CN118134354A - Vehicle transportation workload statistics method and system - Google Patents
Vehicle transportation workload statistics method and system Download PDFInfo
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- G07C5/00—Registering or indicating the working of vehicles
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Abstract
The invention provides a vehicle transportation workload statistical method and a system, which are used for acquiring the weight of vehicle-mounted cargoes of a vehicle in real time according to a weighing sensor on a suspension system of the vehicle; positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through a positioning module of the vehicle; acquiring the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period of the vehicle, and judging whether the carrying process in the carrying period is an effective carrying process or not; and counting the carrying times of the effective carrying process of the vehicle, and the weight and carrying distance of the vehicle-mounted cargoes in the effective carrying process, and forming a vehicle workload list after being linked with the vehicle ID, and sending the vehicle workload list to a management terminal for checking.
Description
Technical Field
The invention relates to the technical field of Internet of vehicles, in particular to a vehicle transportation workload statistical method and system.
Background
At present, the mining, loading and transporting links of the opencast coal mine are mainly carried out through a dump truck, the settlement mode is that the square quantity is the distance of transportation, namely, the load carrying square quantity of the vehicle is measured to serve as a fixed value, the daily load pulling time counting is carried out, and the working quantity settlement is carried out by combining the distance of transportation.
The defects existing in the prior art mainly comprise the following points: in the operation process of the dump truck, because no real-time load data of the vehicle exists, in order to prevent the vehicle from being rarely installed, the vehicle is only required to be installed to overflow each time, and matched monitoring equipment or manual inspection is required to be carried out to judge whether the vehicle is full, so that manpower and material resources are wasted, and a visual blind spot of night operation cannot be solved; more serious, the vehicle is extremely damaged due to long-term overload operation, and the repair cost is high; and because of overflowing and falling the material problem, need to dispose engineering machinery and carry out road cleaning, further increased the administrative cost.
Disclosure of Invention
In order to overcome the technical defects, the invention aims to provide a vehicle transportation workload statistical method and system, which can automatically calculate the vehicle carrying weight and the effective carrying lap number and form the vehicle workload, reduce the loss and the labor cost.
The invention discloses a vehicle transportation workload statistical method, which comprises the following steps: acquiring the weight of the vehicle-mounted goods of the vehicle in real time according to a weighing sensor on a suspension system of the vehicle; positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through a positioning module of the vehicle; acquiring the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period of the vehicle, and judging whether the carrying process in the carrying period is an effective carrying process or not; and counting the carrying times of the effective carrying process of the vehicle, and carrying the weight and carrying distance of the vehicle-mounted cargoes in the effective carrying process, and forming a vehicle workload list after being linked with the vehicle ID.
Preferably, the vehicle is indicated in the loaded state when the vehicle transitions from a continuous empty state to a continuous full state; indicating that the vehicle is in a unloaded state when the vehicle transitions from a continuously full load state to a continuously empty state; wherein: the vehicle is determined to be in a full load state when the vehicle is greater than a full load threshold, and the vehicle is determined to be in an empty load state when the vehicle is less than an empty load threshold.
Preferably, the acquiring the weight of the vehicle cargo in real time according to the weighing sensor on the suspension system of the vehicle includes: and measuring and acquiring deformation displacement quantity generated by a suspension system of the vehicle caused by different vehicle-mounted cargo weights of the vehicle, and acquiring the vehicle-mounted cargo weight corresponding to the deformation displacement quantity.
Preferably, before the vehicle is put into the carrying operation, the method comprises: acquiring the weight m of the vehicle-mounted goods of the vehicle through a wagon balance, and simultaneously acquiring the detection quantity x 1,x2...xn of a plurality of weighing sensors on a suspension system of the vehicle; the vehicle-mounted cargo weight m is adjusted for multiple times, so that calibration curves m=a (x 1+x2+...+xn) +b of the weighing sensors are obtained; wherein a and b are calibration coefficients.
Preferably, the acquiring the weight and the carrying distance of the vehicle in each carrying period of the vehicle, and determining whether the carrying process in the carrying period is a valid carrying process includes: if the vehicle is in the full load state and the idle state, the carrying process in the carrying period is considered to be an effective carrying process; if the variance of the weight of the vehicle-mounted cargo at a certain position point in the middle of the vehicle transportation exceeds a set movement variance threshold, the vehicle is considered to be in a movement state at the position point.
Preferably, if the variance of the weight of the vehicle-mounted cargo at a certain position point in the way of the vehicle exceeds a set movement variance threshold, the step of considering that the vehicle is in a movement state at the certain position point comprises: if the number of continuous movements of the vehicle is greater than the threshold number of continuous movements and the sum of the number of points of movement exceeds twice the threshold number of continuous movements.
Preferably, if the vehicle is in a moving state in both the full state and the empty state, the carrying process in the carrying period is considered to be an effective carrying process, which includes: if the vehicle is in a static state in the full load state and the idle state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is ignored; if the vehicle is in a static state in the empty state and in a moving state in the full state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is combined to the next carrying period; if the vehicle is in a moving state in the empty state and in a stationary state in the full state, and the vehicle is in a stationary state in the empty state and in a moving state in the full state in the next carrying period, the carrying period is merged into the next carrying period.
Preferably, the acquiring the carrying distance of the vehicle in each carrying period includes: acquiring all positioning data of the vehicle in a full load state in the carrying period to form a plurality of full load points; and counting the sum of the distances between two adjacent full-load points to be used as the carrying distance of the carrying period.
Preferably, the acquiring the weight of the load carried by the vehicle in each carrying period includes: and acquiring the median value of all the vehicle-mounted cargo weights of the vehicles in the carrying period in the full-load state, and taking the median value as the vehicle-mounted cargo weight of the carrying period.
The invention also discloses a vehicle transportation workload statistical system for implementing the vehicle transportation workload statistical method, which comprises a vehicle weighing data acquisition subsystem and a data service subsystem:
the vehicle weighing data acquisition subsystem is arranged on a vehicle and comprises a positioning module, a wireless communication module and a plurality of weighing sensors on a suspension system; the data service subsystem comprises a cloud server and a management terminal;
acquiring the weight of the vehicle-mounted goods of the vehicle in real time according to the weighing sensor; positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through the positioning module;
the cloud server acquires the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period through the wireless communication module, and judges whether the carrying process in the carrying period is an effective carrying process or not; counting the carrying times of the effective carrying process of the vehicle, and the weight and carrying distance of the vehicle-mounted cargoes in all the effective carrying processes, and forming a vehicle workload list after being linked with the vehicle ID; and sending the vehicle workload list to a management terminal.
After the technical scheme is adopted, compared with the prior art, the method has the following beneficial effects:
1. According to the invention, the data acquired by the sensors on the vehicle are analyzed, including the weight, time, positioning and the like of the vehicle transportation, the number of passes, the weight and the transportation distance of the vehicle transportation are automatically calculated, and whether the transportation process in the transportation period is an effective transportation process is judged according to a series of judgment rules, so that the accuracy of intelligent workload statistics is improved;
2. by collecting real-time load data of the vehicle, the vehicle does not need to be loaded to overflow when loaded, so that the load of the vehicle is reduced, the vehicle loss is reduced, the maintenance cost is saved, the matched supervision equipment and road cleaning equipment are omitted, and the management cost is reduced;
3. The vehicle transportation workload statistical method of the invention combines the positioning and loading data, can automatically count the workload of the vehicle, calculate the freight rate, automatically generate a statistical report, calculate the freight rate for each trip according to the real freight distance and loading capacity, and not calculate by a unified operation planning any more, thereby reducing the contradiction between the manager and the vehicle owner caused by the calculation of the freight rate.
Drawings
FIG. 1 is a schematic diagram of a vehicle transportation workload statistical system provided by the present invention;
FIG. 2 is a flow chart of a method for counting vehicle transportation workload according to the present invention;
FIG. 3 is a schematic workflow diagram of a vehicle weighing data acquisition subsystem provided by the present invention;
Fig. 4 is a schematic workflow diagram of a data service subsystem provided in the present invention.
Detailed Description
Advantages of the invention are further illustrated in the following description, taken in conjunction with the accompanying drawings and detailed description.
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context.
In the description of the present invention, it should be understood that the terms "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, mechanical or electrical, or may be in communication with each other between two elements, directly or indirectly through intermediaries, as would be understood by those skilled in the art, in view of the specific meaning of the terms described above.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present invention, and are not of specific significance per se. Thus, "module" and "component" may be used in combination.
Referring to fig. 1-4, the invention discloses a vehicle transportation workload statistical method, which can be used for mine vehicle management and comprises the following steps:
S100, acquiring the weight of the vehicle-mounted goods of the vehicle in real time according to a weighing sensor on a suspension system of the vehicle;
s200, positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through a positioning module of the vehicle;
S300, acquiring the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period, and judging whether the carrying process in the carrying period is an effective carrying process or not;
S400, counting the carrying times of the effective carrying process of the vehicle, and carrying the weight and the carrying distance of the vehicle-mounted cargoes in all the effective carrying process, and forming a vehicle workload list after being combined with the vehicle ID.
In step S100, the load cell is not directly mounted on the suspension system of the vehicle, and the suspension system mainly functions to support and cushion the vibration and impact generated by the vehicle during running, so as to provide comfortable riding experience and stable handling performance, and some special-purpose vehicles may use the load cell to monitor the load condition of the vehicle, such as for transporting goods or special-purpose vehicles needing to precisely control the weight and balance of the vehicle, that is, special-purpose vehicles for carrying goods. When the weighing sensor is installed,
Are typically mounted on the suspension system or chassis of the vehicle to measure the weight of the vehicle or the load distribution of the individual tires. These sensors may be pressure sensors, strain sensors, load cells, or the like. They transmit the measured load information to an Electronic Control Unit (ECU) or other monitoring system of the vehicle in order to monitor and control the weight distribution of the vehicle in real time. Through these load cells, the operator or system of the vehicle can learn the load conditions of the vehicle for proper adjustment and control. For example, in a freight vehicle, a load cell may help ensure that the total weight of the vehicle does not exceed legal limits, or to adjust the position of the cargo in the event that an even distribution of weight is desired. The weighing sensor of the invention is used for weighing the load goods on the vehicle, and the principle is as follows: and measuring and acquiring deformation displacement quantity generated by a suspension system of the vehicle caused by different vehicle-mounted cargo weights of the vehicle, and acquiring the vehicle-mounted cargo weight corresponding to the deformation displacement quantity.
In addition to being used to measure the weight of the cargo carried by a vehicle, the following functions and applications can be realized when the load cell is mounted on the suspension system of the vehicle: load monitoring, the load cell can measure the total weight of the vehicle and the load distribution of each tire. This is important for freight vehicles, heavy vehicles on construction sites or special purpose vehicles. By monitoring the load condition in real time, the vehicle can be ensured to work in a reasonable load range, and overload or unbalance is prevented; the vehicle stability and balance, through weighing sensor, can the weight distribution condition of real-time supervision vehicle. This is important for applications where it is desirable to maintain vehicle stability and balance, such as trucks, excavators, or other heavy machinery. The control performance and the safety of the vehicle can be improved by monitoring and adjusting the gravity center position of the vehicle; load distribution and adjustment, in certain specific applications, it is desirable to ensure that the load of the vehicle is evenly distributed to avoid damage to specific components or tires from excessive pressure. The load cells may provide real-time load distribution information to enable an operator or system to make necessary adjustments, such as repositioning the cargo or adjusting the suspension system settings; the fault diagnosis and early warning are carried out, and the fault or abnormal condition of the suspension system or other related components can be timely detected through monitoring and analyzing the data of the weighing sensor. This helps to discover and address potential problems in advance to ensure safety and reliability of the vehicle.
Considering the installation deviation of the weighing sensor and the actual vehicle condition deviation of the vehicle, the vehicle transportation workload statistical method of the invention also needs to calibrate the weighing sensor after the system structure is installed and deployed, thereby ensuring the detection accuracy and precision: and (3) weighing for multiple times by utilizing the high-precision wagon balance, and calibrating displacement values output by a plurality of (combined) load sensors and the actual weight of the vehicle load so as to establish a linear relation between the displacement values and the actual weight of the vehicle load.
Specifically, before the vehicle is put into a carrying operation: acquiring the weight m of the vehicle-mounted goods of the vehicle through a wagon balance, and simultaneously acquiring the detection quantity x 1,x2...xn of a plurality of weighing sensors on a suspension system of the vehicle; the vehicle-mounted cargo weight m is adjusted for multiple times, so that calibration curves m=a (x 1+x2+...+xn) +b of the weighing sensors are obtained; wherein a and b are calibration coefficients.
In step S200, the vehicle is indicated to be in a loading state when the vehicle is converted from a continuous empty state to a continuous full state; the vehicle is indicated in the unloaded state when the vehicle transitions from the continuously full load state to the continuously empty state. Wherein: the vehicle is determined to be in a full load state when the vehicle is greater than a full load threshold, and the vehicle is determined to be in an empty load state when the vehicle is less than an empty load threshold. And according to the real-time positioning data of the matching vehicle of the loading time and the unloading time of the vehicle, the loading site and the unloading site can be calculated.
In step S300, the weight and the carrying distance of the vehicle cargo in each carrying cycle of the vehicle may be obtained, and the loading and unloading time may be calculated according to the weight, so that it is required to determine whether each pass meets the condition, that is, whether the carrying process in the carrying cycle is an effective carrying process.
The judgment rules include, but are not limited to, the following four:
(1) And when the vehicle is in a motion state in the full load state and the idle state, the carrying process in the carrying period is considered to be an effective carrying process:
wherein, the judgment rule of the motion state is as follows: 1) If the variance of the weight of the vehicle-mounted cargo at a certain position point in the carrying process of the vehicle exceeds a set movement variance threshold value, the vehicle is considered to be in a movement state at the position point; 2) If the number of continuous movements of the vehicle is greater than the threshold number of continuous movements and the sum of the number of points of movement exceeds twice the threshold number of continuous movements.
When the vehicle is in the full-load state and the empty-load state are not all in the moving state (when there is a stationary state): 1) If the vehicle is in a static state in the full load state and the idle state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is ignored; 2) If the vehicle is in a static state in the empty state and in a moving state in the full state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is combined to the next carrying period; 3) If the vehicle is in motion in the empty state and stationary in the full state, the motion of the next carrying cycle is seen (ignored if there is no next carrying cycle): the vehicle is in a static state in the empty state and in a static state in the full state in the next carrying period, the next carrying period is ignored, and the following carrying period is continuously considered; the vehicle is in a static state in the idle state and in a moving state in the full state in the next carrying period, and the carrying period is combined to the next carrying period; and if the vehicle is in a motion state in the idle state in the next carrying period, ignoring the current carrying period, and starting calculation from the next carrying period.
(2) The time interval between loading (after completion) and unloading (at the beginning) is less than the preset transit time threshold, and the pass is ignored.
(3) The interval between the time of unloading (completion) of the previous pass is less than or equal to the transport interval time threshold, and the pass is ignored.
(4) Checking the loading and unloading places of the vehicle, matching the vehicle parameters, and if the positions are not matched with the positions set by the vehicle parameters, neglecting the trip.
Preferably, all positioning data of the vehicle in the full-load state in the carrying period can be obtained to form a plurality of full-load points, and then the sum of the distances between two adjacent full-load points is counted to be used as the carrying distance of the carrying period.
Preferably, the median value of all the vehicle-mounted cargo weights of the vehicle in the full-load state in the carrying period can be obtained and used as the vehicle-mounted cargo weight of the carrying period.
In step S400, the number of times of carrying the effective carrying process of the vehicle, and the weight and carrying distance of the vehicle-mounted cargo in all the effective carrying processes are counted, and a vehicle workload list is formed after the effective carrying process is linked with the vehicle ID, and the formed vehicle workload list can be used for system modules such as system data monitoring, analysis, visualization and cost settlement.
The invention also discloses a vehicle transportation workload statistical system for implementing the vehicle transportation workload statistical method, and the vehicle transportation workload statistical system comprises a vehicle weighing data acquisition subsystem and a data service subsystem.
The vehicle weighing data acquisition subsystem is arranged on a vehicle and consists of a load sensor and a vehicle-mounted terminal, the load sensors are arranged on a vehicle suspension, and the vehicle weight change is monitored by measuring deformation displacement quantity generated by the vehicle suspension due to the change of the vehicle load capacity and correspondingly forming the deformation displacement quantity into corresponding weight. The vehicle-mounted terminal is arranged at the head of the automobile, and a CPU processing module, a Beidou positioning module and a 4G cellular network communication module are integrated in the vehicle-mounted terminal. The load sensor collects the collected digital quantity vehicle load sensor to the vehicle-mounted terminal through the serial communication interface, the vehicle-mounted terminal CPU processing module packages the Beidou positioning module positioning data, the vehicle load data, the vehicle-mounted on-line mode and the vehicle code ID to form a vehicle load data packet, and the vehicle load data packet is sent to the vehicle information data cloud server in a short message form by utilizing a 4G cellular network or other network types for forwarding.
The data service subsystem comprises a cloud server and a management terminal, wherein the cloud server analyzes and stores all vehicle load data packets, fuses multiple sensors, processes vehicle data information in real time by utilizing a median filtering algorithm to realize online high-precision real-time dynamic weighing, and finally packages a vehicle weighing result and a vehicle ID into a vehicle dynamic weighing result data packet to be stored for calculating the transportation trip number and the weight of the vehicle. The management terminal (user terminal) supports the user to monitor the vehicle loading data which can be checked in the authority in real time, inquire the data and settle the cost according to the authority of the manager.
It should be noted that the embodiments of the present invention are preferred and not limited in any way, and any person skilled in the art may make use of the above-disclosed technical content to change or modify the same into equivalent effective embodiments without departing from the technical scope of the present invention, and any modification or equivalent change and modification of the above-described embodiments according to the technical substance of the present invention still falls within the scope of the technical scope of the present invention.
Claims (10)
1. A vehicle transportation workload statistical method, comprising the steps of:
Acquiring the weight of the vehicle-mounted goods of the vehicle in real time according to a weighing sensor on a suspension system of the vehicle;
positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through a positioning module of the vehicle;
Acquiring the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period of the vehicle, and judging whether the carrying process in the carrying period is an effective carrying process or not;
and counting the carrying times of the effective carrying process of the vehicle, and carrying the weight and carrying distance of the vehicle-mounted cargoes in the effective carrying process, and forming a vehicle workload list after being linked with the vehicle ID.
2. The vehicle transportation workload statistical method according to claim 1, wherein the acquiring the vehicle-mounted cargo weight of the vehicle in real time according to the load cell on the suspension system of the vehicle comprises:
and measuring and acquiring deformation displacement quantity generated by a suspension system of the vehicle caused by different vehicle-mounted cargo weights of the vehicle, and acquiring the vehicle-mounted cargo weight corresponding to the deformation displacement quantity.
3. The vehicle transportation workload statistical method according to claim 2, wherein before the vehicle is put into the carrying work, comprising:
Acquiring the weight m of the vehicle-mounted goods of the vehicle through a wagon balance, and simultaneously acquiring the detection quantity x 1,x2...xn of a plurality of weighing sensors on a suspension system of the vehicle;
The vehicle-mounted cargo weight m is adjusted for multiple times, so that calibration curves m=a (x 1+x2+...+xn) +b of the weighing sensors are obtained;
Wherein a and b are calibration coefficients.
4. The vehicle transportation workload statistical method according to claim 1, wherein the vehicle is represented in a loaded state when the vehicle is converted from a continuously empty state to a continuously full state; indicating that the vehicle is in a unloaded state when the vehicle transitions from a continuously full load state to a continuously empty state;
Wherein: the vehicle is determined to be in a full load state when the vehicle is greater than a full load threshold, and the vehicle is determined to be in an empty load state when the vehicle is less than an empty load threshold.
5. The vehicle transportation workload statistics method according to claim 1, wherein the acquiring the weight and the carrying distance of the vehicle in each carrying cycle, and determining whether the carrying process in the carrying cycle is a valid carrying process comprises:
if the vehicle is in the full load state and the idle state, the carrying process in the carrying period is considered to be an effective carrying process;
if the variance of the weight of the vehicle-mounted cargo at a certain position point in the middle of the vehicle transportation exceeds a set movement variance threshold, the vehicle is considered to be in a movement state at the position point.
6. The vehicle transportation workload statistics method according to claim 5, wherein if the variance of the weight of the vehicle on-board the cargo at a certain position point on the way of the vehicle exceeds a set movement variance threshold, the considering that the vehicle is in a movement state at the position point comprises:
if the number of continuous movements of the vehicle is greater than the threshold number of continuous movements and the sum of the number of points of movement exceeds twice the threshold number of continuous movements.
7. The vehicle transportation workload statistics method according to claim 6, wherein if the vehicle is in the full load state and the empty load state, the considering the carrying process in the carrying period as an effective carrying process comprises:
if the vehicle is in a static state in the full load state and the idle state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is ignored;
if the vehicle is in a static state in the empty state and in a moving state in the full state, the carrying process in the carrying period is considered to be an invalid carrying process, and the carrying period is combined to the next carrying period;
If the vehicle is in a moving state in the empty state and in a stationary state in the full state, and the vehicle is in a stationary state in the empty state and in a moving state in the full state in the next carrying period, the carrying period is merged into the next carrying period.
8. The vehicle transportation workload statistical method according to claim 1, wherein the acquiring the carrying distance in each carrying cycle of the vehicle comprises:
Acquiring all positioning data of the vehicle in a full load state in the carrying period to form a plurality of full load points;
and counting the sum of the distances between two adjacent full-load points to be used as the carrying distance of the carrying period.
9. The vehicle transportation workload statistical method according to claim 1, wherein the acquiring the weight of the on-board cargo in each carrying cycle of the vehicle comprises:
and acquiring the median value of all the vehicle-mounted cargo weights of the vehicles in the carrying period in the full-load state, and taking the median value as the vehicle-mounted cargo weight of the carrying period.
10. A vehicle transportation workload statistical system for implementing the vehicle transportation workload statistical method according to any one of the preceding claims 1 to 9, the vehicle transportation workload statistical system comprising a vehicle weighing data acquisition subsystem and a data service subsystem:
the vehicle weighing data acquisition subsystem is arranged on a vehicle and comprises a positioning module, a wireless communication module and a plurality of weighing sensors on a suspension system; the data service subsystem comprises a cloud server and a management terminal;
acquiring the weight of the vehicle-mounted goods of the vehicle in real time according to the weighing sensor; positioning a loading place where the vehicle is in a loading state and a unloading place where the vehicle is in an unloading state through the positioning module;
the cloud server acquires the weight and the carrying distance of the vehicle-mounted cargoes in each carrying period through the wireless communication module, and judges whether the carrying process in the carrying period is an effective carrying process or not; counting the carrying times of the effective carrying process of the vehicle, and the weight and carrying distance of the vehicle-mounted cargoes in all the effective carrying processes, and forming a vehicle workload list after being linked with the vehicle ID; and sending the vehicle workload list to a management terminal.
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