CN113836119A - Method and system for constructing load spectrum database of transfer case of crane - Google Patents
Method and system for constructing load spectrum database of transfer case of crane Download PDFInfo
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Abstract
The invention discloses a method and a system for constructing a load spectrum database of a transfer case of a crane, belonging to the technical field of cranes, wherein the method for constructing the load spectrum database of the transfer case of the crane comprises the following steps: acquiring load spectrum data of the transfer case of the single crane in the actual working process under the actual operating condition, and preprocessing the load spectrum data to obtain first load spectrum data; splicing the first load spectrum data of a plurality of cranes meeting given conditions according to a given data splicing rule to obtain second load spectrum data; and processing the second load spectrum data according to a given load spectrum compiling method, and finishing the construction of a load spectrum database of the transfer case of the crane. According to the load spectrum data of the crane under the actual operation working condition, the load spectrum data processing method is used for completing the construction of the load spectrum database of the transfer case of the crane, the authenticity of the data is ensured, and the accuracy of the load spectrum of the crane is improved.
Description
Technical Field
The invention belongs to the technical field of cranes, and particularly relates to a method and a system for constructing a load spectrum database of a transfer case of a crane.
Background
The all-terrain crane is a high-end product of crane machinery, has the advantages of high-speed running and high off-road performance, and is widely applied to the fields of major projects such as wind power, oil fields, petrochemicals and the like. The transfer case is a key core component of a chassis transmission system of the all-terrain crane, and the quality of the transfer case directly determines the performance and reliability of the whole crane. The reliability design of the all-terrain crane transfer case requires the load spectrum of the transfer case to be calculated and checked, and the accuracy of the load spectrum has great influence on the calculation and checking result. In the prior art, the load spectrum of the transfer case of the crane is acquired by an experimental method, namely, the load spectrum is acquired by relatively fixed vehicles, personnel and working environments through an experimental method, the experimental result is not random, and the actual working load of the transfer case of the crane cannot be truly reflected.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a method and a system for constructing a load spectrum database of a transfer case of a crane, wherein the load spectrum database is constructed according to load spectrum data of the crane under the actual operation working condition, so that the accuracy of a load spectrum is improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, a method for constructing a load spectrum database of a transfer case of a crane is provided, which comprises the following steps: acquiring load spectrum data of the transfer case of the single crane in the actual working process under the actual operating condition, and preprocessing the load spectrum data to obtain first load spectrum data; splicing the first load spectrum data of a plurality of cranes meeting given conditions according to a given data splicing rule to obtain second load spectrum data; and processing the second load spectrum data according to a given load spectrum compiling method, and finishing the construction of a load spectrum database of the transfer case of the crane.
Further, the preprocessing includes synchronization of the time axis of the data points, abnormal data patching, and invalid data removal.
Further, the splicing the first load spectrum data of the plurality of cranes meeting the given conditions according to the given data splicing rule to obtain second load spectrum data comprises: determining the number ratio of cranes in different areas, and further determining the number of target cranes in different areas; randomly intercepting first load spectrum data of each target crane in equal-length time periods, and sequentially splicing; and after splicing is finished, regenerating time axis sequences of all load spectrums according to the sampling frequency, and then synthesizing to obtain second load spectrum data.
Further, the given load spectrum compilation method comprises: classifying according to gear data points of the transfer case; output torque grading based on different working condition modes is carried out according to the output torque of the gearbox under different gear classes; counting the time ratio of each stage of output torque data; and summarizing and outputting the time ratio, the output torque grading and the rotating speed statistical results of the working condition modes.
Further, the classifying according to the gear data points of the transfer case includes: if the gear of the gearbox is neutral, judging the state of the whole vehicle according to the speed of the whole vehicle; if the gear of the gearbox is in reverse gear, judging the state of the whole vehicle according to the calculated speed ratio; if the gear of the gearbox is a forward gear and the speed of the whole vehicle is zero, the transfer case is a neutral gear, and the whole vehicle is in an upper vehicle hoisting operation state; and if the whole vehicle is in a forward running state, judging the state of the whole vehicle according to the calculated speed ratio.
Further, if the gearbox gear is neutral, then judge whole car state according to whole car speed, include: if the speed of the whole vehicle is zero, the whole vehicle is in a neutral gear parking state; and if the speed of the whole vehicle is not zero, the whole vehicle is in a neutral gear sliding state.
Further, if the gear of the gearbox is reverse gear, the state of the whole vehicle is judged according to the calculated speed ratio, and the method comprises the following steps: if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a low gear reversing state, namely the whole vehicle is in the low gear reversing state; otherwise, the transfer case is in a high-gear reversing state, namely the whole vehicle is in a high-gear reversing state.
Further, if the whole vehicle is in a forward running state, the state of the whole vehicle is judged according to the calculated speed ratio, and the method comprises the following steps: if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a low gear advancing state, namely the whole vehicle is in a low gear advancing state; otherwise, the transfer case is in a high-gear advancing state, and the whole vehicle is in a high-gear advancing state.
In a second aspect, there is provided a system for constructing a load spectrum database of a transfer case of a crane, comprising a data processing unit including: the first data processing module is used for acquiring load spectrum data of the transfer case of the single crane in the actual working process and preprocessing the load spectrum data to obtain first load spectrum data; the second data processing module is used for splicing the first load spectrum data of the plurality of cranes meeting the given conditions according to the given data splicing rule to obtain second load spectrum data; and the third data processing module is used for processing the second load spectrum data according to a given load spectrum compiling method and completing the construction of a load spectrum database of the transfer case of the crane.
Further, still include: the positioning unit is used for acquiring the position information of the crane; the whole vehicle power information acquisition unit is used for acquiring the operation parameters of the crane; the data processing unit acquires load spectrum data of the transfer case of the single crane in the actual working process from the data receiving unit of the internet of things.
Further, the position information includes geographical position information, speed information and a crane model of the crane.
Further, the operating parameters include engine operating state information, transmission gear information, transmission output speed and torque information.
Furthermore, the positioning unit and the whole vehicle power information acquisition unit are connected with the data transmission unit through communication cables; the data sending unit is in wireless communication connection with the Internet of things data receiving unit; the data receiving unit of the internet of things is connected with the data processing unit through a local area network.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the load spectrum data of the crane under the actual operation working condition, the load spectrum data is processed according to the given data splicing rule and the given load spectrum compiling method, so that the construction of a load spectrum database of the transfer case of the crane is completed, the authenticity of the data is ensured, and the accuracy of the load spectrum is improved;
(2) the method is integrated with the existing Internet of things data platform, can be popularized to all vehicles on the premise of hardly increasing the cost, is convenient for continuous acquisition of load spectrum data, and ensures the sustainability of the method;
(3) according to the invention, based on actual operation mode data of the whole crane, a real-time operation working condition load sample of the crane is extracted, and a load spectrum framework of the transfer case of the all-terrain crane is designed, so that the completeness of load spectrum compilation is ensured;
(4) according to the load spectrum structure, the load spectrum compiling process and method are designed, so that the load spectrum compiling accuracy is improved;
(5) the invention designs a load spectrum data processing system, outputs a load spectrum result and ensures the convenience of load spectrum data statistics. After the load spectrum related data under different regional environments are continuously obtained, a load spectrum database of the all-terrain crane transfer case can be gradually constructed for carrying out intensity calculation and checking on key parts of the whole crane.
Drawings
FIG. 1 is a system structure schematic diagram of a construction system of a load spectrum database of a full-ground crane transfer case provided by an embodiment of the invention;
FIG. 2 is a main flow diagram of a method for constructing a load spectrum database of a full-ground crane transfer case, provided by an embodiment of the invention;
FIG. 3 is a schematic illustration of a rule for stitching different vehicle load data in an embodiment of the present invention;
FIG. 4 is a main flow schematic diagram of a transfer case load spectrum compiling method in the embodiment of the invention;
FIG. 5 is a schematic flow chart of the classification of gear patterns of load spectrum data of the transfer case in the embodiment of the invention;
FIG. 6 is a data processing flow of the load spectrum acquisition system of the transfer case of the all-terrain crane in the embodiment of the invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
as shown in fig. 1 to 6, a method for constructing a load spectrum database of a transfer case of a crane includes: acquiring load spectrum data of the transfer case of the single crane in the actual working process under the actual operating condition, and preprocessing the load spectrum data to obtain first load spectrum data; splicing the first load spectrum data of a plurality of cranes meeting given conditions according to a given data splicing rule to obtain second load spectrum data; and processing the second load spectrum data according to a given load spectrum compiling method, and finishing the construction of a load spectrum database of the transfer case of the crane.
As shown in fig. 1, the crane in this embodiment is an all-terrain crane, and the system for acquiring the load spectrum of the transfer case of the all-terrain crane is composed of a positioning unit (adopting a GPS or beidou positioning system), a whole vehicle power information acquisition unit, a data sending unit, an internet of things data receiving unit, a data processing unit, an engine, a gearbox, a transfer case, a drive axle and wheels. Wherein the engine, the gearbox, the transfer case, the drive axle and the wheels are connected through mechanical transmission; the whole vehicle power information acquisition unit is connected with the engine and the gearbox through a CAN bus; the positioning unit, the whole vehicle power information acquisition unit and the data sending unit are connected through a communication cable; the data sending unit is connected with the Internet of things data receiving unit through wireless transmission; the data receiving unit of the internet of things is connected with the data processing unit through a local area network.
The whole vehicle power information acquisition unit acquires the relevant information of the whole vehicle power in real time through a CAN bus, and mainly comprises: the engine working state, the gear information of the gearbox, the output rotating speed and the torque information of the gearbox. The positioning unit provides position information of the whole vehicle, moving speed of the vehicle and other information.
The flow of acquiring the load spectrum of the transfer case of the all-terrain crane is shown in FIG. 2.
And under the actual operation condition, load spectrum data of the transfer case of the single crane in the actual working process are obtained and preprocessed to obtain first load spectrum data.
(1) A whole vehicle power information acquisition unit is configured on the all-terrain crane, a load spectrum acquisition system of a transfer case of the all-terrain crane is built, and information such as position information, vehicle speed, engine working state, gearbox gear, output rotating speed and output torque of the whole vehicle is automatically and continuously acquired in real time.
(2) And (4) preprocessing load spectrum data. In order to ensure the accuracy of the load spectrum data processing result, the load spectrum data of the transfer case collected by a single vehicle needs to be preprocessed, so that the synchronization of time axes of all signal data points and the repair and removal of abnormal data are realized. The signals needing to be preprocessed comprise an engine rotating speed signal, a gearbox gear signal, a gearbox output torque signal, a gearbox output rotating speed signal, a vehicle moving speed signal and a vehicle position signal.
And selecting a time axis of the engine speed signal as a basic time axis, and judging abnormal values according to a reasonable numerical range of each signal. If a single time point of the signal is beyond the normal value range, the value of the time point is considered as an interference value, and the normal value of the latest time point is adopted for replacement. When the rotating speed of the engine is 0, the vehicle is considered to be in a flameout state, the whole vehicle is in a stop state at the moment, and all signal data corresponding to the time point are removed.
And splicing the first load spectrum data of the plurality of cranes meeting the given conditions according to the given data splicing rule to obtain second load spectrum data.
(3) Designing a process for splicing load spectrum data of the transfer case of the all-terrain crane, and splicing the load spectrum data of different vehicles. The load spectrum data splicing flow is shown in fig. 3, and the detailed steps are as follows.
And (3-1) determining the vehicle occupation ratio in different areas. The all-terrain cranes in different areas have different working environments, and the difference of the working environments inevitably causes the difference of the power output of the whole crane. In order to make the load spectrum data of the transfer case as accurate as possible, the collected data must comprise vehicles in different regions and the proportion of the vehicles in different regions;
the determination of the proportion of the vehicles in different areas is mainly characterized in that the proportion of the vehicle sales in different areas is sorted out by analyzing early-stage market sales data, and the data is used as the proportion of the vehicles in different areas.
And (3-2) determining the number of target vehicles. The load spectrum data processed by the invention is based on big data statistics theory, so that the more sample vehicles, the more accurate the final result is, but the higher the cost is. The number of target vehicles is determined primarily based on the size of the vehicle samples collected in the internet of things database. The number of target vehicles in different regions is determined by the total sample number multiplied by the proportion of the vehicles in the region.
(3-3) intercepting load spectrum data of a single vehicle: and (3) randomly intercepting the load spectrum data read in the part (2) in time periods with equal length respectively, wherein the start and stop time of the time axis of each vehicle load spectrum after interception can be different, but the time interval lengths of the load spectrums must be equal.
(3-4) splicing different vehicle load spectrum data: and (4) splicing all the vehicle load spectrum data intercepted in the part (3-3) in sequence. And after splicing is completed, regenerating a time axis sequence of all load spectrums according to the sampling frequency, wherein the time axis sequence interval is a time interval related to the sampling frequency.
(3-5) output of the synthesized load spectrum: and after the load spectrums of all the target vehicles are spliced, the synthesized load spectrum data of all the target vehicles can be output.
And processing the second load spectrum data according to a given load spectrum compiling method, and finishing the construction of a load spectrum database of the transfer case of the crane.
(4) And formulating a transfer case load spectrum compiling method, and calculating to obtain the load spectrum data of the transfer case of the all-terrain crane. The load spectrum data processing flow is shown in fig. 4, and the detailed steps are as follows.
And (4-1) carrying out data classification processing according to the load spectrum structure. Because the transfer case generally divides into three gears 0, 1, 2, wherein: 0 represents a neutral gear and is also a power takeoff gear for the upper vehicle hoisting operation; 1 represents a low-speed driving gear; 2 represents a high-speed driving gear; when the load spectrum data of the transfer case is compiled, the gear data points are classified firstly, and the classification process is shown as figure 5 (in figure 5, i represents the calculated speed ratio, i representsIs low inThe speed ratio of the low gear of the transfer case) specifically comprises the following steps:
and (4-1-1) judging the working state of the gearbox of the whole vehicle according to whether the gear of the gearbox is 0 (the gearbox comprises a neutral gear, a forward gear and a reverse gear, wherein 0 represents the neutral gear). If the gear of the gearbox is 0, performing the step (4-1-2), otherwise, performing the step (4-1-3) for judgment;
(4-1-2) judging whether the speed of the whole vehicle is 0 or not according to the information of the moving speed of the vehicle in the positioning unit, and if so, enabling the whole vehicle to be in a neutral parking state. Otherwise, the whole vehicle is in a neutral sliding state;
and (4-1-3) judging whether the whole vehicle is in a reverse state or not according to whether the gear of the gearbox is a reverse gear or not. If the gearbox is in a reverse gear, performing the step (4-1-4), otherwise, performing the step (4-1-5) for judgment;
(4-1-4) calculating the speed ratio information of the transfer case at the moment according to the information of the vehicle moving speed, the information of the output rotating speed of the gearbox, the speed ratio of a drive axle and the size specification of wheels in the positioning unit, and if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a '1' low gear backing state; otherwise, the transfer case is in a 2 high-speed gear reversing state;
(4-1-5) judging whether the speed of the whole vehicle is 0 or not according to the information of the moving speed of the vehicle in the positioning unit, if so, the gear of the transfer case is 0, and the whole vehicle is in an upper vehicle hoisting operation state. Otherwise, judging in the step (4-1-6);
(4-1-6) calculating the speed ratio information of the transfer case at the moment according to the information of the vehicle moving speed, the information of the output rotating speed of the gearbox, the speed ratio of a drive axle and the size specification of wheels in the positioning unit, and if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a 1 low gear advancing state; otherwise, the transfer case is in a "2" high-speed forward state.
And (4-2) carrying out torque grading processing on the gear mode data. Grading is carried out according to the numerical value of the output torque of the gearbox (namely the input torque of the transfer case) under different gears, and the gearbox does not theoretically output power under the neutral parking state and the neutral sliding state, so the data of the 2 working condition modes are directly subjected to the step (4-4) time ratio statistics. And carrying out torque grading on 5 working condition modes of low-gear reversing, high-gear reversing, boarding hoisting operation, low-gear advancing and high-gear advancing.
The grading is according to equal torque section, all torque values are rounded according to the rounding principle. After the torque grade is determined, data points are divided into torque sections according to the magnitude of the output torque value of the gearbox of each data point, and the mode of all torque values in the torque section is used as the equivalent torque of the torque section for the data points in the same torque section.
And (4-3) carrying out normalization processing on the torque data and the rotating speed of each stage. All torque values are rounded according to a rounding principle, and the mode of the gearbox output rotating speed of all data points in each torque section is calculated to be the equivalent rotating speed of the torque section.
And (4-4) carrying out time ratio statistics on torque data of each stage. The times for all data points in each torque segment are summed and divided by the sum of the times for all gear modes. Because the data sampling frequency is a fixed value, the time ratio is equal to the ratio of the number of data points in the torque section in the gear mode to the number of data points in all the working condition modes.
And (4-5) outputting the load spectrum result. And summarizing and outputting the time ratio, the torque grading and the rotating speed normalization statistical results of all the working condition modes.
(5) And operating the load spectrum data processing system and outputting a load spectrum result. The steps executed by the all-terrain crane transfer case load spectrum acquisition system are shown in FIG. 6, and the detailed steps are as follows.
And (5-1) starting and operating the load spectrum data processing system.
And (5-2) determining the vehicle to be analyzed and the sales area information, and determining the target vehicle. The sales area information includes a name of a sales area, a location, sales volume information of the area, and the like, and the vehicle information includes information such as a vehicle model, a serial number, a vehicle state, and the like.
And (5-3) loading the load data of the target vehicle.
And (5-4) executing load spectrum data processing and outputting a load spectrum processing result.
(6) And continuously acquiring load spectrum related data of the all-terrain crane in different regional environments, and gradually constructing a load spectrum database of the all-terrain crane transfer case.
According to the load spectrum data of the crane under the actual operation working condition, the data are processed according to the given data splicing rule and the given load spectrum compiling method, so that the construction of a load spectrum database of the transfer case of the crane is completed, the authenticity of the data is ensured, and the accuracy of the load spectrum is improved; according to the embodiment, a crane real-time operation working condition load sample is extracted based on the actual operation mode data of the whole crane, and the load spectrum framework of the transfer case of the all-ground crane is designed, so that the completeness of load spectrum compilation is ensured; according to the load spectrum structure, the load spectrum compiling process and method are designed, and the load spectrum compiling accuracy is improved.
Example two:
based on the method for constructing the load spectrum database of the transfer case of the crane, the embodiment provides a system for constructing the load spectrum database of the transfer case of the crane, which comprises a data processing unit, wherein the data processing unit comprises: the first data processing module is used for acquiring load spectrum data of the transfer case of the single crane in the actual working process and preprocessing the load spectrum data to obtain first load spectrum data; the second data processing module is used for splicing the first load spectrum data of the plurality of cranes meeting the given conditions according to the given data splicing rule to obtain second load spectrum data; and the third data processing module is used for processing the second load spectrum data according to a given load spectrum compiling method and completing the construction of a load spectrum database of the transfer case of the crane.
This embodiment still includes: the positioning unit is used for acquiring the position information of the crane; the whole-vehicle power information acquisition unit is used for acquiring the operation parameters of the all-terrain crane; the data processing unit acquires load spectrum data of the transfer case of the single crane in the actual working process from the data receiving unit of the internet of things. The position information comprises geographical position information, speed information and crane model of the crane. The operation parameters comprise engine working state information, gearbox gear information, gearbox output rotating speed and torque information. The positioning unit and the whole vehicle power information acquisition unit are connected with the data sending unit through communication cables; the data sending unit is in wireless communication connection with the Internet of things data receiving unit; the data receiving unit of the internet of things is connected with the data processing unit through a local area network.
The method is integrated with the existing Internet of things data platform, can be popularized to all vehicles on the premise of hardly increasing the cost, is convenient for continuous acquisition of load spectrum data, and ensures the sustainability of the method; the load spectrum data processing system is designed in the embodiment, the load spectrum result is output, and the convenience of load spectrum data statistics is guaranteed. After the load spectrum related data under different regional environments are continuously obtained, a load spectrum database of the all-terrain crane transfer case can be gradually constructed for carrying out intensity calculation and checking on key parts of the whole crane.
For the whole CAN signal data acquisition and storage device installed on the all-terrain crane in the embodiment, the independent sensor data acquisition and storage device CAN be installed on the all-terrain crane instead.
In the embodiment, a transfer case gear state recognition model is constructed according to information such as the engine speed information of the whole machine, the gear information of a gearbox, the moving speed of the whole machine, the output rotating speed of the gearbox, the output torque of the gearbox, the speed ratio of a drive axle, the size specification of wheels and the like, a load spectrum framework is divided into 7 gear modes, any relevant signal combination can be selected, and the load spectrum framework is divided into a plurality of gear modes.
For the data points in the same torque segment of the present embodiment, the mode of all torque values in the torque segment is used as the equivalent torque of the torque segment, and the data points in the same torque segment may be selected to be replaced by any statistical value such as the minimum value, the average value, the maximum value, the median, and the like of the torque distribution in the torque segment.
In the embodiment, the mode of the output rotation speed of the gearbox of all data points in the torque section is used as the equivalent rotation speed of the torque section, and any statistical value such as the minimum value, the average value, the maximum value, the median and the like of the rotation speed distribution in the torque section can be used for replacing the mode.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (13)
1. A method for constructing a load spectrum database of a transfer case of a crane is characterized by comprising the following steps:
acquiring load spectrum data of the transfer case of the single crane in the actual working process under the actual operating condition, and preprocessing the load spectrum data to obtain first load spectrum data;
splicing the first load spectrum data of a plurality of cranes meeting given conditions according to a given data splicing rule to obtain second load spectrum data;
and processing the second load spectrum data according to a given load spectrum compiling method, and finishing the construction of a load spectrum database of the transfer case of the crane.
2. The method for constructing the load spectrum database of the transfer case of the crane as claimed in claim 1, wherein the preprocessing comprises synchronization of a data point time axis, abnormal data repairing and invalid data removing.
3. The method for constructing the load spectrum database of the transfer case of the crane as claimed in claim 1, wherein the step of splicing the first load spectrum data of a plurality of cranes meeting given conditions according to given data splicing rules to obtain second load spectrum data comprises the following steps:
determining the number ratio of cranes in different areas, and further determining the number of target cranes in different areas;
randomly intercepting first load spectrum data of each target crane in equal-length time periods, and sequentially splicing;
and after splicing is finished, regenerating time axis sequences of all load spectrums according to the sampling frequency, and then synthesizing to obtain second load spectrum data.
4. The method of constructing a database of crane transfer case load spectra as claimed in claim 1 wherein said given load spectra compilation method comprises:
classifying according to gear data points of the transfer case;
output torque grading based on different working condition modes is carried out according to the output torque of the gearbox under different gear classes;
counting the time ratio of each stage of output torque data;
and summarizing and outputting the time ratio, the output torque grading and the rotating speed statistical results of the working condition modes.
5. The method for constructing the load spectrum database of the transfer case of the crane as claimed in claim 4, wherein the classifying according to the gear data points of the transfer case comprises:
if the gear of the gearbox is neutral, judging the state of the whole vehicle according to the speed of the whole vehicle;
if the gear of the gearbox is in reverse gear, judging the state of the whole vehicle according to the calculated speed ratio;
if the gear of the gearbox is a forward gear and the speed of the whole vehicle is zero, the transfer case is a neutral gear, and the whole vehicle is in an upper vehicle hoisting operation state;
and if the whole vehicle is in a forward running state, judging the state of the whole vehicle according to the calculated speed ratio.
6. The method for constructing the load spectrum database of the transfer case of the crane according to claim 5, wherein if the gear of the gearbox is neutral, the state of the whole crane is judged according to the speed of the whole crane, and the method comprises the following steps:
if the speed of the whole vehicle is zero, the whole vehicle is in a neutral gear parking state;
and if the speed of the whole vehicle is not zero, the whole vehicle is in a neutral gear sliding state.
7. The method for constructing the load spectrum database of the transfer case of the crane according to claim 5, wherein if the gear of the gearbox is a reverse gear, the state of the whole crane is judged according to the calculated speed ratio, and the method comprises the following steps:
if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a low gear reversing state, namely the whole vehicle is in the low gear reversing state; otherwise, the transfer case is in a high-gear reversing state, namely the whole vehicle is in a high-gear reversing state.
8. The method for constructing the load spectrum database of the transfer case of the crane according to claim 5, wherein if the whole vehicle is in a forward running state, the state of the whole vehicle is judged according to the calculated speed ratio, and the method comprises the following steps:
if the calculated speed ratio is equal to the speed ratio of the low gear of the transfer case, the transfer case is in a low gear advancing state, namely the whole vehicle is in a low gear advancing state; otherwise, the transfer case is in a high-gear advancing state, and the whole vehicle is in a high-gear advancing state.
9. A construction system of a load spectrum database of a transfer case of a crane is characterized by comprising a data processing unit, wherein the data processing unit comprises:
the first data processing module is used for acquiring load spectrum data of the transfer case of the single crane in the actual working process and preprocessing the load spectrum data to obtain first load spectrum data;
the second data processing module is used for splicing the first load spectrum data of the plurality of cranes meeting the given conditions according to the given data splicing rule to obtain second load spectrum data;
and the third data processing module is used for processing the second load spectrum data according to a given load spectrum compiling method and completing the construction of a load spectrum database of the transfer case of the crane.
10. The system of claim 9, further comprising:
the positioning unit is used for acquiring the position information of the crane;
the whole vehicle power information acquisition unit is used for acquiring the operation parameters of the crane;
the data processing unit acquires load spectrum data of the transfer case of the single crane in the actual working process from the data receiving unit of the internet of things.
11. The system of claim 10, wherein the location information includes crane geographical location information, crane speed information and crane model number.
12. The system of claim 10, wherein the operational parameters include engine operating condition information, transmission gear information, transmission output speed and torque information.
13. The system for constructing the load spectrum database of the transfer case of the crane as claimed in claim 10, wherein the positioning unit and the whole vehicle power information acquisition unit are connected with the data transmission unit through communication cables; the data sending unit is in wireless communication connection with the Internet of things data receiving unit; the data receiving unit of the internet of things is connected with the data processing unit through a local area network.
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