the sum of 100 seconds of acceleration of a moving window is less than or equal to 0.035 and more than or equal to-0.035;
its loading acceleration is preconditioned to 0. If load _ a is equal to 0, labeling "no-load stage"; load _ a ≠ 0, labeling "loading and unloading stage".
Then, the tagging of data according to loading acceleration includes:
tagging data according to loading acceleration: and (3) loading stage: 1; no loading and unloading: 0; and (3) unloading: -1;
calculating the second derivative of the loading acceleration: load _ a _2 ═ (a)t-at-1) And/t- (t-1), wherein the point equal to zero is the loading trend changing point.
Further, the identifying loading acceleration and discontinuity includes:
and designing loading acceleration energy as a characteristic parameter to carry out loading acceleration identification.
Further, the identifying loading acceleration and discontinuity includes:
mutation point identification was performed by time difference.
In a second aspect, the present application provides a device for designing characteristics of identification parameters of cargo handling points, comprising:
the data preparation module is used for extracting vehicle information, loading and unloading time and loading and unloading rate of loaded goods;
the process identification module is used for identifying the loading and unloading processes and the non-loading and unloading processes in the non-mutation points;
the data label module is used for combining the loading acceleration and labeling the data according to the loading acceleration;
and the characteristic parameter identification module is used for identifying the loading acceleration and the catastrophe point.
According to the technical scheme, the method and the device for designing the characteristics of the identification parameters of the goods loading and unloading points analyze the identification of the goods loading and unloading points through the loading acceleration, and provide a new concept of the loading and unloading acceleration according to the loading rate, so that the start and end points of the loading and unloading can be identified more quickly.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a design method for identifying parameter characteristics of a cargo handling point according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a cargo handling point identification parameter characteristic designing apparatus in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Considering that the scheme aiming at the identification of the goods loading and unloading point is mostly counted by staff at fixed point card punching, more logistics companies conveniently look up the data records of the loading and unloading goods through manual counting, but the manual recording is time-consuming, troublesome, large in error and large in manpower input. At present, the market does not have a mature software for identifying the loading and unloading points and visualizing the corresponding loading and unloading points, and the application provides a method and a device for identifying the characteristic design of the parameter of the loading and unloading points of the goods.
In order to improve the recognition accuracy of the current product and the current function point, help algorithm personnel and back-end developers to verify the accuracy of the warehousing data, understand the business requirements and correctly output, the application provides an embodiment of a cargo handling point recognition parameter feature design method, which specifically includes the following contents, referring to fig. 1:
step S101: vehicle information of loaded goods, loading and unloading time and loading and unloading rate are extracted.
Step S102: the loading and unloading and non-loading and unloading processes are identified in the non-mutation points.
Step S103: and combining the loading accelerations, and labeling the data according to the loading accelerations.
Step S104: loading accelerations and discontinuities are identified.
As can be seen from the above description, the method for designing characteristics of cargo handling point identification parameters according to the embodiments of the present application can analyze the identification of cargo handling points based on loading acceleration, and provide a new concept of loading acceleration according to loading rate, so as to more quickly identify the loading and unloading start and end points.
The detailed steps are as follows:
(1) preparing data: the data is extracted, and vehicle information, cargo loading/unloading time, and cargo loading/unloading rate are extracted by providing data of a stop point matching with the candidate data of the cargo loading/unloading point according to the necessity of stopping for cargo loading/unloading.
(2) The loading and unloading and non-loading and unloading processes are identified in the non-mutation points. Calculating the loading acceleration, load _ a ═ volumet-volumet-1)/t-(t-1)；
(3) Merging acceleration: preprocessing acceleration data, and considering that no loading and unloading event occurs when the acceleration of the sum of 100 seconds of acceleration of a moving window is less than or equal to 0.035 and more than or equal to-0.035; its loading acceleration is preconditioned to 0. If load _ a is equal to 0, labeling "no-load stage"; load _ a ≠ 0, labeling "loading and unloading stage".
(4) For data labeled "load and unload phase". According to the loading acceleration:
load_a1>0, loading stage;
load_a1<0, unloading; (load _ a)1One hundred seconds acceleration)
load_a1No loading or unloading is carried out;
tagging data according to loading acceleration: and (3) loading stage: 1; no loading and unloading: 0; and (3) unloading: -1;
calculating the second derivative of the loading acceleration: load _ a _2 ═ (a)t-at-1) T- (t-1), the point of which is equal to zero being the loading trend change point;
loading is started: load _ a1>0, load _ a _2 is 0, the time of first occurrence;
and (4) finishing loading: load _ a1>0, load _ a _2 equals 0 and load _ a is in 60s1<0, load _ a _2 is 0, the time of first occurrence;
unloading is started: load _ a10, load _ a _2 is 0 and load _ a appears first within 15min1<0, and load _ a _2 is 0.
And (4) finishing unloading: load _ a1<0, load _ a _2 is 0 and load _ a appears first in 15min1>0, load _ a _2 is 0 or load _ a1Time 0, and load _ a _2 0.
(5) "load acceleration" identification:
every time the goods loading changes, the corresponding loading rate changes, and every loading rate change is accompanied with the loading and unloading actions. Therefore, the loading acceleration energy is designed to be used as a characteristic parameter for identification.
The loading acceleration energy is considered to have an energy characteristic even when the change in the loading acceleration is performed, and the duration of the loading and unloading is also considered to have an energy change characteristic even when the loading and unloading are actually performed in the field investigation. Therefore, in order to describe the potential energy of the loading rate variation curve, the characteristic parameters are designed: acceleration energy is loaded. The purpose is to calculate the loading acceleration change speed in a short time. Since the data extraction time interval is about 10 seconds, each loading and unloading process is composed of a plurality of loading accelerations, each loading acceleration has energy in the whole identification process,
here, the short-time energy of the loading acceleration of each piece of data is calculated, and then the loading acceleration short-time energy is used as a judgment condition for judging the loading and unloading start and end.
According to the energy equation E ═ C x2In order to measure the speed of loading and unloading goods and accurately position the start and end of loading and unloading goods, a variable E describing energy is establishednOf which EnIs defined as:
wherein h (n) ═ ω (n)2ω (n) is a window function; due to the time-threshold characteristic of the loading acceleration energy, the window here is a square window without using fourier transform.
Loading acceleration zero crossing rate: because factors such as illumination, temperature, humidity, hardware stability and the like have great influence on data acquisition, a plurality of loading accelerations are negative values in the whole loading process by finding out data characteristics; in the unloading process, a plurality of loading accelerations are positive values and change rapidly, and the positive values and the negative values are alternated; to apply this property to the handling point identification, a further identification feature is designed here: loading acceleration zero crossing rate. The loading acceleration zero crossing rate is the number of times of unit time passing through the horizontal axis of the coordinate system, and the calculation formula is as follows:
wherein sgn (x) is a sign function:
the ω (n) function is used to calculate:
due to the fact that data change is fast, the data acquisition terminal is affected by illumination, temperature and humidity, data acquisition is lost, and meanwhile data acquisition is abnormal; the short-time zero-crossing rate of the loading acceleration can be obtained by counting the number of crossing horizontal axes in each 10 seconds and then dividing by the number of sampling points.
(6) "mutation Point" recognition:
data loss exists, loading and unloading can not be known due to data loss, and subdivision can be known; and through the time difference, if the adjacent time difference exceeds 7 hours, the event mutation is considered, and the 'data transmission interruption is directly given, so that the' label cannot be analyzed.
In order to improve the recognition accuracy of the current product and the current function point, help algorithm personnel and rear-end developers to verify the accuracy of warehousing data, understand business requirements and correctly output, the application provides an embodiment of a cargo handling point recognition parameter feature design device for realizing all or part of the contents of the cargo handling point recognition parameter feature design method, and referring to fig. 2, the cargo handling point recognition parameter feature design device specifically comprises the following contents:
the data preparation module 10 is used for extracting the vehicle information of the loaded goods, the loading and unloading time and the loading and unloading rate.
And the process identification module 20 is used for identifying loading and unloading processes and non-loading and unloading processes in the non-mutation points.
And the data labeling module 30 is used for combining the loading acceleration and labeling the data according to the loading acceleration.
And the characteristic parameter identification module 40 is used for identifying the loading acceleration and the catastrophe point.
As can be seen from the above description, the cargo handling point identification parameter feature design device according to the embodiment of the present application can analyze the cargo handling point identification based on the loading acceleration, and can provide a new concept of the loading acceleration according to the loading rate, so as to more quickly identify the loading and unloading start and end points.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (2)
1. A cargo handling point identification parameter feature design method is characterized by comprising the following steps:
extracting data, and providing alternative data matched with the loading and unloading points in the data of the stop points according to the necessary stop of the goods to be loaded and unloaded;
calculating the loading acceleration: load _ at＝(volumet-volumet-1)/[t-(t-1)]；
Preprocessing acceleration data, namely preprocessing the loading acceleration of the mobile window to 0 when the acceleration of the mobile window is less than or equal to 0.035 and is greater than or equal to-0.035 and no loading and unloading event occurs;
load _ a is equal to 0, and the label is marked as a non-loading and unloading stage; load _ a is not equal to 0, and the label is marked as a loading and unloading stage;
tagging data according to loading acceleration: and (3) loading stage: 1; no loading and unloading: 0; and (3) unloading: -1;
calculating the second derivative of the loading acceleration: load _ a2t＝(load_at-load_at-1)/[t-(t-1)]A point equal to zero is a loading trend change point, which represents loading start and loading end;
and designing loading acceleration energy and a loading acceleration zero crossing rate as characteristic parameters to identify the loading acceleration, and identifying the catastrophe points through time difference.
2. A cargo handling point identification parameter characteristic design device is characterized by comprising:
the data preparation module is used for extracting data, providing alternative data matched with the loading and unloading points in the data of the stop points according to the necessary stop of the loaded and unloaded goods;
a process identification module to calculate a loading acceleration: load _ at＝(volumet-volumet-1)/[t-(t-1)]；
The data label module is used for preprocessing acceleration data, taking 100-second acceleration of a moving window as a unit, judging that no loading and unloading event occurs when the acceleration is less than or equal to 0.035 and is greater than or equal to-0.035, preprocessing the loading acceleration to be 0, and labeling a non-loading and unloading stage when the load _ a is 0; load _ a is not equal to 0, and the label is marked as a loading and unloading stage; tagging data according to loading acceleration: and (3) loading stage: 1; no loading and unloading: 0; and (3) unloading: -1; calculating the second derivative of the loading acceleration: load _ a2t＝(load_at-load_at-1)/[t-(t-1)]A point equal to zero is a loading trend change point, which represents loading start and loading end;
and the characteristic parameter identification module is used for designing loading acceleration energy and a loading acceleration zero crossing rate as characteristic parameters to identify the loading acceleration and identifying a catastrophe point through a time difference.
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