CN110689271A - Internet of things intelligent weighing integrated management platform and management method - Google Patents

Internet of things intelligent weighing integrated management platform and management method Download PDF

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CN110689271A
CN110689271A CN201910946068.1A CN201910946068A CN110689271A CN 110689271 A CN110689271 A CN 110689271A CN 201910946068 A CN201910946068 A CN 201910946068A CN 110689271 A CN110689271 A CN 110689271A
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vehicle
weighing
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tire
coordinates
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CN110689271B (en
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陈端
陶京
罗仁昆
廖小山
陈丽闽
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Longyan Huachong Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G23/00—Auxiliary devices for weighing apparatus
    • G01G23/18—Indicating devices, e.g. for remote indication; Recording devices; Scales, e.g. graduated
    • G01G23/32—Indicating the weight by optical projection means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00—Testing static or dynamic balance of machines or structures
    • G01M1/12—Static balancing; Determining position of centre of gravity
    • G01M1/122—Determining position of centre of gravity

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Abstract

The invention discloses an Internet of things intelligent weighing integrated management platform and a management method, and relates to the field of weighing management, wherein the integrated management platform comprises a large-screen splicing system, a video monitoring system, a weight house control system and an application management system; the method comprises the following steps: firstly, driving a vehicle to be detected onto a wagon balance of a pound room, and starting a video monitoring system and a pound room control system; then responding to the fact that the vehicle to be detected completely drives on the wagon balance, and starting a platform house control system; then, classifying the weighing data into overload and non-overload through a data processing module, and sending the data to the large screen monitoring system; and finally, the weighing data and the vehicle information are printed out by a printer driven by an application manager. The invention effectively improves the operation efficiency and reduces the error rate, meanwhile, workers are not needed to be on the spot, the danger is avoided, and the whole-process monitoring has the function of cheating prevention.

Description

Internet of things intelligent weighing integrated management platform and management method
Technical Field
The invention relates to the field of weighing management, in particular to an Internet of things intelligent weighing integrated management platform and a management method.
Background
The weighbridge is widely used in the weighing field, a large number of trucks are transported in and out every day in logistics companies, coal plants, power plants, mine yards and the like, the existing weighbridge weighing mainly comprises two methods, one is traditional weighing, workers are required to carry out each step of operation link in person, the operation links comprise commanding and scheduling vehicles, weighing registration, goods selection, receipt printing and the like, for places needing 24-hour weighing, such as power plant coal transportation and ash transportation, 3 shifts of weighbridges must be carried out for 24 hours, the operation efficiency is low, the error rate is high, the site scheduling of the workers is dangerous, and cheating behaviors can exist in personnel communication.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is to provide an internet of things intelligent weighing integrated management platform and a management method, which aim to improve the operation efficiency and reduce the error rate, meanwhile, the work personnel is not needed to be on site, the danger is avoided, and the whole monitoring plays a role in cheating prevention.
In order to achieve the above object, the invention provides an internet of things intelligent weighing integrated management platform, which comprises:
the large-screen splicing system is used for displaying, counting, updating and exporting pound room data, pictures and video information;
the video monitoring system is used for acquiring real-time scenes in the weight room and synchronously sending the real-time scenes to the large-screen splicing system through video information;
the weight house control system is used for acquiring vehicle information and weighing data of a first vehicle; the vehicle information comprises license plate information, the speed of the vehicle to be weighed, and the mass of the vehicle and the approved fixed load; the system takes the direction of the head of the first vehicle as an X axis of a vehicle body coordinate, and a Y axis of the vehicle body coordinate is parallel to the axes of the left and right tires of the same group;
the application management system is used for controlling the printing equipment to print the vehicle information and the weighing data;
the weight house control system comprises: the weighing sensor arrays are arranged in a double-row mode along the radial direction of the traveling vehicle; the weighing sensor array comprises weighing sensor units, weighbridge supporting bodies in one-to-one correspondence with the weighing sensor units, weighing data acquisition modules in communication connection with the weighing sensor units, a vehicle position determination module, an actual gravity center solving module, an intrinsic gravity center acquisition module and a gravity center shift response module;
the weighing data acquisition module is used for acquiring the weighing data F measured by each weighing sensor unit(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
the vehicle position determining module is used for acquiring a first side image of the first vehicle comprising a first front part and a second rear part, and determining a maximum row number j of a first tire corresponding to the first front part on the wagon balance carrier according to the first side imagePre-MAXDetermining the minimum row number j of the second tire corresponding to the second rear part on the wagon balance carrierRear MIN；
The actual gravity center solving module is used for solving the line coordinates of the actual gravity center
Figure BDA0002224160170000024
Column coordinate
Figure BDA0002224160170000021
Wherein the line coordinates
Figure BDA0002224160170000022
Satisfies the following conditions:
Figure BDA0002224160170000023
j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire of the first front portion; said x2Of the point of equivalent stress of the second tyre of the second rear portionThe rear horizontal coordinate;
the column coordinate
Figure BDA0002224160170000031
Satisfies the following conditions:
Figure BDA0002224160170000032
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
an intrinsic center of gravity acquisition module for acquiring preset intrinsic center of gravity coordinates (x) of the first vehicle under the conditions of full load and uniform loading of each regionbase,ybase)；
A center of gravity shift response module for judging the preset intrinsic center of gravity coordinate (x)base,ybase) Coordinates of actual barycenter
Figure BDA0002224160170000033
And outputting a center of gravity shift alarm in response to the Euclidean distance being greater than a preset distance value.
In the technical scheme, the large-screen splicing system is arranged, so that an operator on duty does not need to check pound room data, pictures and video information on site; the weight house control system is arranged, so that vehicle information and weighing data can be conveniently acquired in real time, and the efficiency is improved; meanwhile, the field maintenance of workers is not needed, and the personal safety of the workers is ensured; the video monitoring system is arranged to monitor the situation of the weight house in real time and prevent cheating; the application management system is arranged, so that the printing equipment can be conveniently controlled to print the weighing data and the vehicle information. In this technical scheme, solve through the actual barycentric coordinate to the freight of first vehicle to judge with the intrinsic barycentric coordinate comparison when normally loading the goods, judge whether focus shifts, can reduce the traffic accident risk that focus shifts and cause on the one hand, on the other hand can be to the freight train in steal the goods and make the focus shift carry out the early warning, remind to examine that local density is different in the personnel's goods, have to pack the goods risk of steal.
In a specific embodiment, the weight house control system further comprises:
the license plate acquisition module is used for acquiring license plate information of the first vehicle;
the vehicle type obtaining module is used for obtaining a vehicle type of a first vehicle from a background server according to the license plate information;
the intrinsic gravity center obtaining module is further used for obtaining preset intrinsic gravity center coordinates (x) of the first vehicle under the conditions of full load and uniform loading of all areas according to the vehicle typebase,ybase)。
According to the technical scheme, the vehicle type is obtained from the server through the license plate information, so that the truck type can be accurately obtained, and a real preset intrinsic barycentric coordinate can be conveniently obtained.
In a specific embodiment, the weight house control system further comprises:
and the fake plate verification module is used for judging whether the first side image is matched with the vehicle type or not, responding to the mismatching of the first side image and the vehicle type and outputting a fake plate alarm instruction.
In the technical scheme, the first side image acquired through the image is compared with the vehicle type, and when the first side image is not matched with the vehicle type, the license plate information is not matched with the vehicle information or the possibility of fake plate exists, so that the fake plate is avoided and the goods are prevented from being weighed.
In one embodiment, the euclidean distance R satisfies:
Figure BDA0002224160170000041
in a specific embodiment, the large screen splicing system includes:
the display modules are used for displaying weight house data, pictures and video information;
the splicing processor is used for dividing the complete video into different display modules to finish the formation of a super-large dynamic video by a plurality of common videos;
the spliced screen interface device is used for connecting various input and output devices and controlling and editing the display content of the spliced large screen;
and the spliced screen software is used for managing and controlling the software to realize the picture display setting and various functions of the spliced screen and the editing and updating of the display content.
In a specific embodiment, the video monitoring system comprises a video module, a video sending module, a video storage module, a vehicle information acquisition module and an information updating module.
In another aspect of the present invention, an internet of things intelligent weighing integrated management method is further provided, where the management method includes:
step S1, driving a vehicle to be detected onto a wagon balance of a platform house, starting a video monitoring system to record the scene in the platform house in real time through a video module, collecting the vehicle information of the vehicle to be detected through a vehicle information collecting module, and sending the vehicle information to a large-screen monitoring system; the vehicle information comprises license plate information, the speed of the vehicle and the mass of the vehicle;
step S2, in response to the fact that the vehicle to be detected completely drives on the wagon balance, starting a platform room control system; in response to the vehicle to be detected not completely driving onto the wagon balance, returning to step S1;
step S3, starting the weight house control system, weighing through a weighing module, and acquiring weighing data through a data acquisition module;
step S4, classifying the weighing data into overload and non-overload through a data processing module, and sending the data to the large screen monitoring system;
and step S5, printing the weighing data and the vehicle information by an application manager driving printer.
In a specific embodiment, the method further comprises:
collecting weighing data F measured by each weighing sensor unit(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
capturing a first side image, root, of the first vehicle including a first front portion and a second rear portionDetermining the maximum row number j of the first tire corresponding to the first front part on the wagon balance supporting body according to the first side imagePre-MAXDetermining the minimum row number j of the second tire corresponding to the second rear part on the wagon balance carrierRear MIN；
Solving the line coordinates of the actual center of gravity
Figure BDA0002224160170000051
Column coordinate
Figure BDA0002224160170000052
Wherein the line coordinates
Figure BDA0002224160170000053
Satisfies the following conditions:
Figure BDA0002224160170000054
j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire of the first front portion; said x2A rear abscissa that is an equivalent force point of the second tire of the second rear portion;
the column coordinate
Figure BDA0002224160170000061
Satisfies the following conditions:
Figure BDA0002224160170000062
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
acquiring a preset intrinsic barycentric coordinate (x) of the first vehicle under the conditions of full load and uniform loading of each regionbase,ybase)；
Determining the predetermined intrinsic centroid coordinates (x)base,ybase) Coordinates of actual barycenter
Figure BDA0002224160170000063
The Euclidean distance of (a) is,and outputting a center of gravity shift alarm in response to the Euclidean distance being greater than a preset distance value.
The invention has the beneficial effects that: by arranging the large-screen splicing system, the on-duty personnel do not need to check the pound room data, pictures and video information on site; the weight house control system is arranged, so that vehicle information and weighing data can be conveniently acquired in real time, and the efficiency is improved; meanwhile, the field maintenance of workers is not needed, and the personal safety of the workers is ensured; the video monitoring system is arranged to monitor the situation of the weight house in real time and prevent cheating; the application management system is arranged, so that the printing equipment can be conveniently controlled to print the weighing data and the vehicle information. The management method is simple, the operation efficiency is effectively improved, the error rate is reduced, meanwhile, workers do not need to be on the site, danger is avoided, and the whole-process monitoring has the anti-cheating effect. According to the method, the actual barycentric coordinate of the cargo of the first vehicle is solved, and the actual barycentric coordinate is compared with the intrinsic barycentric coordinate when the cargo is normally loaded, so that whether the cargo is shifted or not is judged, on one hand, the accident risk caused by the shift of the barycentric can be reduced, on the other hand, the shift of the barycenter caused by the existence of the stolen cargo in the truck can be early warned, and the cargo detection personnel are reminded of the fact that the cargo is different in local density, and the risk of filling.
Drawings
Fig. 1 is a schematic structural diagram of an internet-of-things intelligent weighing integrated management platform according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a weight room control system of an internet-of-things intelligent weighing integrated management platform according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an internet of things intelligent weighing integrated management platform according to an embodiment of the present invention when a first vehicle passes through a pound;
FIG. 4 is a simplified force model diagram of a vehicle weighing scale according to an embodiment of the present invention;
FIG. 5 is a schematic illustration of a vehicle front and rear partition in accordance with an embodiment of the present invention;
FIG. 6 is a schematic view of a front and rear portion of a vehicle according to another embodiment of the present invention;
FIG. 7 is a schematic view of a front and rear portion of a vehicle according to yet another embodiment of the present invention;
fig. 8 is a schematic flow chart of an internet-of-things intelligent weighing integrated management method according to an embodiment of the present invention;
fig. 9 is a flow chart of an internet of things intelligent weighing integrated management method according to another embodiment of the invention.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
as shown in fig. 1 to 3, in a first embodiment of the present invention, an internet-of-things intelligent weighing integrated management platform is provided, including:
the large-screen splicing system 100 is used for displaying, counting, updating and exporting pound room data, pictures and video information;
the video monitoring system 200 is used for acquiring real-time scenes in the pound room and synchronously sending the real-time scenes to the large-screen splicing system 100 through video information;
a weight house control system 300 for collecting vehicle information and weighing data of a first vehicle 500; the vehicle information comprises license plate information, a vehicle speed of a vehicle to be weighed, and vehicle and approved fixed load mass; the system takes the direction of the head of the first vehicle 500 as the X axis of the body coordinate, and the Y axis of the body coordinate is parallel to the axes of the left and right tires of the same group;
an application management system 400 for controlling the printing apparatus to print the vehicle information and the weighing data;
the weight house control system 300 includes: the weighing sensor arrays are arranged in a double-row mode along the radial direction of the traveling vehicle; the weighing sensor array comprises weighing sensor units 302, a weighbridge carrier 303 corresponding to each weighing sensor unit 302, a weighing data acquisition module 304 in communication connection with each weighing sensor unit 302, a vehicle position determination module 305, an actual gravity center solving module 306, an intrinsic gravity center acquisition module 307 and a gravity center shift response module 308;
the weighing data acquisition module 304 is configured to,for collecting weighing data F measured by each of the weighing sensor units 302(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
the vehicle position determining module 305 is configured to acquire a first side image of the first vehicle 500 including a first front portion and a second rear portion, and determine a maximum row number j of the first tire 501 on the wagon balance carrier 303 corresponding to the first front portion according to the first side imagePre-MAXDetermining the minimum row number j of the second tire 502 corresponding to the second rear portion on the wagon balance carrier 303Rear MIN；
The actual center of gravity solving module 306 is used for solving the line coordinates of the actual center of gravity
Figure BDA0002224160170000081
Column coordinate
Figure BDA0002224160170000082
Wherein the line coordinates
Figure BDA0002224160170000083
Satisfies the following conditions:
Figure BDA0002224160170000084
j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire 501 at the first front portion; said x2A rear abscissa of an equivalent force point of the second tire 502 at the second rear portion;
it is noted that when the first tire 501 is only a set of left and right tires, the front abscissa is the relative coordinate of the contact point position of the first tire 501 with the wagon balance carrier 303; when the second tire 502 is only a set of left and right tires, the rear abscissa is the coordinate associated with the position of the contact point of the second tire 502 with the wagon balance carrier 303; when the first tire 501 is only a plurality of left and right tires, the front abscissa is the average of the coordinates associated with the positions of the contact points of the first tire 501 with the wagon balance carrier 303; when the second tire 502 is only a plurality of left and right tires, the rear abscissa is the average of the relative coordinates of the contact point positions of the plurality of second tires 502 with the wagon balance carrier 303;
the column coordinate
Figure BDA0002224160170000091
Satisfies the following conditions:
Figure BDA0002224160170000092
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
an intrinsic gravity center obtaining module 307 for obtaining a preset intrinsic gravity center coordinate (x) under the condition that the first vehicle 500 is fully loaded and each region is uniformly loadedbase,ybase)；
A center of gravity shift response module 308 for determining the preset intrinsic center of gravity coordinate (x)base,ybase) Coordinates with the actual center of gravity
Figure BDA0002224160170000093
Responsive to the Euclidean distance being greater than a preset distance value, outputting a center of gravity shift alert.
In this embodiment, the weight house control system 300 further includes:
the license plate acquisition module is used for acquiring license plate information of the first vehicle 500;
the vehicle type obtaining module is used for obtaining a vehicle type of the first vehicle 500 from the background server according to the license plate information;
the intrinsic gravity center obtaining module 307 is further configured to obtain a preset intrinsic gravity center coordinate (x) of the first vehicle 500 according to the vehicle type under the condition that the first vehicle is fully loaded and each region is uniformly loadedbase,ybase)。
In this embodiment, the weight house control system 300 further includes:
and the fake plate verification module is used for judging whether the first side image is matched with the vehicle type or not, responding to the mismatching of the first side image and the vehicle type and outputting a fake plate alarm instruction.
In this embodiment, the euclidean distance R satisfies:
Figure BDA0002224160170000101
in this embodiment, the large screen splicing system 100 includes:
the display modules are used for displaying weight house data, pictures and video information;
the splicing processor is used for dividing the complete video into different display modules to finish the formation of a super-large dynamic video by a plurality of common videos;
the spliced screen interface device is used for connecting various input and output devices and controlling and editing the display content of the spliced large screen;
and the spliced screen software is used for managing and controlling the software to realize the picture display setting and various functions of the spliced screen and the editing and updating of the display content.
In this embodiment, the video monitoring system 200 includes a video module, a video sending module, a video storage module, a vehicle information collecting module, and an information updating module.
As shown in fig. 4, the force applied to the first vehicle is subjected to model analysis, and it is assumed that the gravity of the first vehicle is G, the gravity center coordinate is x, and the front portion support force for the first vehicle is FAMean support point coordinate of xAAnd the supporting force of the rear portion on the first vehicle is FBMean support point coordinate of xBAccording to the relationship between the moment and the force, the following conditions are known: fA(xA-x)＝FB(x-xB) (ii) a Thus, the following can be obtained:
for the application, when the Y-axis coordinate position is solved, the weighing data on the left side is required to be used as a whole, and the weighing data on the right side is required to be used as a whole to solve the Y-axis coordinate; the derivation can obtain:
column coordinate
Figure BDA0002224160170000104
Satisfies the following conditions:
Figure BDA0002224160170000105
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
similarly, when solving the position of the X-axis coordinate, the front weighing data is required to be taken as a whole, and the rear side weighing data is required to be taken as a whole to solve the X-axis coordinate; the derivation can obtain:
line coordinate
Figure BDA0002224160170000111
Satisfies the following conditions:
Figure BDA0002224160170000112
the front and the rear of the weighing data of the vehicle with the sensor are divided, the condition of the tire can be checked according to a side view of the vehicle and divided, and the value of k is judged according to the gap in the middle of the tire.
It is noted that the setting manner of the front and rear portions of the first vehicle is preset, and the setting rule thereof may be set according to actual needs. Typically, several settings are given in fig. 5-7. In fig. 5 to 7, the area corresponding to the second tire 502 in the rear portion is the rear portion, and the area corresponding to the first tire 501 is the front portion. In general, the spacing between the load cell arrays is such that the tire spacing exists, and the distance between the front and rear tires is greater than the area covered by a single load cell.
As shown in fig. 8-9, in a second embodiment of the present invention, an internet-of-things intelligent weighing integrated management method is provided, the management method includes:
step S1, driving a vehicle to be detected onto a wagon balance of a platform house, starting a video monitoring system to record the scene in the platform house in real time through a video module, collecting the vehicle information of the vehicle to be detected through a vehicle information collecting module, and sending the vehicle information to a large-screen monitoring system; the vehicle information comprises license plate information, the speed of the vehicle and the mass of the vehicle;
step S2, in response to the fact that the vehicle to be detected completely drives on the wagon balance, starting a platform room control system; in response to the vehicle to be detected not completely driving onto the wagon balance, returning to step S1;
step S3, starting the weight house control system, weighing through a weighing module, and acquiring weighing data through a data acquisition module;
step S4, classifying the weighing data into overload and non-overload through a data processing module, and sending the data to the large screen monitoring system;
and step S5, printing the weighing data and the vehicle information by an application manager driving printer.
In this embodiment, the method further includes:
collecting weighing data F measured by each weighing sensor unit(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
acquiring a first side image of the first vehicle comprising a first front part and a second rear part, and determining a maximum row number j of a first tire corresponding to the first front part on the wagon balance carrier according to the first side imagePre-MAXDetermining the minimum row number j of the second tire corresponding to the second rear part on the wagon balance carrierRear MIN；
Solving the line coordinates of the actual center of gravity
Figure BDA0002224160170000121
Column coordinate
Figure BDA0002224160170000122
Wherein the line coordinates
Figure BDA0002224160170000123
Satisfies the following conditions:
Figure BDA0002224160170000124
j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire of the first front portion; said x2A rear abscissa that is an equivalent force point of the second tire of the second rear portion;
the column coordinate
Figure BDA0002224160170000125
Satisfies the following conditions:
Figure BDA0002224160170000126
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
acquiring a preset intrinsic barycentric coordinate (x) of the first vehicle under the conditions of full load and uniform loading of each regionbase,ybase)；
Determining the predetermined intrinsic centroid coordinates (x)base,ybase) Coordinates of actual barycenter
Figure BDA0002224160170000127
And outputting a center of gravity shift alarm in response to the Euclidean distance being greater than a preset distance value.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (8)

1. The utility model provides a thing networking wisdom integrated management platform that weighs which characterized in that, integrated management platform includes:
the large-screen splicing system is used for displaying, counting, updating and exporting pound room data, pictures and video information;
the video monitoring system is used for acquiring real-time scenes in the weight room and synchronously sending the real-time scenes to the large-screen splicing system through video information;
the weight house control system is used for acquiring vehicle information and weighing data of a first vehicle; the vehicle information comprises license plate information, the speed of the vehicle to be weighed, and the mass of the vehicle and the approved fixed load; the system takes the head direction of the first vehicle as an X axis of a vehicle body coordinate, and a Y axis of the vehicle body coordinate is parallel to the axes of the left and right tires of the same group;
the application management system is used for controlling the printing equipment to print the vehicle information and the weighing data;
the weight house control system comprises: the weighing sensor arrays are arranged in a double-row mode along the radial direction of the traveling vehicle; the weighing sensor array comprises weighing sensor units, weighbridge supporting bodies in one-to-one correspondence with the weighing sensor units, a weighing data acquisition module, a vehicle position determination module, an actual gravity center solving module, an intrinsic gravity center acquisition module and a gravity center shift response module, wherein the weighing data acquisition module is in communication connection with the weighing sensor units;
the weighing data acquisition module is used for acquiring the weighing data F measured by each weighing sensor unit(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
the vehicle position determining module is used for acquiring a first side image of the first vehicle comprising a first front part and a second rear part, and determining a maximum row number j of a first tire corresponding to the first front part on the wagon balance supporting body according to the first side imagePre-MAXDetermining the minimum row number j of the second tire corresponding to the second rear part on the wagon balance carrierRear MIN；
The actual gravity center solving module is used for solving the line coordinates of the actual gravity centerColumn coordinateWherein the line coordinates
Figure FDA0002224160160000023
Satisfies the following conditions:
Figure FDA0002224160160000024
j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire of the first front portion; said x2A rear abscissa that is an equivalent force point of the second tire of the second rear portion;
the column coordinate
Figure FDA0002224160160000025
Satisfies the following conditions:
Figure FDA0002224160160000026
wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
an intrinsic center of gravity acquisition module for acquiring preset intrinsic center of gravity coordinates (x) of the first vehicle under the conditions of full load and uniform loading of each regionbase,ybase)；
A center of gravity shift response module for judging the preset intrinsic center of gravity coordinate (x)base,ybase) Coordinates of actual barycenter
Figure FDA0002224160160000027
Responsive to the Euclidean distance being greater than a preset distance value, outputting a center of gravity shift alert.
2. The internet of things intelligent weighing integrated management platform of claim 1, wherein the weight house control system further comprises:
the license plate acquisition module is used for acquiring license plate information of the first vehicle;
the vehicle type acquisition module is used for acquiring and searching the vehicle type of the first vehicle from the background server according to the license plate information;
the intrinsic gravity center obtaining module is further used for obtaining preset intrinsic gravity center coordinates (x) of the first vehicle under the conditions of full load and uniform loading of all areas according to the vehicle typebase,ybase)。
3. The internet-of-things intelligent weighing integrated management platform of claim 2, wherein the weight house control system further comprises:
and the fake plate verification module is used for judging whether the first side image is matched with the vehicle type or not, responding to the mismatching of the first side image and the vehicle type and outputting a fake plate alarm instruction.
4. The internet-of-things intelligent weighing integrated management platform as claimed in claim 2, wherein the Euclidean distance R satisfies:
Figure FDA0002224160160000031
5. the internet of things intelligent weighing integrated management platform as claimed in claim 1, wherein the large screen splicing system comprises:
the display modules are used for displaying weight house data, pictures and video information;
the splicing processor is used for dividing the complete video into different display modules to finish the combination of a plurality of common videos into a super-large dynamic video;
the spliced screen interface device is used for connecting various input and output devices and controlling and editing the display content of the spliced large screen;
and the spliced screen software is used for managing and controlling the software to realize the picture display setting and various functions of the spliced screen and the editing and updating of the display content.
6. The Internet of things intelligent weighing integrated management platform as claimed in claim 1, wherein the video monitoring system comprises a video module, a video sending module, a video storage module, a vehicle information acquisition module and an information updating module.
7. An Internet of things intelligent weighing comprehensive management method is characterized by comprising the following steps:
step S1, driving a vehicle to be detected onto a wagon balance of a platform room, starting a video monitoring system to record the scene in the platform room in real time through a video module, collecting the vehicle information of the vehicle to be detected through a vehicle information collecting module, and sending the vehicle information to a large-screen monitoring system; the vehicle information comprises license plate information, the speed of the vehicle to be weighed, and the mass of the vehicle and the approved fixed load;
step S2, in response to the vehicle to be detected completely driving on the wagon balance, starting a weight house control system; in response to the vehicle to be detected not completely driving onto the wagon balance, returning to step S1;
step S3, starting the weight house control system, weighing through a weighing module, and acquiring weighing data through a data acquisition module;
step S4, classifying the weighing data into overload and non-overload through a data processing module, and sending the data to the large screen monitoring system;
and step S5, printing the weighing data and the vehicle information by an application manager driving printer.
8. The method for the comprehensive management of the intelligent weighing of the internet of things according to claim 7, further comprising the following steps:
collecting weighing data F measured by each weighing sensor unit(j,i)(ii) a The i is a row number, and the i is 1, 2; j is a row number, j is more than or equal to 1 and less than or equal to N, N is the total row number, and j is a positive integer;
capturing a first vehicle of the first vehicle including a first front portion and a second rear portionA side image, and determining the maximum row number j of the first tire corresponding to the first front part on the wagon balance carrier according to the first side imagePre-MAXDetermining the minimum row number j of the second tire corresponding to the second rear part on the wagon balance carrierRear MIN；
Solving the line coordinates of the actual center of gravity
Figure FDA0002224160160000041
Column coordinateWherein the line coordinates
Figure FDA0002224160160000043
Satisfies the following conditions:j is the same asPre-MAX＜k＜jRear MIN(ii) a Said x1A front abscissa of an equivalent force point of the first tire of the first front portion; said x2A rear abscissa that is an equivalent force point of the second tire of the second rear portion;
the column coordinate
Figure FDA0002224160160000051
Satisfies the following conditions:wherein, said y1For the left tire row coordinate on the body coordinate, y2Arranging coordinates on the vehicle body coordinates for the right tire;
acquiring a preset intrinsic barycentric coordinate (x) of the first vehicle under the conditions of full load and uniform loading of each regionbase,ybase)；
Determining the predetermined intrinsic centroid coordinates (x)base,ybase) Coordinates of actual barycenterResponsive to the Euclidean distance being greater than a preset distance value, outputting a center of gravity shift alert.
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