CN114648277A - Sampling-free direct-entry logistics monitoring method and device, electronic equipment and storage medium - Google Patents
Sampling-free direct-entry logistics monitoring method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a sampling-free direct-entry logistics monitoring method, a sampling-free direct-entry logistics monitoring device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring track information of an entering vehicle and standard track information corresponding to the track information; calculating the coincidence rate of the track information and the standard track information; acquiring parking parameters, total running time and offset information of an entering vehicle; the method comprises the steps of obtaining a first off-line time length, a second off-line time length and the abnormal positioning times of a positioning device in an entering vehicle, respectively judging whether the parameters meet preset conditions, and determining whether the entering vehicle directly enters the entering vehicle without sampling based on a judgment result. By the aid of the mode, sampling detection is not needed to be carried out on each vehicle entering the field, detection efficiency of the vehicles entering the field is greatly improved, and accordingly vehicle transportation turnover efficiency is improved.
Description
Technical Field
The application relates to the field of logistics monitoring, in particular to a sampling-free logistics monitoring method and device, electronic equipment and a storage medium.
Background
At present, the vehicles entering the field need to be sampled and checked so as to ensure that the vehicles entering the field meet the regulations. This approach, however, greatly reduces vehicle transport turnover efficiency.
Disclosure of Invention
The application aims to provide a sampling-free logistics monitoring method and device for direct entry, electronic equipment and a storage medium, and the efficiency of vehicle detection can be improved, so that the transportation turnover efficiency of vehicles is improved.
In order to achieve the above purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, an embodiment of the present application provides a sampling-free direct entry logistics monitoring method, where the method includes:
acquiring track information of an entering vehicle and standard track information corresponding to the track information;
calculating the coincidence rate of the track information and the standard track information;
determining whether the coincidence rate meets a first preset condition;
acquiring parking parameters, total running time and offset information of the entering vehicle, wherein the offset information is the offset of the track information relative to the standard track information;
determining whether the parking parameters meet a second preset condition, whether the total running time meets a third preset condition and whether the offset information meets a fourth preset condition;
acquiring a first offline time length, a second offline time length and abnormal positioning times of a positioning device in the entering vehicle, wherein the first offline time length is the offline time length after the positioning device is directly disconnected, the second offline time length is the offline time length of the positioning device caused by the fact that the vehicle stops, and the abnormal positioning indicates that the positioning information of the positioning device is wrong;
determining whether the first off-line time length meets a fifth preset condition, whether the second off-line time length meets a sixth preset condition and whether the abnormal positioning times of the positioning device meet a seventh preset condition;
and determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
In an optional embodiment, the standard trajectory information is preset trajectory information, and the step of obtaining the trajectory information of the entering vehicle and the standard trajectory information corresponding to the trajectory information includes:
calling a Beidou positioning system of the entering vehicle to acquire a plurality of position information of the entering vehicle at different times in the running process in the Beidou positioning system;
processing each position information based on the sequence of time to obtain the track information of the vehicles entering the field;
determining preset standard track information corresponding to the track information based on the track information;
the step of determining whether the coincidence rate meets a first preset condition includes:
comparing the coincidence rate with a preset coincidence rate;
and determining that the coincidence rate meets a first preset condition when the coincidence rate is greater than or equal to the preset coincidence rate.
In an optional embodiment, the step of obtaining the parking parameter of the incoming vehicle includes:
acquiring the speed of the incoming vehicle in real time;
when the vehicle speed is less than or equal to a preset vehicle speed, determining that the vehicle entering the parking lot is in a parking state;
determining a first parking duration when the incoming vehicle is in the parking state;
the step of determining whether the parking parameter satisfies a second preset condition includes:
comparing the first parking duration with a first preset duration;
and under the condition that the first parking duration is less than or equal to a first preset duration, determining that the parking parameters meet a second preset condition.
In an alternative embodiment, the step of obtaining the parking parameters of the vehicle entering the parking lot includes:
determining the parking times of the vehicles entering the parking lot and a second parking time length of each parking;
determining the total parking time length of the vehicle entering the parking lot based on the second parking time length of each parking;
determining the total parking time or the parking times as parking parameters of the vehicles entering the field;
the step of determining whether the parking parameter satisfies a second preset condition includes:
comparing the total parking time with a second preset time;
determining that the parking parameters meet a second preset condition under the condition that the total parking duration is less than or equal to a second preset duration;
alternatively, the first and second electrodes may be,
comparing the parking times with preset parking times;
and determining that the parking parameters meet a second preset condition under the condition that the parking times are less than or equal to the preset parking times.
In an alternative embodiment, the step of determining whether the total travel time period satisfies a third preset condition includes:
comparing the total running time length with a third preset time length;
and under the condition that the total running time is less than or equal to the third preset time, determining that the total running time meets a third preset condition.
In an optional embodiment, the step of obtaining the offset information of the entering vehicle includes:
acquiring the position information of the vehicles entering the field in real time;
determining a target position corresponding to the position information on the standard track information;
calculating a first distance between the target position and the position information;
determining a distance traveled by the incoming vehicle based on the distance;
determining the first distance and the driving distance as the offset information of the entering vehicle;
the step of determining whether the offset information satisfies a fourth preset condition includes:
comparing the first distance with a first preset distance;
determining that the offset information meets a fourth preset condition under the condition that the first distance is smaller than or equal to a first preset distance;
or;
comparing the driving distance with a second preset distance under the condition that the first distance is greater than or equal to a first preset distance;
and determining that the deviation information of the track information meets a fourth preset condition under the condition that the driving distance is smaller than or equal to the second preset distance.
In an optional embodiment, the step of determining whether the first offline time length meets a fifth preset condition, whether the second offline time length meets a sixth preset condition, and whether the number of times of positioning abnormality of the positioning device meets a seventh preset condition includes:
comparing the first off-line time length with a fourth preset time length;
determining that the first offline time length meets a fifth preset condition under the condition that the first offline time length is less than or equal to the fourth preset time length;
comparing the second off-line time length with a fifth preset time length;
determining that the second offline time length meets a sixth preset condition under the condition that the second offline time length is less than or equal to a fifth preset time length;
comparing the positioning abnormity times with preset abnormity times;
and determining that the positioning abnormal times of the positioning device meet a seventh preset condition under the condition that the abnormal times are less than or equal to the preset abnormal times.
In an optional embodiment, the incoming vehicle includes a vehicle head and a vehicle body, both of which are provided with RFID tags, and the method further includes:
reading first label information of the RFID label of the vehicle head and second label information of the RFID label of the vehicle body;
determining a first original label of a head of the incoming vehicle and a second original label of a body of the incoming vehicle;
comparing first tag information with the first original tag and the second tag information with the second original tag respectively;
if the first tag information is consistent with the first original tag and the second tag information is consistent with the second original tag, executing the step of determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition;
and determining that the vehicle needs to enter the field after sampling under the condition that the first tag information is inconsistent with the first original tag or the second tag information is consistent with the second original tag.
In an optional embodiment, the step of determining whether the entering vehicle enters directly without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition includes:
under the condition that the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition are all met, the fact that the vehicle entering the field is directly entered in a sampling-free mode is determined;
and under the condition that any one of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition is not satisfied, determining that the vehicle needs to enter the field after sampling.
In a second aspect, an embodiment of the present application provides a sampling-free logistics monitoring apparatus directly entering a field, the apparatus includes: a determining module and a processing module;
the determining module is used for acquiring track information of an entering vehicle and standard track information corresponding to the track information;
the processing module is used for calculating the coincidence rate of the track information and the standard track information;
the determining module is used for determining whether the coincidence rate meets a first preset condition;
the determining module is used for acquiring parking parameters, total running time and offset information of the entering vehicle, wherein the offset information is offset of the track information relative to the standard track information;
the determining module is used for determining whether the parking parameters meet a second preset condition, whether the total running time meets a third preset condition and whether the offset information meets a fourth preset condition, wherein the second preset condition is met;
the determining module is configured to obtain a first offline duration and a second offline duration of a positioning device in the incoming vehicle, and a positioning abnormality frequency of the positioning device, where the first offline duration is an offline duration after the positioning device is directly disconnected, the second offline duration is an offline duration of the positioning device caused by vehicle parking, and the positioning abnormality indicates that positioning information of the positioning device is wrong;
the determining module is configured to determine whether the first offline time length meets a fifth preset condition, whether the second offline time length meets a sixth preset condition, and whether the number of positioning abnormality times of the positioning device meets a seventh preset condition;
the determining module is used for determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the sampling-free direct entry logistics monitoring method when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the sampling-free direct entry logistics monitoring method.
The application has the following beneficial effects:
the method and the device for judging the vehicle entering the parking lot directly enter the parking lot without sampling by acquiring the track information of the vehicle entering the parking lot, the coincidence rate of the track information and the marked track information, the parking parameters, the total running time, the offset information, the first off-line time and the second off-line time of a positioning device in the vehicle entering the parking lot and judging whether the vehicle entering the parking lot directly enters the parking lot without sampling based on the various information. By the aid of the mode, sampling detection is not needed to be carried out on each vehicle entering the field, detection efficiency of the vehicles entering the field is greatly improved, and accordingly vehicle transportation turnover efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating a sampling-free direct entry logistics monitoring method according to an embodiment of the present application;
fig. 3 is a second flowchart illustrating steps of a sampling-free direct-entry logistics monitoring method according to an embodiment of the present application;
fig. 4 is a block diagram of a sampling-free logistics monitoring apparatus entering directly according to 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. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which the present invention product is usually put into use, it is only for convenience of describing the present application and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and be operated, and thus, should not be construed as limiting the present application.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
In the description of the present application, it is further noted that, unless expressly stated or limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
The embodiment provides an electronic device capable of monitoring logistics in a sampling-free direct-entry mode. In one possible implementation, the electronic Device may be a user terminal, for example, the electronic Device may be, but is not limited to, a server, a smart phone, a Personal Computer (PC), a tablet computer, a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), and the like.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present disclosure. The electronic device 100 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
The electronic device 100 includes a sampling-free direct-entry logistics monitoring apparatus 110, a memory 120, and a processor 130.
The memory 120 and the processor 130 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The sampling-free direct-entry logistics monitoring device 110 includes at least one software function module which can be stored in the memory 120 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the electronic device 100. The processor 130 is used to execute executable modules stored in the memory 120, such as software functional modules and computer programs included in the sampling-free direct entry logistics monitoring apparatus 110.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction.
Referring to fig. 2, fig. 2 is a flowchart illustrating a sampling-free direct-entry logistics monitoring method applied to the electronic device 100 of fig. 1, and the method includes various steps as described in detail below.
Step 201: and acquiring the track information of the entering vehicle and standard track information corresponding to the track information.
Step 202: and calculating the coincidence rate of the track information and the standard track information.
Step 203: and determining whether the coincidence rate meets a first preset condition.
Step 204: and acquiring parking parameters, total running time and offset information of the vehicles entering the field.
Wherein the offset information is an offset of the track information with respect to the standard track information.
Step 205: and determining whether the parking parameters meet a second preset condition, whether the total running time meets a third preset condition and whether the offset information meets a fourth preset condition.
Step 206: the method comprises the steps of obtaining a first off-line time length, a second off-line time length and the abnormal positioning times of a positioning device in an entering vehicle.
The first off-line duration is the off-line duration after the positioning device is directly off-line, the second off-line duration is the off-line duration of the positioning device caused by the fact that the vehicle stops, and positioning information of the positioning device is indicated to be wrong due to positioning abnormity.
Step 207: and determining whether the first off-line time length meets a fifth preset condition, whether the second off-line time length meets a sixth preset condition and whether the abnormal positioning times of the positioning device meet a seventh preset condition.
Step 208: and determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
The Beidou positioning system is installed on the vehicles entering the field, vehicles which cannot collect and position are forbidden to transport imported mines, and positioning tracks of all vehicles entering the field can be guaranteed.
Determining the trajectory information of the incoming vehicle may: calling a Beidou positioning system of an incoming vehicle to acquire a plurality of position information of the incoming vehicle at different times in the running process in the Beidou positioning system; processing each position information based on the time sequence to obtain the track information of the vehicles entering the field; and determining that the track information corresponds to preset standard track information based on the track information.
And comparing the track information of the entering vehicle with the standard track information, namely calculating the coincidence rate of the track information and the standard track information, and determining that the coincidence rate of the track information of the entering vehicle and the standard track information meets a first preset condition when the coincidence rate is greater than or equal to a preset coincidence rate.
The predetermined overlapping ratio may be 70%, 80%, 90%, or the like, and this is not particularly limited in the embodiments of the present application.
Determining parking parameters of the vehicle entering the parking lot, wherein the parking parameters comprise: the parking system comprises a first parking duration when the entering vehicle is in a parking state, parking times of the entering vehicle and a total parking duration of the entering vehicle.
When the parking parameter is the first parking duration of the entering vehicle in the parking state, the speed of the entering vehicle can be obtained in real time; when the vehicle speed is less than or equal to the preset vehicle speed, determining that the vehicle entering the parking lot is in a parking state; and determining a first parking duration for which the incoming vehicle is in a parked state.
And when the first parking duration is less than or equal to a first preset duration, determining that the parking parameters meet a second preset condition.
When the first parking duration is longer than the first preset duration, the single parking duration of the vehicle entering the parking lot is too long, and the situations of exchanging the vehicle head, replacing goods and the like are easy to occur.
It should be noted that the preset vehicle speed may be set to 2.0km/h, 3.0km/h, 4.0km/h, and the like, and the first preset time period may be set to 15min, 20min, 25min, and the like, which is not specifically limited in this embodiment of the application.
When the parking parameter is the parking times of the incoming vehicle, comparing the parking times with the preset parking times; and under the condition that the parking times are less than or equal to the preset parking times, determining that the parking parameters meet a second preset condition. And when the parking times are larger than the preset parking times, judging that the entering vehicle has the risk of illegal operation.
In one example: and when the parking times of the entering vehicle are less than or equal to 50 times, judging that the parking parameters of the entering vehicle meet a second preset condition.
When the parking parameter is the total parking duration of the entry vehicle, the mode of determining the total parking duration of the entry vehicle is as follows: and determining a second parking time length of the vehicle entering the parking lot each time, and adding the second parking time lengths of the vehicles entering the parking lot each time to obtain the total parking time length of the vehicles entering the parking lot. Comparing the total parking time with a second preset time; and under the condition that the total parking time is less than or equal to a second preset time, determining that the parking parameters meet a second preset condition. And under the condition that the total parking time is longer than a second preset time, judging that the entering vehicle has the risk of illegal operation.
It should be noted that the second preset time period may be 100 minutes, 150 minutes, and the like, and the settings of the first preset time period, the second preset time period, and the preset parking times are related to the standard trajectory information. When the length of the standard track information is long, for example: when the standard track information is from Sichuan to Beijing, the set values of the first preset time length, the second preset time length and the preset parking times are larger, and when the standard track information is from Sichuan to Chongqing, the set values of the first preset time length, the second preset time length and the preset parking times are smaller.
And determining the total running time of the vehicles entering the field, comparing the total running time with a third preset time, and determining that the total running time of the vehicles entering the field meets a third preset condition when the total running time is less than or equal to the third preset time.
There are various ways to determine the total length of time of travel of the incoming vehicle, wherein the information of the locating device may be identified based on when the incoming vehicle departs from the starting location, the identified time may be determined as the starting time of the incoming vehicle, the locating device may be identified again after the incoming vehicle reaches the destination, the identified time may be determined as the arrival time of the incoming vehicle, and the total length of time of travel of the incoming vehicle may be determined based on the starting time and the arrival time.
And when the total running time of the entering vehicle is longer than a third preset time, judging that the entering vehicle has the risk of illegal operation.
It should be noted that the third preset time duration is also set in relation to the standard track information, and the longer the length of the standard track information is, the longer the set third preset time duration is, and vice versa.
The method comprises the steps of acquiring first position information of an entering vehicle in real time, determining a target position corresponding to the first position information on standard track information, calculating a first distance between the target position and the first position information, determining a driving distance of the entering vehicle based on the distance, and determining the first distance and the driving distance as offset information of the entering vehicle. Comparing the first distance with a first preset distance; and determining that the offset information meets a fourth preset condition under the condition that the first distance is smaller than or equal to a first preset distance. I.e. the incoming vehicle is not offset with respect to the standard trajectory information.
When the first distance is larger than or equal to a first preset distance, determining that the entering vehicle deviates relative to the standard track information, and comparing the driving distance with a second preset distance; and under the condition that the running distance is smaller than or equal to the second preset distance, determining that the deviation information of the track information meets a fourth preset condition, namely determining that the running of the vehicle entering the field is not abnormal.
The offset information actually reflects whether the entering vehicle runs according to the standard track information, the entering vehicle offsets the standard track information and continuously offsets for a certain distance, and the characteristic that the entering vehicle does not run according to the standard track information in the running process possibly has the risk of goods exchange. When the entering vehicle deviates from the standard track information but the continuously-deviated distance is less than the second preset distance, the entering vehicle is shown to run according to the standard track information basically during the running process, and the risk of exchanging goods does not exist.
The setting of the first preset distance and the second preset distance is not particularly limited in the present application.
The following are exemplary: and when the first distance between the first position information of the entering vehicle and the target position is greater than 500 meters and the continuously-offset driving distance is greater than 100 meters, judging that the offset information of the entering vehicle does not meet a fourth preset condition, and when the first distance between the first position information of the entering vehicle and the target position is less than or equal to 500 meters, or when the first distance between the first position information of the entering vehicle and the target position is greater than or equal to 500 meters and the continuously-offset driving distance is less than 100 meters, judging that the offset information of the entering vehicle meets the fourth preset condition.
Determining the first off-line time length of the positioning device of the entering vehicle after the vehicle directly drops, and comparing the first off-line time length with a fourth preset time length; and under the condition that the first off-line time length is less than or equal to a fourth preset time length, determining that the first off-line time length meets a fifth preset condition. And when the first off-line time length is greater than the fourth preset time length, determining that the first off-line time length does not meet a fifth preset condition.
If the positioning device of the vehicle is directly off-line, the positioning device is closed in the running process of the vehicle, and if the vehicle is not normal in a short time, the vehicle is judged to be abnormal.
Determining a second off-line time length of the positioning device of the entering vehicle, which is caused by the fact that the positioning device is off-line after the vehicle stops, and comparing the second off-line time length with a fifth preset time length; determining that the second offline time length meets a sixth preset condition under the condition that the second offline time length is less than or equal to a fifth preset time length; and under the condition that the second off-line time length is greater than the fifth preset time length, determining that the second off-line time length does not meet a sixth preset condition. And if the parking flameout of the vehicle is judged to be continuous, the second off-line time of the positioning device is longer after the parking flameout of the vehicle is caused, and the vehicle is judged to be abnormal.
When an entering vehicle is in the tunnel, the positioning device cannot work normally, and enters an off-line state, the off-line duration of the positioning device is not judged at the moment, and when the entering vehicle is not in the tunnel, but the positioning device of the entering vehicle is in the off-line state, the off-line duration of the positioning device needs to be judged no matter what reason the positioning device causes off-line at the moment.
And determining the abnormal positioning times of the positioning device of the entering vehicle, wherein the abnormal positioning indicates that the positioning information of the positioning device is wrong, such as a system bug of the positioning device, and the abnormal positioning condition occurs. Comparing the positioning abnormal times with preset abnormal times; and determining that the positioning abnormal times of the positioning device meet a seventh preset condition under the condition that the positioning abnormal times are less than or equal to the preset abnormal times.
And comprehensively judging whether the vehicle can be directly entered without sampling based on the seven factors, and determining that the vehicle can be directly entered without sampling under the conditions that the number of the conditions is the preset number under the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
The following are exemplary: and when the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition, the 5 conditions are met, the 6 conditions are met or the 7 conditions are met, determining that the vehicle is directly entered without sampling. For the setting of the preset number, the embodiment of the present application does not specifically limit this.
And under the condition that any one of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition is not satisfied, determining that the vehicle needs to enter the vehicle after sampling.
In another embodiment of the present application, as shown in fig. 3, a sampling-free direct entry logistics monitoring method is provided, which specifically includes the following steps:
the entrance vehicle comprises a vehicle head and a vehicle body, wherein the vehicle head and the vehicle body are both provided with RFID tags.
Step 301: and reading first label information of the RFID label of the vehicle head and second label information of the RFID label of the vehicle body.
Step 302: a first original tag of a head of an incoming vehicle and a second original tag of a body of the incoming vehicle are determined.
Step 303: and respectively comparing the first label information with the first original label and the second label information with the second original label.
Step 304: and under the condition that the first label information is consistent with the first original label and the second label information is consistent with the second original label, executing a step of determining whether the vehicle is directly entered without sampling based on the judgment results of a first preset condition, a second preset condition, a third preset condition, a fourth preset condition, a fifth preset condition, a sixth preset condition and a seventh preset condition.
Step 305: and under the condition that the first label information is inconsistent with the first original label or the second label information is consistent with the second original label, determining that the vehicle needs to enter the vehicle after sampling.
In order to prevent the entering vehicle from replacing the locomotive in the transportation process and carrying out goods package dropping, the RFID tags installed on the entering vehicle are respectively arranged on the locomotive and the locomotive body and are divided into a tearing-proof tag in the cab and an anti-metal tag on the car hopper, only two tags are simultaneously identified by an RFID remote reader at the initial place and an RFID remote reader at the destination, the information of a first original tag identified initially is consistent with that of a first tag, and when the information of a second original tag identified initially is consistent with that of a second tag, the fact that the locomotive of the entering vehicle is not replaced in the transportation process is judged, and the goods package dropping is not carried out.
And based on the first original tag for identifying the head of the entering vehicle and the second original tag for identifying the body of the entering vehicle, the departure time of the entering vehicle can be determined, before entering, the first tag information of the RFID tag of the head and the second tag information of the RFID tag of the body are read, the arrival time of the entering vehicle can be determined, and therefore the total running time of the entering vehicle can be calculated.
Referring to fig. 4, an embodiment of the present application further provides a sampling-free logistics monitoring apparatus 110 applied to the electronic device 100 shown in fig. 1, where the sampling-free logistics monitoring apparatus 110 includes:
the device comprises: a determination module 111 and a processing module 112;
the determining module 111 is configured to obtain track information of an entering vehicle and standard track information corresponding to the track information;
the processing module 112 is configured to calculate a coincidence rate of the track information and the standard track information;
the determining module 111 is configured to determine whether the coincidence rate meets a first preset condition;
the determining module 111 is configured to obtain a parking parameter, a total driving duration, and offset information of the entering vehicle, where the offset information is an offset of the trajectory information with respect to the standard trajectory information;
the determining module 111 is configured to determine whether the parking parameter meets a second preset condition, whether the total driving duration meets a third preset condition, and whether the offset information meets a fourth preset condition;
the determining module 111 is configured to obtain a first offline duration and a second offline duration of a positioning device in the incoming vehicle, and a number of times of positioning abnormality of the positioning device, where the first offline duration is an offline duration after the positioning device is directly disconnected, the second offline duration is an offline duration of the positioning device due to vehicle parking, and the positioning abnormality indicates that positioning information of the positioning device is wrong;
the determining module 111 is configured to determine whether the first offline time length meets a fifth preset condition, whether the second offline time length meets a sixth preset condition, and whether the number of positioning abnormality times of the positioning device meets a seventh preset condition;
the determining module 111 is configured to determine whether the entering vehicle directly enters the vehicle without sampling based on determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition, and the seventh preset condition.
The present application further provides an electronic device 100, where the electronic device 100 includes a processor 130 and a memory 120. The memory 120 stores computer-executable instructions, and when the computer-executable instructions are executed by the processor 130, the sampling-free direct-entry logistics monitoring method is implemented.
The embodiment of the present application further provides a storage medium, where a computer program is stored, and when the computer program is executed by the processor 130, the sampling-free logistics monitoring method for direct entry is implemented.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A sampling-free direct-entry logistics monitoring method is characterized by comprising the following steps:
acquiring track information of an entering vehicle and standard track information corresponding to the track information;
calculating the coincidence rate of the track information and the standard track information;
determining whether the coincidence rate meets a first preset condition;
acquiring parking parameters, total running time and offset information of the entering vehicle, wherein the offset information is the offset of the track information relative to the standard track information;
determining whether the parking parameters meet a second preset condition, whether the total running time meets a third preset condition and whether the offset information meets a fourth preset condition;
acquiring a first offline time length, a second offline time length and abnormal positioning times of a positioning device in the entering vehicle, wherein the first offline time length is the offline time length after the positioning device is directly disconnected, the second offline time length is the offline time length of the positioning device caused by the fact that the vehicle stops, and the abnormal positioning indicates that the positioning information of the positioning device is wrong;
determining whether the first off-line time length meets a fifth preset condition, whether the second off-line time length meets a sixth preset condition and whether the abnormal positioning times of the positioning device meet a seventh preset condition;
and determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
2. The method according to claim 1, wherein the standard trajectory information is preset trajectory information, and the step of obtaining the trajectory information of the entering vehicle and the standard trajectory information corresponding to the trajectory information includes:
calling a Beidou positioning system of the incoming vehicle to acquire a plurality of position information of the incoming vehicle at different times in the running process in the Beidou positioning system;
processing each position information based on the sequence of time to obtain the track information of the vehicles entering the field;
determining preset standard track information corresponding to the track information based on the track information;
the step of determining whether the coincidence rate meets a first preset condition includes:
comparing the coincidence rate with a preset coincidence rate;
and determining that the coincidence rate meets a first preset condition when the coincidence rate is greater than or equal to the preset coincidence rate.
3. The method of claim 1, wherein the step of obtaining parking parameters for the incoming vehicle comprises:
acquiring the speed of the incoming vehicle in real time;
when the vehicle speed is less than or equal to a preset vehicle speed, determining that the vehicle entering the parking lot is in a parking state;
determining a first parking duration of the incoming vehicle in the parking state;
the step of determining whether the parking parameter satisfies a second preset condition includes:
comparing the first parking duration with a first preset duration;
and under the condition that the first parking duration is less than or equal to a first preset duration, determining that the parking parameters meet a second preset condition.
4. The method of claim 1, wherein the step of obtaining parking parameters for the incoming vehicle comprises:
determining the parking times of the vehicles entering the parking lot and a second parking time length of each parking;
determining the total parking time length of the vehicle entering the parking lot based on the second parking time length of each parking;
determining the total parking time or the parking times as parking parameters of the vehicles entering the field;
the step of determining whether the parking parameter satisfies a second preset condition includes:
comparing the total parking time with a second preset time;
determining that the parking parameters meet a second preset condition under the condition that the total parking duration is less than or equal to a second preset duration;
alternatively, the first and second electrodes may be,
comparing the parking times with preset parking times;
and determining that the parking parameters meet a second preset condition under the condition that the parking times are less than or equal to the preset parking times.
5. The method according to claim 1, wherein the step of determining whether the total travel time period satisfies a third preset condition comprises:
comparing the total running time length with a third preset time length;
and under the condition that the total running time is less than or equal to the third preset time, determining that the total running time meets a third preset condition.
6. The method of claim 1, wherein the step of obtaining the offset information of the incoming vehicle comprises:
acquiring the position information of the vehicles entering the field in real time;
determining a target position corresponding to the position information on the standard track information;
calculating a first distance between the target position and the position information;
determining a distance traveled by the incoming vehicle based on the distance;
determining the first distance and the driving distance as the offset information of the entering vehicle;
the step of determining whether the offset information satisfies a fourth preset condition includes:
comparing the first distance with a first preset distance;
determining that the offset information meets a fourth preset condition under the condition that the first distance is smaller than or equal to a first preset distance;
or;
comparing the driving distance with a second preset distance under the condition that the first distance is greater than or equal to a first preset distance;
and determining that the deviation information of the track information meets a fourth preset condition under the condition that the driving distance is smaller than or equal to the second preset distance.
7. The method according to claim 1, wherein the step of determining whether the first offline time duration meets a fifth preset condition, whether the second offline time duration meets a sixth preset condition, and whether the number of positioning anomalies of the positioning device meets a seventh preset condition comprises:
comparing the first off-line time length with a fourth preset time length;
determining that the first offline time length meets a fifth preset condition under the condition that the first offline time length is less than or equal to the fourth preset time length;
comparing the second off-line time length with a fifth preset time length;
determining that the second offline time length meets a sixth preset condition under the condition that the second offline time length is less than or equal to a fifth preset time length;
comparing the positioning abnormity frequency with a preset abnormity frequency;
and determining that the positioning abnormal times of the positioning device meet a seventh preset condition under the condition that the abnormal times are less than or equal to the preset abnormal times.
8. The method of claim 1, wherein the incoming vehicle comprises a head and a body, both the head and the body being provided with RFID tags, the method further comprising:
reading first label information of the RFID label of the vehicle head and second label information of the RFID label of the vehicle body;
determining a first original label of a head of the incoming vehicle and a second original label of a body of the incoming vehicle;
comparing first tag information with the first original tag and the second tag information with the second original tag respectively;
if the first tag information is consistent with the first original tag and the second tag information is consistent with the second original tag, executing the step of determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition;
and determining that the vehicle needs to enter the vehicle after sampling under the condition that the first tag information is inconsistent with the first original tag or the second tag information is consistent with the second original tag.
9. The method according to claim 1, wherein the step of determining whether the incoming vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition comprises:
under the condition that the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition are all met, determining that the vehicle enters the field without sampling directly;
and under the condition that any one of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition is not satisfied, determining that the vehicle needs to enter the field after sampling.
10. A sampling-free logistics monitoring device for direct entry, which is characterized in that the device comprises: a determining module and a processing module;
the determining module is used for acquiring track information of an entering vehicle and standard track information corresponding to the track information;
the processing module is used for calculating the coincidence rate of the track information and the standard track information;
the determining module is used for determining whether the coincidence rate meets a first preset condition;
the determining module is used for acquiring parking parameters, total running time and offset information of the entering vehicle, wherein the offset information is the offset of the track information relative to the standard track information;
the determining module is used for determining whether the parking parameters meet a second preset condition, whether the total running time meets a third preset condition and whether the offset information meets a fourth preset condition, wherein the second preset condition is met;
the determining module is configured to obtain a first offline duration and a second offline duration of a positioning device in the incoming vehicle, and a positioning abnormality frequency of the positioning device, where the first offline duration is an offline duration after the positioning device is directly disconnected, the second offline duration is an offline duration of the positioning device caused by vehicle parking, and the positioning abnormality indicates that positioning information of the positioning device is wrong;
the determining module is configured to determine whether the first offline time length meets a fifth preset condition, whether the second offline time length meets a sixth preset condition, and whether the number of times of positioning abnormality of the positioning device meets a seventh preset condition;
the determining module is used for determining whether the vehicle is directly entered without sampling based on the determination results of the first preset condition, the second preset condition, the third preset condition, the fourth preset condition, the fifth preset condition, the sixth preset condition and the seventh preset condition.
11. An electronic device, comprising a memory storing a computer program and a processor implementing the steps of the method according to any of claims 1-9 when the processor executes the computer program.
12. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method as set forth in any one of the claims 1-9.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210464754.7A CN114648277A (en) | 2022-04-25 | 2022-04-25 | Sampling-free direct-entry logistics monitoring method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210464754.7A CN114648277A (en) | 2022-04-25 | 2022-04-25 | Sampling-free direct-entry logistics monitoring method and device, electronic equipment and storage medium |
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