CN116045789A - Real-time monitoring method for displacement of goods in cold chain transportation - Google Patents
Real-time monitoring method for displacement of goods in cold chain transportation Download PDFInfo
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- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention relates to the technical field of logistics monitoring, and provides a real-time monitoring method for the displacement of goods in cold chain transportation. The method can monitor the abnormal condition of the cold chain logistics vehicle during transportation, effectively screen out the abnormal displacement by judging the change condition of the displacement, greatly improve the monitoring speed, reduce the operation pressure of the cloud server, ensure the transportation safety of the cold chain, improve the overall efficiency of the cold chain during transportation, and maximally control the low temperature of the cold chain goods.
Description
Technical Field
The invention relates to the field of logistics monitoring, in particular to a real-time monitoring method for the displacement of goods in cold chain transportation.
Background
With the development of new retail models, the cold chain transportation demands are vigorous, technologies such as the Internet of things, the blockchain, the intelligent temperature control and the like are widely applied to cold chain logistics service, and due to the increase of consumption upgrading and food demands, the cold chain logistics industry gradually develops to the trend of standardization, networking and standardization in the aspect of fresh electricity suppliers.
The cold chain logistics industry is in a high-speed development stage under the current market demand, and is influenced by business model transformation, and the infrastructure and service quality in the cold chain transportation process are more important. Temperature change is a management core in the cold chain transportation process, when fresh food is out of control in the transportation process, the quality and shelf life of the food can be greatly reduced, and huge loss is caused to cold chain logistics, so that the transportation efficiency and temperature change of the refrigerated food are key in the cold chain transportation process.
The GPS technology is one of important technologies applied to cold chain transportation by the Internet of things, achieves real-time positioning and relevant position information query of a cold chain logistics transportation vehicle and cold chain foods through mobile perception of transported goods, records goods information in real time in the transportation process, timely discovers logistics abnormality, reduces goods loss rate, and synchronously monitors transportation efficiency of goods in cold chain transportation.
Disclosure of Invention
The invention aims to provide a real-time monitoring method for the displacement of goods in cold chain transportation so as to solve one or more technical problems in the prior art and at least provide a beneficial selection or creation condition.
The invention provides a real-time monitoring method for the displacement of goods in cold chain transportation, which comprises the steps of arranging a GPS module in a logistics vehicle, recording the position information of the logistics vehicle through the GPS module, uploading the position information of the logistics vehicle to a cloud server, performing an alternation process on the position information of the logistics vehicle in the cloud server to obtain alternation data, and pushing the alternation data to a logistics information system. The method can monitor the abnormal condition of the cold chain logistics vehicle during transportation, effectively screen out the abnormal displacement by judging the change condition of the displacement, greatly improve the monitoring speed, reduce the operation pressure of the cloud server, ensure the transportation safety of the cold chain, improve the overall efficiency of the cold chain during transportation, and maximally control the low temperature of the cold chain goods.
To achieve the above object, according to an aspect of the present disclosure, there is provided a method of monitoring a displacement amount of goods in cold chain transportation in real time, the method comprising the steps of:
s100, arranging a GPS module in the logistics vehicle, and recording the position information of the logistics vehicle through the GPS module;
s200, uploading position information of the logistics vehicle to a cloud server;
s300, carrying out alternation processing on position information of the logistics vehicle in the cloud server to obtain alternation data;
s400, pushing the overlapped data to the logistics information system.
Further, in step S100, the method for recording the position information of the logistics vehicle by using the GPS module specifically includes: the position information of the logistics vehicle is collected through the GPS module at intervals of T, the position information of the logistics vehicle comprises longitude and latitude coordinates where the logistics vehicle is currently located and current collection time (time for collecting the current position information of the logistics vehicle in a time-division second mode), and the T is set to be 1,3 seconds.
Further, in step S200, the cloud server communicates with the GPS module wirelessly, and the GPS module encrypts the recorded position information of the logistics vehicle and sends the encrypted position information to the cloud server.
Further, in step S300, the method for performing the process of changing the position information of the logistics vehicle in the cloud server to obtain the changed data includes:
s301, decrypting the position information of the logistics vehicles in the cloud server, creating an array TGA, and storing the decrypted position information of the logistics vehicles to obtain the TGA i Representing the ith element in the array TGA, TGA i =[Loc i ,Time i ]Wherein Loc i Representing longitude and latitude coordinates and Time of logistics vehicle at ith moment i Representing acquisition Loc i Time of acquisition (time-division-second format), i=1, 2, …, N, n=3600×tl (1 hour=3600 seconds), TL representing cryogenic product in the logistics vehicleMaximum transport time limit (TL is set to 72 hours if a cryogenic product needs to reach the destination within 72 hours), create an array as distance array DA, DA j Representing the jth element in the array DA, j=1, 2, …, N-1, go to S302;
s302, initializing integer variable k=1, k ε [1, N-1 ]]Sequentially aiming at DA in the value range of k j Assignment: DA (DA) j =Loc k+1 @Loc k ，j=1,2,…,N-1，Loc k+1 @Loc k Representation Loc k+1 And Loc k Euclidean distance value between; setting elements with element values of zero in the array DA as zero-value elements, creating a blank set Fc, sequentially adding subscript values corresponding to each zero-value element into the set Fc, setting Fc as a fixed-grid set, setting Fc (n) as an nth element in the fixed-grid set, and setting n=1, 2, …, M and M as the number of all elements in the fixed-grid set, and turning to S303;
s303, when the elements in the freeze set are not empty, M blank arrays SA are created 1 ,SA 2 ,…,SA M ；
S304, initializing integer variable r=1, r E [1, M-1 ]]TGA in array TGA 1 、TGA 1 To TGA Fc(r) All elements in the TGA Fc(r) Sequentially adding all the data into an array SA r In the process, go to S305;
s305, TGA in the array TGA Fc(r+1) 、TGA Fc(r+1) To TGA Fc(r+2) All elements in the TGA Fc(r+2) Sequentially adding all the data into an array SA r+1 In, go to S306;
s306, when the value of the variable r is smaller than M-1, increasing the value of r by 1, and turning to S305; when the value of the variable r is greater than M-1, go to S307;
s307, TGA in the array TGA M-1 、TGA M-1 To TGA Fc(M) All elements in the TGA Fc(M) Sequentially adding all the data into an array SA M In, go to S308;
s308, setting an integer variable r1=1, r epsilon [1, M]Record group SA r1 Screening out the freeze-grid elements in the precursor array for the precursor array, and performing manifold judgment on the freeze-grid elements in the precursor arrayTo determine whether the freeze element is abnormal, marking the abnormal freeze element as the overlapped data, and going to S309;
s309, when the value of the variable r1 is less than or equal to M, increasing the value of r1 by 1, and going to S308; when the value of the variable r1 is greater than M, go to S310;
s310, when the elements in the freeze set are empty, the memory array TGA is used as a precursor array, freeze elements in the precursor array are screened out, the freeze elements in the precursor array are subjected to manifold judgment to judge whether the freeze elements are abnormal, and the abnormal freeze elements are marked as overlapped data.
The beneficial effects of this step are: in cold chain transportation, there are multiple factors to influence the transportation efficiency of commodity circulation car, the state of commodity circulation car in current period can influence the state of next stage, obtain the displacement of commodity circulation car through calculating the longitude and latitude coordinate of commodity circulation car, use every second as interval and keep recording displacement data, when the commodity circulation car takes place the accident, its displacement can appear unusual in the data, therefore through constructing precursor array, carry out the disambiguation to unusual displacement and judge, thereby can be used for the dynamic screening out the place and the time of commodity circulation car emergence accident through the change data of intelligent identification, guarantee the safety of cold chain transportation, improve transportation efficiency.
Further, in step S308, the method for screening the freeze elements in the precursor array is as follows: recording the total element number in the precursor array as L, creating a blank array DA1 to store all locs in the precursor array t ，Loc t Represents the t element (namely longitude and latitude coordinates of a logistics vehicle) in the first column of elements in the precursor array, t=1, 2, …, L and is denoted as DA1 j1 For the j1 st element of the array DA1, j1=1, 2, …, L, a blank array DA2 is created, DA2 j2 Represents the j2 nd element in the array DA2, j2 = 1,2, …, L-1, note DA2 j2 = DA j1+1 @DA j1 ，DA j1+1 @DA j1 Representing DA j1+1 And DA (DA) j1 The Euclidean distance value between the two elements is recorded as Y in any element in the data group DA2, the former element of the Y is recorded as X, the latter element of the Y is recorded as Z, and when Y meets the condition (Y-X) X (Z-Y)<And when 0, marking Y as a stop motion element.
Further, the method for judging whether the lattice element is abnormal by carrying out the manifold judgment on the lattice element in the precursor array specifically comprises the following steps: when the stop-motion element meets displacement delimitation, the stop-motion element is recorded as an abnormal stop-motion element, and the displacement delimitation is as follows:
wherein MA is the value of the element with the largest value in the array DA, mA is the value of the element with the smallest value in the array DA,
for the mean value of all elements in the set Fc, Y is the set element, ++>
=ave { DA }/ave { DA2}, ave { } means taking the average value of all elements in the set, q is the value of the element with the largest value in the freeze set Fc, and ln means taking the logarithm operation.
The beneficial effects of this step are: when the logistics vehicle is abnormal, the abnormal displacement is often expressed in the form of wave crests or wave troughs in a large amount of displacement data, and meanwhile, the displacement data of the logistics vehicle is recorded in real time at intervals of every second to cause larger operation pressure on a server, so that the grid elements are obtained through further screening in the precursor array, abnormal data points are accurately screened out by utilizing displacement delimitation in all the grid elements, the condition of defining abnormal points by mistake can be avoided, the abnormal cost is reduced, the screening of abnormal values can be accelerated, and the calculation speed of the cloud server is effectively improved.
When the cold chain transport vehicle is in a weak GPS signal environment, such as a tunnel or a viaduct, deviation can occur in the longitude and latitude positions acquired by the GPS module, the deviation is represented as an obvious wrong abnormal value in a data form, the wrong data is calculated or written into a safety log, so that not only can the waste of calculation force be caused, but also the difficulty of abnormality investigation can be increased, the problem is solved, the speed of the alternation process is increased, and the method for judging whether the lattice elements are abnormal or not by carrying out the disambiguation judgment on the lattice elements in the precursor array can also be as follows:
when the stop-motion element meets the following formula, the stop-motion element is marked as an abnormal stop-motion element,
wherein MA is the value of the element with the largest value in the array DA,
for the mean value of all elements in the set Fc, Y is the set element, ++>
=ave { DA }/ave { DA2}, ave { } means taking the average value of all elements in the set, q is the value of the element with the largest value in the freeze set Fc, arctan () means inverse trigonometric function operation, j3 is the accumulation variable, MDA2 is the value of the element with the largest value in the array DA2, DA2 j3 For the j3 rd element in the array DA2, j3=1, 2, …, L-1, ln represents a logarithmic operation.
The beneficial effects of this step are: by adjusting the critical value of displacement delimitation, the judgment condition of the manifold judgment is changed, the abnormal range of the displacement is reduced, unmatched displacement data can be filtered, longitude and latitude coordinate data and occurrence time data of accidents with higher probability are reserved, and real-time feedback of monitoring of the displacement of the cold chain logistics vehicle is accelerated while the calculation power consumption of a cloud server is reduced.
Further, in step S400, the specific method for pushing the updated data to the logistics information system is as follows: encrypting the alternate data in the cloud server in an asymmetric encryption mode, sending the encrypted alternate data to the logistics information system through the cloud server, decrypting the encrypted alternate data in the logistics information system to obtain decrypted alternate data, and storing a first column element (namely longitude and latitude coordinates of a logistics vehicle) and a second column element (namely acquisition time when acquiring the longitude and latitude coordinates of the logistics vehicle) in the decrypted alternate data into a security log.
The present disclosure also provides a real-time monitoring system for the displacement of goods during cold chain transportation, the real-time monitoring system for the displacement of goods during cold chain transportation includes: the method comprises the steps of a method for monitoring the displacement of goods in cold chain transportation in real time, wherein the system for monitoring the displacement of the goods in cold chain transportation in real time can be operated in a computing device such as a desktop computer, a notebook computer, a mobile phone, a portable phone, a tablet computer, a palm computer and a cloud data center, and the operable system can comprise, but is not limited to, a processor, a memory and a server cluster, and the processor executes the computer program to operate in the following units:
the information recording unit is used for recording the position information of the logistics vehicle through the GPS module;
the information uploading unit is used for uploading the position information of the logistics vehicle to the cloud server;
the information processing unit is used for carrying out the alternation processing on the position information of the logistics vehicle in the cloud server to obtain alternation data;
and the information pushing unit is used for pushing the overlapped data to the logistics information system.
The beneficial effects of the invention are as follows: the method can monitor the abnormal condition of the cold chain logistics vehicle during transportation, and can dynamically screen out the abnormal displacement by judging the change condition of the displacement and by intelligently identifying the replacement data, so that the monitoring speed can be greatly improved, the operation pressure of the cloud server is reduced, the transportation safety of the cold chain can be ensured, the overall efficiency of the cold chain during transportation is improved, and the low temperature of the cold chain goods is controlled to the maximum extent.
Drawings
The above and other features of the present disclosure will become more apparent from the detailed description of the embodiments illustrated in the accompanying drawings, in which like reference numerals designate like or similar elements, and which, as will be apparent to those of ordinary skill in the art, are merely some examples of the present disclosure, from which other drawings may be made without inventive effort, wherein:
FIG. 1 is a flow chart of a method for monitoring displacement of goods in real time during cold chain transportation;
fig. 2 is a system structure diagram of a real-time monitoring system for the displacement of goods during cold chain transportation.
Detailed Description
The conception, specific structure, and technical effects produced by the present disclosure will be clearly and completely described below in connection with the embodiments and the drawings to fully understand the objects, aspects, and effects of the present disclosure. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
In the description of the present invention, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
Fig. 1 is a flowchart of a method for monitoring displacement of goods during cold chain transportation according to the present invention, and a method for monitoring displacement of goods during cold chain transportation according to an embodiment of the present invention is described below with reference to fig. 1.
The disclosure provides a method for monitoring the displacement of goods in cold chain transportation in real time, which comprises the following steps:
s100, arranging a GPS module in the logistics vehicle, and recording the position information of the logistics vehicle through the GPS module;
s200, uploading position information of the logistics vehicle to a cloud server;
s300, carrying out alternation processing on position information of the logistics vehicle in the cloud server to obtain alternation data;
s400, pushing the overlapped data to the logistics information system.
Further, in step S100, the method for recording the position information of the logistics vehicle by using the GPS module specifically includes: the position information of the logistics vehicle is collected through the GPS module at intervals of T, the position information of the logistics vehicle comprises longitude and latitude coordinates where the logistics vehicle is currently located and current collection time (time for collecting the current position information of the logistics vehicle in a time-division second mode), and the T is set to be 1,3 seconds.
Further, in step S200, the cloud server communicates with the GPS module wirelessly, and the GPS module encrypts the recorded position information of the logistics vehicle and sends the encrypted position information to the cloud server.
Further, in step S300, the method for performing the process of changing the position information of the logistics vehicle in the cloud server to obtain the changed data includes:
s301, decrypting the position information of the logistics vehicles in the cloud server, creating an array TGA, and storing the decrypted position information of the logistics vehicles to obtain the TGA i Representing the ith element in the array TGA, TGA i =[Loc i ,Time i ]Wherein Loc i Representing longitude and latitude coordinates and Time of logistics vehicle at ith moment i Representing acquisition Loc i Time acquisition (time-division-second format), i=1, 2, …, N, n=3600×tl (1 hour=3600 seconds), TL representing maximum limit of transportation time of cryogenic products in the logistics vehicle (if a cryogenic product needs to reach the destination within 72 hours, TL is set to 72 hours), a set is created as distance array DA, DA j Representing the jth element in the array DA, j=1, 2, …, N-1, go to S302;
s302, initializing integer variable k=1, k ε [1, N-1 ]]Traversing the value range of k to k, and sequentially aiming at DA j Assignment, DA j =Loc k+1 @Loc k ，j=1,2,…,N-1，Loc k+1 @Loc k Representation Loc k+1 And Loc k Euclidean distance value between; the elements with the element values of zero in the array DA are marked as zero-value elements, a blank set Fc is created, the subscript value corresponding to each zero-value element is added into the set Fc in sequence, the Fc is marked as a stop-motion set,recording Fc (n) as the nth element in the freeze set, n=1, 2, …, M as the number of all elements in the freeze set, and turning to S303;
s303, when the elements in the freeze set are not empty, M blank arrays SA are created 1 ,SA 2 ,…,SA M ；
S304, initializing integer variable r=1, r E [1, M-1 ]]TGA in array TGA 1 、TGA 1 To TGA Fc(r) All elements in the TGA Fc(r) Sequentially adding all the data into an array SA r In the process, go to S305;
s305, TGA in the array TGA Fc(r+1) 、TGA Fc(r+1) To TGA Fc(r+2) All elements in the TGA Fc(r+2) Sequentially adding all the data into an array SA r+1 In, go to S306;
s306, when the value of the variable r is smaller than M-1, increasing the value of r by 1, and turning to S305; when the value of the variable r is greater than M-1, go to S307;
s307, TGA in the array TGA M-1 、TGA M-1 To TGA Fc(M) All elements in the TGA Fc(M) Sequentially adding all the data into an array SA M In, go to S308;
s308, setting an integer variable r1=1, r epsilon [1, M]Record group SA r1 Screening out the grid elements in the precursor array for the precursor array, performing manifold judgment on the grid elements in the precursor array to judge whether the grid elements are abnormal, marking the abnormal grid elements as overlapping data, and turning to S309;
s309, when the value of the variable r1 is less than or equal to M, increasing the value of r1 by 1, and going to S308; when the value of the variable r1 is greater than M, go to S310;
s310, when the elements in the freeze set are empty, the memory array TGA is used as a precursor array, freeze elements in the precursor array are screened out, the freeze elements in the precursor array are subjected to manifold judgment to judge whether the freeze elements are abnormal, and the abnormal freeze elements are marked as overlapped data.
Further, in step S308, the method for screening the freeze elements in the precursor array is as follows: recording the total element number in the precursor array as L and creating a blank arrayDA1 stores all locs in the precursor array t ，Loc t Represents the t element (namely longitude and latitude coordinates of a logistics vehicle) in the first column of elements in the precursor array, t=1, 2, …, L and is denoted as DA1 j1 For the j1 st element of the array DA1, j1=1, 2, …, L, a blank array DA2 is created, DA2 j2 Represents the j2 nd element in the array DA2, j2 = 1,2, …, L-1, note DA2 j2 = DA j1+1 @DA j1 ，DA j1+1 @DA j1 Representing DA j1+1 And DA (DA) j1 The Euclidean distance value between the two elements is recorded as Y by recording any element of the array DA2 as X by recording the former element of the Y as X and recording the latter element of the Y as Z, when Y meets the condition (Y-X) X (Z-Y)<When 0, marking Y as a stop motion element;
the method for judging whether the lattice elements are abnormal by carrying out the manifold judgment on the lattice elements in the precursor array specifically comprises the following steps: when the stop-motion element meets displacement delimitation, the stop-motion element is recorded as an abnormal stop-motion element, and the displacement delimitation is as follows:
wherein MA is the value of the element with the largest value in the array DA, mA is the value of the element with the smallest value in the array DA,
for the mean value of all elements in the set Fc, Y is the set element, ++>
=ave { DA }/ave { DA2}, ave { } means taking the average value of all elements in the set, q is the value of the element with the largest value in the freeze set Fc, and ln means taking the logarithm operation.
When the cold chain transport vehicle is in a weak GPS signal environment, such as a tunnel or a viaduct, deviation can occur in the longitude and latitude positions acquired by the GPS module, the deviation is represented as an obvious wrong abnormal value in a data form, the wrong data is calculated or written into a safety log, so that not only can the waste of calculation force be caused, but also the difficulty of abnormality investigation can be increased, the problem is solved, the speed of the alternation process is increased, and the method for judging whether the lattice elements are abnormal or not by carrying out the disambiguation judgment on the lattice elements in the precursor array can also be as follows:
when the stop-motion element meets the following formula, the stop-motion element is marked as an abnormal stop-motion element,
wherein MA is the value of the element with the largest value in the array DA,
for the mean value of all elements in the set Fc, Y is the set element, ++>
=ave { DA }/ave { DA2}, ave { } means taking the average value of all elements in the set, q is the value of the element with the largest value in the freeze set Fc, arctan () means inverse trigonometric function operation, j3 is the accumulation variable, MDA2 is the value of the element with the largest value in the array DA2, DA2 j3 For the j3 rd element in the array DA2, j3=1, 2, …, L-1, ln represents a logarithmic operation.
Further, in step S400, the specific method for pushing the updated data to the logistics information system is as follows: encrypting the alternate data in the cloud server in an asymmetric encryption mode, sending the encrypted alternate data to the logistics information system through the cloud server, decrypting the encrypted alternate data in the logistics information system to obtain decrypted alternate data, and storing a first column element (namely longitude and latitude coordinates of a logistics vehicle) and a second column element (namely acquisition time when acquiring the longitude and latitude coordinates of the logistics vehicle) in the decrypted alternate data into a security log.
The real-time monitoring system for the displacement of the goods in the cold chain transportation process comprises: the method for monitoring the displacement of the goods in the cold chain transportation in real time comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps in the embodiment of the method for monitoring the displacement of the goods in the cold chain transportation in real time, the system for monitoring the displacement of the goods in the cold chain transportation in real time can be run in a computing device such as a desktop computer, a notebook computer, a mobile phone, a portable phone, a tablet computer, a palm computer and a cloud data center, and the system capable of running can comprise, but is not limited to, the processor, the memory and a server cluster.
The embodiment of the disclosure provides a real-time monitoring system for displacement of goods during cold chain transportation, as shown in fig. 2, the real-time monitoring system for displacement of goods during cold chain transportation of the embodiment includes: the method comprises the steps of the embodiment of the method for monitoring the displacement of the goods in the cold chain transportation in real time, wherein the computer program is stored in the memory and can be run on the processor, and the steps of the embodiment of the method for monitoring the displacement of the goods in the cold chain transportation are realized when the computer program is executed by the processor, and the computer program is executed by the processor and is run in the units of the following system:
the information recording unit is used for recording the position information of the logistics vehicle through the GPS module;
the information uploading unit is used for uploading the position information of the logistics vehicle to the cloud server;
the information processing unit is used for carrying out the alternation processing on the position information of the logistics vehicle in the cloud server to obtain alternation data;
and the information pushing unit is used for pushing the overlapped data to the logistics information system.
The real-time monitoring system for the displacement of the goods in the cold chain transportation process can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud data center and the like. The real-time monitoring system for the displacement of the goods in the cold chain transportation process comprises, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the example is merely an example of a method and a system for monitoring displacement of goods in cold chain transportation in real time, and the method and the system for monitoring displacement of goods in cold chain transportation in real time are not limited thereto, and may include more or less components than examples, or may combine some components, or different components, for example, the system for monitoring displacement of goods in cold chain transportation in real time may further include an input/output device, a network access device, a bus, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete component gate or transistor logic devices, discrete hardware components, or the like. The general processor can be a microprocessor or any conventional processor, and the processor is a control center of the real-time monitoring system for the displacement of the goods during the cold chain transportation, and various interfaces and lines are used for connecting various subareas of the whole real-time monitoring system for the displacement of the goods during the cold chain transportation.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the method and the system for monitoring the displacement of the goods in the cold chain transportation in real time by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The invention provides a real-time monitoring method for the displacement of goods in cold chain transportation, which comprises the steps of arranging a GPS module in a logistics vehicle, recording the position information of the logistics vehicle through the GPS module, uploading the position information of the logistics vehicle to a cloud server, performing an alternation process on the position information of the logistics vehicle in the cloud server to obtain alternation data, and pushing the alternation data to a logistics information system. The method can monitor the abnormal condition of the cold chain logistics vehicle during transportation, effectively screen out the abnormal displacement by judging the change condition of the displacement, greatly improve the monitoring speed, reduce the operation pressure of the cloud server, ensure the transportation safety of the cold chain, improve the overall efficiency of the cold chain during transportation, and maximally control the low temperature of the cold chain goods. Although the description of the present disclosure has been illustrated in considerable detail and with particularity, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the present disclosure. Furthermore, the foregoing description of the present disclosure has been presented in terms of embodiments foreseen by the inventor for the purpose of providing a enabling description for enabling the enabling description to be available, notwithstanding that insubstantial changes in the disclosure, not presently foreseen, may nonetheless represent equivalents thereto.
Claims (7)
1. The method for monitoring the displacement of the goods in the cold chain transportation in real time is characterized by comprising the following steps of:
s100, arranging a GPS module in the logistics vehicle, and recording the position information of the logistics vehicle through the GPS module;
s200, uploading position information of the logistics vehicle to a cloud server;
s300, carrying out alternation processing on position information of the logistics vehicle in the cloud server to obtain alternation data;
s400, pushing the overlapped data to the logistics information system.
2. The method for monitoring the displacement of goods in cold chain transportation in real time according to claim 1, wherein in step S100, the method for recording the position information of the logistics vehicle by using the GPS module specifically comprises: the position information of the logistics vehicle is acquired through the GPS module at intervals of time T, and the position information of the logistics vehicle comprises longitude and latitude coordinates where the logistics vehicle is currently located and the current acquisition time.
3. The method for monitoring the displacement of goods in cold chain transportation in real time according to claim 1, wherein in step S200, the cloud server communicates with the GPS module wirelessly, and the GPS module encrypts the recorded position information of the logistics vehicle and transmits the encrypted position information to the cloud server.
4. The method for monitoring the displacement of goods in cold chain transportation in real time according to claim 1, wherein in step S300, the position information of the logistics vehicle is subjected to an alternation process in the cloud server, and the specific method for obtaining the alternation data is as follows:
s301, decrypting the position information of the logistics vehicles in the cloud server, creating an array TGA, and storing the decrypted position information of the logistics vehicles to obtain the TGA i Representing the ith element in the array TGA, TGA i =[Loc i ,Time i ]Wherein Loc i Representing longitude and latitude coordinates and Time of logistics vehicle at ith moment i Representing acquisition Loc i The collection time at time i=1, 2, …, N, n=3600×tl, tl representing the maximum limit of the transport time of the cryogenic product in the logistics vehicle, creating a number set as distance array DA, with DA j Representing the jth element in the array DA, j=1, 2, …, N-1, go to S302;
s302, initializing integer variable k=1, k ε [1, N-1 ]]Sequentially aiming at DA in the value range of k j Assignment: DA (DA) j =Loc k+1 @Loc k ，j=1,2,…,N-1，Loc k+1 @Loc k Representation Loc k+1 And Loc k Euclidean distance value between; setting elements with element values of zero in the array DA as zero-value elements, creating a blank set Fc, sequentially adding subscript values corresponding to each zero-value element into the set Fc, setting Fc as a fixed-grid set, setting Fc (n) as an nth element in the fixed-grid set, and setting n=1, 2, …, M and M as the number of all elements in the fixed-grid set, and turning to S303;
s303, when the elements in the freeze set are not empty, M blank arrays SA are created 1 ,SA 2 ,…,SA M ；
S304, initializing integer changesThe quantity r=1, r.epsilon.1, M-1]TGA in array TGA 1 、TGA 1 To TGA Fc(r) All elements in the TGA Fc(r) Sequentially adding all the data into an array SA r In the process, go to S305;
s305, TGA in the array TGA Fc(r+1) 、TGA Fc(r+1) To TGA Fc(r+2) All elements in the TGA Fc(r+2) Sequentially adding all the data into an array SA r+1 In, go to S306;
s306, when the value of the variable r is smaller than M-1, increasing the value of r by 1, and turning to S305; when the value of the variable r is greater than M-1, go to S307;
s307, TGA in the array TGA M-1 、TGA M-1 To TGA Fc(M) All elements in the TGA Fc(M) Sequentially adding all the data into an array SA M In, go to S308;
s308, setting an integer variable r1=1, r epsilon [1, M]Record group SA r1 Screening out the grid elements in the precursor array for the precursor array, performing manifold judgment on the grid elements in the precursor array to judge whether the grid elements are abnormal, marking the abnormal grid elements as overlapping data, and turning to S309;
s309, when the value of the variable r1 is less than or equal to M, increasing the value of r1 by 1, and going to S308; when the value of the variable r1 is greater than M, go to S310;
s310, when the elements in the freeze set are empty, the memory array TGA is used as a precursor array, freeze elements in the precursor array are screened out, the freeze elements in the precursor array are subjected to manifold judgment to judge whether the freeze elements are abnormal, and the abnormal freeze elements are marked as overlapped data.
5. The method for monitoring the displacement of cargoes in cold chain transportation in real time according to claim 4, wherein in step S300, the method for screening out the freeze elements in the precursor array is as follows: recording the total element number in the precursor array as L, creating a blank array DA1 to store all locs in the precursor array t ，Loc t Represents the t element in the first column of elements in the precursor array, t=1, 2, …, L, note DA1 j1 Is an array DThe j1 st element of A1, j1=1, 2, …, L creates a blank array DA2, DA2 j2 Represents the j2 nd element in the array DA2, j2 = 1,2, …, L-1, note DA2 j2 = DA j1+1 @DA j1 ，DA j1+1 @DA j1 Representing DA j1+1 And DA (DA) j1 The Euclidean distance value between the two elements is recorded as Y by recording any element of the array DA2 as X by recording the former element of the Y as X and recording the latter element of the Y as Z, when Y meets the condition (Y-X) X (Z-Y)<And when 0, marking Y as a stop motion element.
6. The method for monitoring the displacement of goods in cold chain transportation in real time according to claim 4, wherein the method for judging the abnormality of the grid elements by performing the manifold judgment on the grid elements in the precursor array is specifically as follows: when the stop-motion element meets displacement delimitation, the stop-motion element is recorded as an abnormal stop-motion element, and the displacement delimitation is as follows:
wherein MA is the value of the element with the largest value in the array DA, mA is the value of the element with the smallest value in the array DA,
for the mean value of all elements in the set Fc, Y is the set element, ++>
=ave { DA }/ave { DA2}, ave { } means taking the average value of all elements in the set, q is the value of the element with the largest value in the freeze set Fc, and ln means taking the logarithm operation.
7. The method for monitoring the displacement of goods during cold chain transportation in real time according to claim 1, wherein the specific method for pushing the updated data to the logistics information system in step S400 is as follows: encrypting the alternate data in the cloud server in an asymmetric encryption mode, sending the encrypted alternate data to the logistics information system through the cloud server, decrypting the encrypted alternate data in the logistics information system to obtain decrypted alternate data, and storing a first column element and a second column element in the decrypted alternate data into a security log.
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