CN117196480A - Intelligent logistics park management system based on digital twinning - Google Patents
Intelligent logistics park management system based on digital twinning Download PDFInfo
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Abstract
The invention discloses a digital twinning-based intelligent logistics park management system, which comprises a data acquisition module, a data processing module, a data storage module and a data output module, wherein the data acquisition module is used for acquiring data from a smart logistics park; the data acquisition module is used for acquiring real-time data of the storeroom; the data storage module is used for storing warehouse three-dimensional model data and historical data of a warehouse, which are established in advance by a user; the data processing module is used for establishing a mapping relation between the historical data and the three-dimensional model data, importing the cargo position information into the three-dimensional model data, finally, making a target position report for cargo storage according to the three-dimensional model data, and generating a path planning report; according to the invention, the three-dimensional model is combined with the actual situation, the storage positions of the cargoes are arranged from the actual situation of the storehouse, workers do not need to search the storage positions of the cargoes by themselves, the condition of stacking the cargoes in partial areas of the storehouse can be effectively avoided according to the system recommended position inventory, and the space utilization rate of the storehouse is improved.
Description
Technical Field
The invention relates to the field of data management, in particular to a digital twinning-based intelligent logistics park management system.
Background
The intelligent logistics park is used for digitally and intelligently managing and operating each link of the logistics park through the Internet of things and artificial intelligence technology; the goal of wisdom commodity circulation garden is to improve the informatization construction level in commodity circulation garden, reduces the operation cost, improves operating efficiency, promotes the intelligent transformation and the development of commodity circulation industry.
Wherein, current commodity circulation garden is after the goods classification, and the artificial inventory position of judging leads to the regional goods of storehouse to deposit that concentration is too high, storehouse whole space utilization is low, and the artificial inventory position of looking for simultaneously, and the goods deposits speed slowly, inefficiency, therefore, proposes an wisdom commodity circulation garden management system based on digit twin.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem that the storage concentration of cargoes in a part of a warehouse is too high and the utilization rate of the warehouse space is low, the intelligent logistics park management system based on digital twinning is provided.
The invention solves the technical problems through the following technical scheme that the invention comprises a data acquisition module, a data processing module, a data storage module and a data output module;
the data acquisition module is used for acquiring real-time data of the storeroom, wherein the real-time data comprises first real-time data, and the first real-time data comprises real-time position information and size information of goods;
the data storage module is used for storing warehouse three-dimensional model data and warehouse historical data which are established in advance by a user, wherein the historical data comprise first historical data and second historical data;
the data processing module is used for calling the historical data and the three-dimensional model data of the storeroom, establishing a mapping relation between the historical data and the three-dimensional model data, reading real-time position information of goods, converting the position information of the goods into the three-dimensional model data, importing the three-dimensional model data into the three-dimensional model data, finally, manufacturing a target position report for goods storage according to the three-dimensional model data, and generating a path planning report;
the data output module is used for receiving and outputting a target position report and a path planning report.
Preferably, the specific processing procedure of the data processing module is as follows:
retrieving first historical data, the first historical data comprising warehouse data information, the warehouse data information comprising cargo arrangement information;
according to the data information of the storeroom, a three-dimensional coordinate system A of the storeroom is established by taking the geometric center of the storeroom as an origin, the length direction of the storeroom as an X axis, the width direction of the storeroom as a Y axis and the height direction of the storeroom as a Z axis;
acquiring data of the three-dimensional model, and establishing a three-dimensional coordinate system B of the three-dimensional model by taking the geometric center of the three-dimensional model as an origin, taking the length direction of the three-dimensional model as an X ' axis, taking the width direction of the three-dimensional model as a Y ' axis and taking the height direction of the three-dimensional model as a Z ' axis;
establishing a mapping relation from a coordinate value in the three-dimensional coordinate system A to a coordinate value in the three-dimensional coordinate system B through a one-to-one correspondence relation between the three-dimensional coordinate system A and the three-dimensional coordinate system B;
counting idle preset storage stations on a goods shelf in the three-dimensional model, formulating a target position report of goods storage, and marking the target position;
reading real-time position information of goods, and converting the real-time position information of the goods into real-time model position information in a three-dimensional model according to the mapping relation;
and planning a cargo transportation path according to the position relation between the real-time model position information and the target position, and generating a path planning report.
Preferably, the storage station is rectangular, and the data processing module further performs the following processing procedures:
retrieving second historical data, wherein the second historical data comprises storage station coordinate information;
extracting coordinate values of four corners of the storage station according to coordinate information of the storage station, respectively calculating the length C1 and the width C2 of the storage station according to the coordinate values, and finally calculating the bearing area S1 of the storage station, wherein the specific calculation process is as follows:
S1=C1*C2
retrieving the size information of the goods and calculating the contact area S2 of the goods;
the effective contact rate Q of goods storage is calculated, and the specific calculation process is as follows:
Q=S2/S1
when the effective contact rate Q is less than or equal to a preset threshold value D, the goods can be stably stored in the storage station, and the selection of the storage station can be confirmed;
when Q is larger than the preset threshold D, the goods are large in size and cannot be stably stored in the storage station, the selection of the storage station is required to be denied, and a reselection instruction is sent.
Preferably, when the effective contact rate Q is less than or equal to the preset threshold value D, the data processing module further performs the following processing procedure:
retrieving the target locations and the real-time cargo locations of the plurality of markers;
formulating a plurality of paths from the real-time cargo position to the target position;
and respectively calculating the total length L of the paths, wherein the specific calculation process is as follows:
processing each path respectively, firstly dividing each path into a plurality of straight road sections, respectively extracting coordinate values of each straight road section, calculating the length of the straight road section according to the coordinate values, and adding the lengths of the plurality of straight road sections to obtain the total length L of the path;
and comparing the total lengths L of the paths, screening out a target position with the minimum total length of the paths, and selecting a storage station at the position.
Preferably, the real-time data further includes second real-time data, and the data processing module further performs the following processing procedures:
reading second real-time data, wherein the second real-time data comprises real-time pressure data of the storage station and weight data of goods;
converting weight data of the goods into pressure data, and respectively adding the pressure data to a plurality of preselected stations;
respectively predicting the pressure F of a plurality of storage stations after goods are placed;
when the pressure F is larger than a preset threshold H, the carrying capacity of the corresponding storage station is insufficient, the path planning of the corresponding storage station is removed, the target position with the minimum total path length is screened again, and the storage station at the position is selected.
Preferably, the intelligent logistics park management system further comprises a control module and a service platform module, wherein the control module is used for receiving the target position report, the path planning report and the evaluation report, sending the target position report and the path planning report to the data output module, and sending the evaluation report to the service platform module for feedback, and the data processing module further performs the following processing procedures:
two storage stations of the same goods shelf in the vertical direction are called;
respectively establishing two points E1 and E2 at the centers of the two storage stations, and reading coordinate values of the E1 and E2;
firstly, connecting two points E1 and E2 into a line segment E12, and then establishing a virtual right triangle of the line segment E12 and the horizontal direction and the vertical direction;
respectively calculating the distance R1 of the horizontal side line and the distance R2 of the vertical side line of the virtual right triangle according to the coordinate values;
calculating the length R3 of the line segment E12 by using a trigonometric function;
the inclination rate G of the goods shelf is calculated, and the concrete calculation process is as follows:
G=R2/R3
when the gradient G is more than or equal to a preset threshold J, the gradient of the goods shelf is large, the goods shelf is deformed or the screws are loosened, a repair-necessary report is made, the repair-necessary report is sent to a control module, and feedback is carried out to a service platform module through the control module;
when the gradient G is more than 0 and less than the preset threshold J, the using state of the goods shelf is unstable, the gradient can be changed along with the storage of goods, a maintenance report is made, the maintenance report is sent to the control module, and feedback is carried out to the service platform module through the control module.
Preferably, when the inclination G is 0 < the preset threshold J, the data processing module further performs the following processing procedure:
counting the number M of storage stations on the goods shelf and the number N of goods stored;
when the number N of the stored goods is less than the number M of the storage stations, the storage racks are not fully loaded, the storage racks have the risk of continuous deformation when the goods are continuously stored, the inclination is difficult to expect when the goods are continuously stored, maintenance is needed, and the maintenance report is changed into the necessary maintenance report.
Preferably, when the gradient G is greater than or equal to a preset threshold J, the data processing module further performs the following processing procedure:
firstly, the storage station is divided, and the specific dividing method is as follows:
two parallel virtual straight lines are oppositely formed in the width direction of the goods shelf, and the goods shelf is trisected;
wherein the middle part is a safe area, and the two sides are unsafe areas;
counting the horizontal coordinate value range of the safety area;
reading the horizontal coordinate value of the goods center at random;
judging whether the horizontal coordinate value of the goods is in a safe area or not;
calculating the specific gravity of the center of the goods in the safety area;
when the specific gravity is greater than or equal to a preset value, the shelf is inclined due to the self reason of the shelf, and an overhaul report is made for feedback; when the specific gravity is smaller than a preset value, the goods are stored, the goods cannot be stored in the middle of the storage station, the center of the goods deviates from the center of the goods shelf, the goods shelf is inclined, and a goods placing and arranging report is made while an overhaul report is made.
Preferably, the data processing module further performs the following processing procedure:
counting historical overhaul time of the goods shelf, and respectively calculating historical time intervals;
calculating a historical average time interval;
the method comprises the steps of calling a shelf maintenance time node, and calculating a current time interval from the latest time node to the current time;
comparing the historical average time interval with the current time interval, calculating the proportion of the current time interval to the historical average time interval, and when the proportion is greater than a preset time threshold, making an overhaul plan report.
Compared with the prior art, the invention has the following advantages: the intelligent logistics park management system based on the digital twinning adopts the digital twinning technology, combines the three-dimensional model with the actual situation, combines the real-time data of cargoes from the actual situation of a storehouse, arranges the storage positions of the cargoes, and does not need to search the storage positions of the cargoes by a worker, and can improve the storage speed of the cargoes, the storage efficiency of the cargoes, effectively avoid the accumulation situation of the cargoes in partial areas of the storehouse, and effectively improve the space utilization rate of the storehouse;
the system can monitor the goods shelf for storing goods in real time, monitor the inclination state of the goods shelf at the same time, judge the use state of the goods shelf, further formulate an overhaul report in advance, prevent accidents caused by the toppling of the goods shelf, and further improve the safety of a storehouse.
Drawings
Fig. 1 is an overall construction diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent logistics park management system based on digital twinning comprises a data acquisition module, a data processing module, a data storage module and a data output module;
the data acquisition module is used for acquiring real-time data of the storeroom, wherein the real-time data comprises first real-time data, and the first real-time data comprises real-time position information and size information of goods;
the data acquisition module is a plurality of image acquisition devices installed in a warehouse, and is used for acquiring real-time images of cargoes and then processing the real-time images of the cargoes to acquire real-time position information and size information of the cargoes;
the data storage module is used for storing warehouse three-dimensional model data and warehouse historical data which are established in advance by a user, wherein the historical data comprise first historical data and second historical data;
the data processing module is used for calling the historical data and the three-dimensional model data of the storeroom, establishing a mapping relation between the historical data and the three-dimensional model data, reading real-time position information of goods, converting the position information of the goods into the three-dimensional model data, importing the three-dimensional model data into the three-dimensional model data, finally, manufacturing a target position report for goods storage according to the three-dimensional model data, and generating a path planning report;
the data output module is used for receiving and outputting a target position report and a path planning report.
This stream garden management system adopts digital twin technique, combines three-dimensional model and actual conditions, and from the actual conditions of storehouse, combines the real-time data of goods, arranges the storage position of goods, and the staff need not look for the goods by oneself and deposits the position, according to the system recommended position stock can, can promote the storage speed of goods, promotes the efficiency that the goods was deposited, simultaneously can effectually avoid the accumulational condition of storehouse partial region goods, simultaneously can effectively promote the space utilization of storehouse.
The specific processing process of the data processing module is as follows:
retrieving first historical data, the first historical data comprising warehouse data information, the warehouse data information comprising cargo arrangement information;
according to the data information of the storeroom, a three-dimensional coordinate system A of the storeroom is established by taking the geometric center of the storeroom as an origin, the length direction of the storeroom as an X axis, the width direction of the storeroom as a Y axis and the height direction of the storeroom as a Z axis;
acquiring data of the three-dimensional model, and establishing a three-dimensional coordinate system B of the three-dimensional model by taking the geometric center of the three-dimensional model as an origin, taking the length direction of the three-dimensional model as an X ' axis, taking the width direction of the three-dimensional model as a Y ' axis and taking the height direction of the three-dimensional model as a Z ' axis;
establishing a mapping relation from a coordinate value in the three-dimensional coordinate system A to a coordinate value in the three-dimensional coordinate system B through a one-to-one correspondence relation between the three-dimensional coordinate system A and the three-dimensional coordinate system B;
counting idle preset storage stations on a goods shelf in the three-dimensional model, formulating a target position report of goods storage, and marking the target position;
reading real-time position information of goods, and converting the real-time position information of the goods into real-time model position information in a three-dimensional model according to the mapping relation;
and planning a cargo transportation path according to the position relation between the real-time model position information and the target position, and generating a path planning report.
Real storehouse conditions and three-dimensional model data are subjected to one-to-one correspondence and synchronous, real-time conditions of storage stations in the storehouse are monitored through the three-dimensional model in the background, and then storage positions of cargoes are reasonably arranged according to vacant conditions of the storage stations in the storehouse, so that storage efficiency of the cargoes can be improved, and space utilization rate of a guest room can be improved.
Further, the storage station is rectangular, and the data processing module further performs the following processing procedures:
retrieving second historical data, wherein the second historical data comprises storage station coordinate information;
extracting coordinate values of four corners of the storage station according to coordinate information of the storage station, respectively calculating the length C1 and the width C2 of the storage station according to the coordinate values, and finally calculating the bearing area S1 of the storage station, wherein the specific calculation process is as follows:
S1=C1*C2
retrieving the size information of the goods and calculating the contact area S2 of the goods;
the effective contact rate Q of goods storage is calculated, and the specific calculation process is as follows:
Q=S2/S1
when the effective contact rate Q is less than or equal to a preset threshold value D, the goods can be stably stored in the storage station, and the selection of the storage station can be confirmed;
when Q is larger than the preset threshold D, the goods are large in size and cannot be stably stored in the storage station, the selection of the storage station is required to be denied, and a reselection instruction is sent.
The cargo size and the storage station size are analyzed, the storage stations are screened according to the cargo size, the accuracy of the cargo storage position is improved, and meanwhile the misjudgment of the system is reduced.
Still further, when the effective contact rate Q is less than or equal to the preset threshold value D, the data processing module further performs the following processing procedure:
retrieving the target locations and the real-time cargo locations of the plurality of markers;
formulating a plurality of paths from the real-time cargo position to the target position;
and respectively calculating the total length L of the paths, wherein the specific calculation process is as follows:
processing each path respectively, firstly dividing each path into a plurality of straight road sections, respectively extracting coordinate values of each straight road section, calculating the length of the straight road section according to the coordinate values, and adding the lengths of the plurality of straight road sections to obtain the total length L of the path;
and comparing the total lengths L of the paths, screening out a target position with the minimum total length of the paths, and selecting a storage station at the position.
And the distribution path of the goods is analyzed, and the goods are stored by taking the storage station on the shortest path as the target position, so that the efficiency of storing the goods can be improved.
Still further, the real-time data further includes second real-time data, and the data processing module further performs the following processing procedure:
reading second real-time data, wherein the second real-time data comprises real-time pressure data of the storage station and weight data of goods;
it should be noted that the data acquisition module for acquiring the second real-time data is a pressure sensor.
Converting weight data of the goods into pressure data, and respectively adding the pressure data to a plurality of preselected stations;
respectively predicting the pressure F of a plurality of storage stations after goods are placed;
when the pressure F is larger than a preset threshold H, the carrying capacity of the corresponding storage station is insufficient, the path planning of the corresponding storage station is removed, the target position with the minimum total path length is screened again, and the storage station at the position is selected.
The goods shelf is analyzed for bearing capacity and goods weight, and the storage stations are screened according to the weight of the goods, so that the safety of goods storage is guaranteed, and meanwhile, the reliability of the use of the warehouse is improved.
The intelligent logistics park management system further comprises a control module and a service platform module, wherein the control module is used for receiving the target position report, the path planning report and the evaluation report, sending the target position report and the path planning report to the data output module, sending the evaluation report to the service platform module for feedback, and the data processing module further performs the following processing procedures:
two storage stations of the same goods shelf in the vertical direction are called;
respectively establishing two points E1 and E2 at the centers of the two storage stations, and reading coordinate values of the E1 and E2;
firstly, connecting two points E1 and E2 into a line segment E12, and then establishing a virtual right triangle of the line segment E12 and the horizontal direction and the vertical direction;
respectively calculating the distance R1 of the horizontal side line and the distance R2 of the vertical side line of the virtual right triangle according to the coordinate values;
calculating the length R3 of the line segment E12 by using a trigonometric function;
the inclination rate G of the goods shelf is calculated, and the concrete calculation process is as follows:
G=R2/R3
when the gradient G is more than or equal to a preset threshold J, the gradient of the goods shelf is large, the goods shelf is deformed or the screws are loosened, a repair-necessary report is made, the repair-necessary report is sent to a control module, and feedback is carried out to a service platform module through the control module;
when the gradient G is more than 0 and less than the preset threshold J, the using state of the goods shelf is unstable, the gradient can be changed along with the storage of goods, a maintenance report is made, the maintenance report is sent to the control module, and feedback is carried out to the service platform module through the control module.
The system can monitor the goods shelf for storing goods in real time, monitor the inclination state of the goods shelf at the same time, judge the use state of the goods shelf, further formulate an overhaul report in advance, prevent accidents caused by the toppling of the goods shelf, and further improve the safety of a storehouse.
Further, when the gradient G is greater than 0 and less than the preset threshold J, the data processing module further performs the following processing procedure:
counting the number M of storage stations on the goods shelf and the number N of goods stored;
when the number N of the stored goods is less than the number M of the storage stations, the storage racks are not fully loaded, the storage racks have the risk of continuous deformation when the goods are continuously stored, the inclination is difficult to expect when the goods are continuously stored, maintenance is needed, and the maintenance report is changed into the necessary maintenance report.
And when the gradient G of the goods shelf is in the safety range, judging the full load condition of the goods shelf, thereby judging the overhauling type of the goods shelf so as to reduce the misjudging rate of the system.
Still further, when the gradient G is greater than or equal to the preset threshold J, the data processing module further performs the following processing procedure:
firstly, the storage station is divided, and the specific dividing method is as follows:
two parallel virtual straight lines are oppositely formed in the width direction of the goods shelf, and the goods shelf is trisected;
wherein the middle part is a safe area, and the two sides are unsafe areas;
counting the horizontal coordinate value range of the safety area;
reading the horizontal coordinate value of the goods center at random;
judging whether the horizontal coordinate value of the goods is in a safe area or not;
calculating the specific gravity of the center of the goods in the safety area;
when the specific gravity is greater than or equal to a preset value, the shelf is inclined due to the self reason of the shelf, and an overhaul report is made for feedback; when the specific gravity is smaller than a preset value, the goods are stored, the goods cannot be stored in the middle of the storage station, the center of the goods deviates from the center of the goods shelf, the goods shelf is inclined, and a goods placing and arranging report is made while an overhaul report is made.
The goods storage habit is analyzed, the reasons for the inclination of the goods shelf are analyzed, corresponding reports are formulated according to the reasons for the inclination of the goods shelf, the use state of the goods shelf can be effectively improved, the maintenance time is prolonged, and the running cost is further reduced.
Still further, the data processing module further performs the following processing procedures:
counting historical overhaul time of the goods shelf, and respectively calculating historical time intervals;
calculating a historical average time interval;
the method comprises the steps of calling a shelf maintenance time node, and calculating a current time interval from the latest time node to the current time;
comparing the historical average time interval with the current time interval, calculating the proportion of the current time interval to the historical average time interval, and when the proportion is greater than a preset time threshold, making an overhaul plan report.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. The intelligent logistics park management system based on digital twinning is characterized by comprising a data acquisition module, a data processing module, a data storage module and a data output module;
the data acquisition module is used for acquiring real-time data of the storeroom, wherein the real-time data comprises first real-time data, and the first real-time data comprises real-time position information and size information of goods;
the data storage module is used for storing warehouse three-dimensional model data and warehouse historical data which are established in advance by a user, wherein the historical data comprise first historical data and second historical data;
the data processing module is used for calling the historical data and the three-dimensional model data of the storeroom, establishing a mapping relation between the historical data and the three-dimensional model data, reading real-time position information of goods, converting the position information of the goods into the three-dimensional model data, importing the three-dimensional model data into the three-dimensional model data, finally, manufacturing a target position report for goods storage according to the three-dimensional model data, and generating a path planning report;
the data output module is used for receiving and outputting a target position report and a path planning report.
2. The digital twinning-based intelligent logistics park management system of claim 1, wherein: the specific processing procedure of the data processing module is as follows:
retrieving first historical data, the first historical data comprising warehouse data information, the warehouse data information comprising cargo arrangement information;
according to the data information of the storeroom, a three-dimensional coordinate system A of the storeroom is established by taking the geometric center of the storeroom as an origin, the length direction of the storeroom as an X axis, the width direction of the storeroom as a Y axis and the height direction of the storeroom as a Z axis;
acquiring data of the three-dimensional model, and establishing a three-dimensional coordinate system B of the three-dimensional model by taking the geometric center of the three-dimensional model as an origin, taking the length direction of the three-dimensional model as an X ' axis, taking the width direction of the three-dimensional model as a Y ' axis and taking the height direction of the three-dimensional model as a Z ' axis;
establishing a mapping relation from a coordinate value in the three-dimensional coordinate system A to a coordinate value in the three-dimensional coordinate system B through a one-to-one correspondence relation between the three-dimensional coordinate system A and the three-dimensional coordinate system B;
counting idle preset storage stations on a goods shelf in the three-dimensional model, formulating a target position report of goods storage, and marking the target position;
reading real-time position information of goods, and converting the real-time position information of the goods into real-time model position information in a three-dimensional model according to the mapping relation;
and planning a cargo transportation path according to the position relation between the real-time model position information and the target position, and generating a path planning report.
3. The digital twinning-based intelligent logistics park management system of claim 2, wherein: the storage station is rectangular, and the data processing module further performs the following processing procedures:
retrieving second historical data, wherein the second historical data comprises storage station coordinate information;
extracting coordinate values of four corners of the storage station according to coordinate information of the storage station, respectively calculating the length C1 and the width C2 of the storage station according to the coordinate values, and finally calculating the bearing area S1 of the storage station, wherein the specific calculation process is as follows:
S1=C1*C2
retrieving the size information of the goods and calculating the contact area S2 of the goods;
the effective contact rate Q of goods storage is calculated, and the specific calculation process is as follows:
Q=S2/S1
when the effective contact rate Q is less than or equal to a preset threshold value D, the goods can be stably stored in the storage station, and the selection of the storage station can be confirmed;
when Q is larger than the preset threshold D, the goods are large in size and cannot be stably stored in the storage station, the selection of the storage station is required to be denied, and a reselection instruction is sent.
4. A digital twinning-based intelligent logistics park management system in accordance with claim 3, wherein: when the effective contact rate Q is less than or equal to a preset threshold value D, the data processing module also performs the following processing procedures:
retrieving the target locations and the real-time cargo locations of the plurality of markers;
formulating a plurality of paths from the real-time cargo position to the target position;
and respectively calculating the total length L of the paths, wherein the specific calculation process is as follows:
processing each path respectively, firstly dividing each path into a plurality of straight road sections, respectively extracting coordinate values of each straight road section, calculating the length of the straight road section according to the coordinate values, and adding the lengths of the plurality of straight road sections to obtain the total length L of the path;
and comparing the total lengths L of the paths, screening out a target position with the minimum total length of the paths, and selecting a storage station at the position.
5. The digital twinning-based intelligent logistics park management system of claim 4, wherein: the real-time data also comprises second real-time data, and the data processing module also performs the following processing procedures:
reading second real-time data, wherein the second real-time data comprises real-time pressure data of the storage station and weight data of goods;
converting weight data of the goods into pressure data, and respectively adding the pressure data to a plurality of preselected stations;
respectively predicting the pressure F of a plurality of storage stations after goods are placed;
when the pressure F is larger than a preset threshold H, the carrying capacity of the corresponding storage station is insufficient, the path planning of the corresponding storage station is removed, the target position with the minimum total path length is screened again, and the storage station at the position is selected.
6. The digital twinning-based intelligent logistics park management system of claim 1, wherein: the system also comprises a control module and a service platform module, wherein the control module is used for receiving the target position report, the path planning report and the evaluation report, sending the target position report and the path planning report to the data output module, and sending the evaluation report to the service platform module for feedback, and the data processing module further performs the following processing procedures:
two storage stations of the same goods shelf in the vertical direction are called;
respectively establishing two points E1 and E2 at the centers of the two storage stations, and reading coordinate values of the E1 and E2;
firstly, connecting two points E1 and E2 into a line segment E12, and then establishing a virtual right triangle of the line segment E12 and the horizontal direction and the vertical direction;
respectively calculating the distance R1 of the horizontal side line and the distance R2 of the vertical side line of the virtual right triangle according to the coordinate values;
calculating the length R3 of the line segment E12 by using a trigonometric function;
the inclination rate G of the goods shelf is calculated, and the concrete calculation process is as follows:
G=R2/R3
when the gradient G is more than or equal to a preset threshold J, the gradient of the goods shelf is large, the goods shelf is deformed or the screws are loosened, a repair-necessary report is made, the repair-necessary report is sent to a control module, and feedback is carried out to a service platform module through the control module;
when the gradient G is more than 0 and less than the preset threshold J, the using state of the goods shelf is unstable, the gradient can be changed along with the storage of goods, a maintenance report is made, the maintenance report is sent to the control module, and feedback is carried out to the service platform module through the control module.
7. The digital twinning-based intelligent logistics park management system of claim 6, wherein: when the gradient G is more than 0 and less than the preset threshold J, the data processing module further performs the following processing procedures:
counting the number M of storage stations on the goods shelf and the number N of goods stored;
when the number N of the stored goods is less than the number M of the storage stations, the storage racks are not fully loaded, the storage racks have the risk of continuous deformation when the goods are continuously stored, the inclination is difficult to expect when the goods are continuously stored, maintenance is needed, and the maintenance report is changed into the necessary maintenance report.
8. The digital twinning-based intelligent logistics park management system of claim 6, wherein: when the gradient G is more than or equal to a preset threshold J, the data processing module further performs the following processing procedures:
firstly, the storage station is divided, and the specific dividing method is as follows:
two parallel virtual straight lines are oppositely formed in the width direction of the goods shelf, and the goods shelf is trisected;
wherein the middle part is a safe area, and the two sides are unsafe areas;
counting the horizontal coordinate value range of the safety area;
reading the horizontal coordinate value of the goods center at random;
judging whether the horizontal coordinate value of the goods is in a safe area or not;
calculating the specific gravity of the center of the goods in the safety area;
when the specific gravity is greater than or equal to a preset value, the shelf is inclined due to the self reason of the shelf, and an overhaul report is made for feedback; when the specific gravity is smaller than a preset value, the goods are stored, the goods cannot be stored in the middle of the storage station, the center of the goods deviates from the center of the goods shelf, the goods shelf is inclined, and a goods placing and arranging report is made while an overhaul report is made.
9. The digital twinning-based intelligent logistics park management system of claim 6, wherein: the data processing module also performs the following processing procedures:
counting historical overhaul time of the goods shelf, and respectively calculating historical time intervals;
calculating a historical average time interval;
the method comprises the steps of calling a shelf maintenance time node, and calculating a current time interval from the latest time node to the current time;
comparing the historical average time interval with the current time interval, calculating the proportion of the current time interval to the historical average time interval, and when the proportion is greater than a preset time threshold, making an overhaul plan report.
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