CN113673815A - Mine car scheduling method and device based on vehicle data processing - Google Patents
Mine car scheduling method and device based on vehicle data processing Download PDFInfo
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Abstract
The invention discloses a mine car scheduling method and device based on vehicle data processing, relates to the technical field of data processing, and mainly aims to solve the problem that the existing mine car is poor in efficiency and effectiveness when data processing is carried out. The method comprises the following steps: acquiring mine car vehicle data of a vehicle-mounted terminal, wherein the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car; counting the performance consumption data of the mine car according to the equipment transportation data; extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data; and feeding the adjusted scheduling strategy back to the controller of the mine car so as to enable the mine car to carry out transportation control according to the adjusted scheduling strategy.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a mine car scheduling method and device based on vehicle data processing.
Background
In order to realize intelligent scheduling in the mining process of the strip mine and improve the monitoring accuracy of the mining condition in the mining process of the mine car, the intelligent scheduling of the strip mine car generally needs to acquire equipment transportation data in the mine car, and then the equipment transportation data are transmitted to a data processing end through a wireless communication network to be processed by data statistics and the like.
At present, the processing target of the collected equipment transportation data in the mine car only comprises the transportation trip number, the distance and other relevant characteristics of the distance, but the transportation trip number and the distance are only processed to be equal to the relevant characteristics of the distance, so that the analysis requirement on the energy consumption of the mine car cannot be met, the effectiveness of the mine car scheduling based on vehicle data processing is greatly reduced, and the accuracy of intelligent scheduling of the mine car is influenced.
Disclosure of Invention
In view of the above, the invention provides a mine car scheduling method and device based on vehicle data processing, and mainly aims to solve the problem of low scheduling accuracy caused by poor data processing efficiency of the conventional mine car searching.
According to one aspect of the invention, a mine car scheduling method based on vehicle data processing is provided, and comprises the following steps:
acquiring mine car vehicle data of a vehicle-mounted terminal, wherein the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
counting the performance consumption data of the mine car according to the equipment transportation data;
extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data;
and feeding the adjusted scheduling strategy back to the controller of the mine car so as to enable the mine car to carry out transportation control according to the adjusted scheduling strategy.
Further, before extracting the scheduling policy matching the mine car based on the scheduled operation data, the method further comprises:
acquiring identity identification information, an operation target, operator information and vehicle attribute information of the mine car;
and generating a scheduling strategy matched with the identity information, the operation target, the operator information and the vehicle attribute information according to the running route of the mine car, the empty car speed and the heavy car speed, wherein the scheduling strategy is used for representing the running content set by the scheduling operation target and the scheduling operation time target which is expected to be executed when the mine car is positioned at the transport node of the mine car.
Further, the scheduling operation data includes scheduling operation data and scheduling operation time data, and the adjusting the scheduling policy based on the energy consumption scheduling mapping relationship and the performance consumption data includes:
and searching operation adjustment information and/or time adjustment information matched with the performance consumption data from an energy consumption scheduling mapping relation, and updating and adjusting a scheduling operation target and a scheduling operation time target in the scheduling strategy by combining the scheduling operation data and the scheduling operation time data, wherein the energy consumption scheduling mapping relation stores the operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical value ranges.
Further, the equipment transportation data comprises equipment transportation time, vehicle distance and loading and unloading oil consumption, and the counting of the performance consumption data of the mine car according to the equipment transportation data comprises:
analyzing the loading time and the unloading time in the equipment transportation time according to the mine car transportation node;
verifying the empty transport distance and the heavy transport distance in the vehicle transport distance by combining the loading time and the unloading time;
and if the empty and heavy vehicle transport distances pass the verification, counting the performance consumption data of the mine car based on the loading and unloading oil consumption, wherein the performance consumption data is characterized in that the mine car completes the performance consumption of the mine car transport node once.
Further, the verifying the empty and heavy vehicle ranges in the vehicle ranges by combining the loading time and the unloading time comprises:
acquiring the empty vehicle speed and the heavy vehicle speed of the mine car, and calculating a loading position and an unloading position by combining the loading time and the unloading time;
comparing the empty vehicle transport distance and the heavy vehicle transport distance respectively based on the loading position and the unloading position;
and if the difference obtained by comparison is smaller than or equal to a preset distance threshold, determining that the empty distance and the heavy distance pass the verification.
Further, after feeding the adjusted scheduling policy back to the controller of the mine car, the method further comprises:
predicting the performance consumption data based on a trained energy consumption prediction model to obtain a performance consumption prediction result, wherein the energy consumption prediction model is trained based on a performance consumption training set marked with an abnormal performance consumption state;
and if the performance consumption prediction result is an abnormal performance consumption state, generating abnormal alarm information containing the equipment transportation data and the scheduling operation data so as to detect the mine car.
Further, the acquiring of the mine car vehicle data of the vehicle-mounted terminal comprises:
sending a data acquisition request to the vehicle-mounted terminal according to a preset time interval;
calling a data firewall to perform security detection on the mine car data received through the CAN bus, wherein the data firewall is used for performing security network detection inside a local area network on the transmitted data;
and if the mine car data is in a safe state, performing warehouse-by-warehouse storage on the mine car data according to the identity identification information.
According to another aspect of the invention, there is provided a mine car dispatching device based on vehicle data processing, comprising:
the system comprises an acquisition module, a scheduling module and a display module, wherein the acquisition module is used for acquiring mine car vehicle data of a vehicle-mounted terminal, and the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
the counting module is used for counting the performance consumption data of the mine car according to the equipment transportation data;
the adjusting module is used for extracting a scheduling strategy matched with the mine car based on the scheduling operation data and adjusting the scheduling strategy according to the energy consumption scheduling mapping relation and the performance consumption data;
and the feedback module is used for feeding the adjusted scheduling strategy back to the controller of the mine car so as to control the transportation of the mine car according to the adjusted scheduling strategy.
Further, the apparatus further comprises: a module for generating a plurality of modules,
the acquisition module is also used for acquiring the identity identification information, the running target, the operator information and the vehicle attribute information of the mine car;
the generating module is used for generating a scheduling strategy matched with the identity information, the operation target, the operator information and the vehicle attribute information according to the running route of the mine car, the empty car speed and the heavy car speed, and the scheduling strategy is used for representing the running content set by the scheduling operation target and the scheduling operation time target which is expected to be executed when the mine car is positioned at the transport node of the mine car.
Further, the scheduled operation data comprises scheduled operation data and scheduled operation time data,
the adjusting module is specifically configured to search operation adjustment information and/or time adjustment information that matches the performance consumption data from an energy consumption scheduling mapping relationship, and update and adjust a scheduling operation target and a scheduling operation time target in the scheduling policy by combining the scheduling operation data and the scheduling operation time data, where the energy consumption scheduling mapping relationship stores the operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical value ranges.
Further, the equipment transportation data includes equipment transportation time, vehicle distance, and oil consumption for loading and unloading, and the statistical module includes:
the analysis unit is used for analyzing the loading time and the unloading time in the equipment transportation time according to the mine car transportation node;
the verification unit is used for verifying the empty transport distance and the heavy transport distance in the vehicle transport distance by combining the loading time and the unloading time;
and the counting unit is used for counting the performance consumption data of the mine car based on the loading and unloading oil consumption if the empty transport distance and the heavy transport distance pass the verification, wherein the performance consumption data is characterized in that the mine car completes the performance consumption generated by the mine car transportation node once.
Further, the verification module includes:
the acquisition unit is used for acquiring the empty vehicle speed and the heavy vehicle speed of the mine car and calculating a loading position and an unloading position by combining the loading time and the unloading time;
the comparison unit is used for comparing the empty vehicle transport distance and the heavy vehicle transport distance respectively based on the loading position and the unloading position;
and the determining unit is used for determining that the empty vehicle transport distance and the heavy vehicle transport distance pass the verification if the difference obtained by comparison is smaller than or equal to a preset transport distance threshold value.
Further, the apparatus further comprises: a processing module for processing the received data,
the processing module is used for predicting the performance consumption data based on the trained energy consumption prediction model to obtain a performance consumption prediction result, and the energy consumption prediction model is trained based on a performance consumption training set marked with an abnormal performance consumption state;
and the generating module is further used for generating abnormal alarm information including the equipment transportation data and the scheduling operation data if the performance consumption prediction result is in an abnormal performance consumption state, so that the mine car can be detected.
Further, the obtaining module comprises:
the sending unit is used for sending a data acquisition request to the vehicle-mounted terminal according to a preset time interval;
the calling unit is used for calling a data firewall to perform security detection on the mine car data received through the CAN bus, and the data firewall is used for performing security network detection inside the local area network on the transmitted data;
and the storage unit is used for storing the mine car data in a database according to the identity information if the mine car data is in a safe state.
According to yet another aspect of the present invention, a storage medium is provided having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the vehicle data processing based mine car scheduling method as described above.
According to still another aspect of the present invention, there is provided a terminal including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the mine car scheduling method based on the vehicle data processing.
By the technical scheme, the technical scheme provided by the embodiment of the invention at least has the following advantages:
the invention provides a mine car scheduling method and device based on vehicle data processing, compared with the prior art, the mine car scheduling method and device have the advantages that mine car vehicle data of a vehicle-mounted terminal are obtained, and the mine car vehicle data comprise equipment transportation data and scheduling operation data in the running process of a mine car; counting the performance consumption data of the mine car according to the equipment transportation data; extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data; the adjusted scheduling strategy is fed back to the controller of the mine car, so that the mine car is controlled to transport according to the adjusted scheduling strategy, the diversity requirement of mine car energy consumption analysis is greatly met, the mine car scheduling effectiveness based on vehicle data processing is realized, and the accuracy and the efficiency of intelligent scheduling based on mine car vehicle data are improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a mine car scheduling method based on vehicle data processing according to an embodiment of the invention;
FIG. 2 is a schematic structural diagram of an intelligent dispatching system for mine cars according to an embodiment of the invention;
FIG. 3 is a flow chart of another vehicle data processing-based mine car scheduling method provided by an embodiment of the invention;
FIG. 4 is a flow chart of yet another vehicle data processing based mine car scheduling method provided by an embodiment of the present invention;
FIG. 5 is a flow chart of yet another method for scheduling mining vehicles based on vehicle data processing according to an embodiment of the present invention;
FIG. 6 is a block diagram illustrating a vehicle data processing-based car dispatching device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a mine car scheduling method based on vehicle data processing, and as shown in FIG. 1, the method comprises the following steps:
101. and acquiring the mine car data of the vehicle-mounted terminal.
In the embodiment of the invention, as shown in the structural schematic diagram of the intelligent dispatching system for the mine cars shown in FIG. 2, each mine car is provided with a unique corresponding vehicle-mounted terminal for collecting various data generated in the transportation process of the mine car, and the current execution terminal is used as a mine car data processing system and is in wireless communication with the vehicle-mounted terminals of the mine cars, so that the transmitted vehicle data of the mine cars is received. The mine car vehicle data comprises equipment transportation data and scheduling operation data in the mine car operation process, the equipment transportation data comprises equipment transportation time, vehicle distance and loading and unloading oil consumption, and the scheduling operation data comprises scheduling operation data and scheduling operation time data. The equipment transportation time comprises but is not limited to empty vehicle time, loading waiting time, entering time, leaving time, unloading waiting time, loading time and unloading time generated by vehicles in the transportation process, the vehicle distance comprises but is not limited to empty vehicle distance and heavy vehicle distance, the loading and unloading oil consumption is the oil consumption of the loading vehicle and the oil consumption of the unloading vehicle, the loading and unloading oil consumption in the mine car is an accumulated value based on an engine oil nozzle on the mine car, meanwhile, the oil consumption of the unloading vehicle is reduced by the oil consumption of the loading vehicle to obtain the oil consumption during the driving of the heavy vehicle, and the direction is reduced when the vehicle is in idle running. The scheduling operation data is data generated when a preset scheduling operation target is executed, the scheduling operation target includes but is not limited to a route, start-stop time adjustment, mine car transportation speed change instruction, operation operators and the like, and the scheduling operation time data is time in the process of executing the scheduling operation target.
It should be noted that, during the transportation process of the mine car, the intelligent control transportation can be performed through an intelligent control system in the mine car, and the mine car can also be manually operated based on mine car operators, so that the mine car can be freely switched during the mining process, and the intelligent scheduling can be realized.
102. And counting the performance consumption data of the mine car according to the equipment transportation data.
In the embodiment of the invention, after the current execution end acquires the equipment transportation data, the performance consumption of the mine car can be reflected by the equipment transportation data, so the performance consumption data of the mine car is counted based on the equipment transportation data. The characteristic of the performance consumption data is that the mine car completes the performance consumption of the mine car transportation node once, the performance consumption data can be oil quantity or electric quantity, if the mine car transportation node is completed once, the whole process from the empty load to the heavy load of the mine car to complete the transportation once is completed, the performance consumption at the moment can be obtained by calculating the difference between the oil consumption when the current unloading is completed and the oil consumption when the last unloading is completed, and the embodiment of the invention is not particularly limited.
103. And extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to the energy consumption scheduling mapping relation and the performance consumption data.
For the embodiment of the invention, different mine cars are suitable for different scheduling strategies, and scheduling operation data generated in the scheduling operation process can influence the adjustment of the scheduling strategies, for example, different scheduling strategies are used by different time data aiming at different mine cars, and different scheduling operation data are obtained by different mine cars under different scheduling strategies, so that the scheduling strategies matched with the mine cars are extracted based on the scheduling operation data. Meanwhile, the scheduling strategy is adjusted by combining the energy consumption scheduling mapping relation and the calculated performance energy consumption data, and the energy consumption scheduling mapping relation stores operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical ranges, so that the operation adjustment information and/or the time adjustment information are determined based on the numerical range corresponding to the performance consumption data.
For example, the performance energy consumption data is 200ml, the original scheduling policy is the speed of the mine car driving route 1 is a, the operation adjustment data corresponding to 150-300ml in the energy consumption scheduling mapping relation is the form route 2, the speed is b, the scheduling policy is adjusted to the mine car form route 2, and the speed is b.
104. And feeding back the adjusted scheduling strategy to a controller of the mine car.
For the embodiment of the invention, the current execution end is a system end with a server function, so that after the scheduling strategy is adjusted, in order to enable the mine car to transport based on the adjusted scheduling strategy, thereby realizing the effectiveness of mine car scheduling based on vehicle data processing, the adjusted scheduling is fed back to the controller of the mine car, so that the mine car can carry out transport control according to the adjusted scheduling strategy.
It should be noted that the on-board terminals in the mine car may include controllers that perform control functions, or the controllers may be separately configured in the mine car so that independent operation of each functional module of the mine car is not affected.
For further explanation and limitation of embodiments of the present invention, as illustrated in FIG. 3, the equipment transportation data includes equipment transportation time, vehicle haul distance, and load/unload oil consumption, and step 102 of accounting for performance consumption data of the mine cars based on the equipment transportation data includes: 1021. analyzing the loading time and the unloading time in the equipment transportation time according to the mine car transportation node; 1022. verifying the empty transport distance and the heavy transport distance in the vehicle transport distance by combining the loading time and the unloading time; 1023. and if the empty and heavy vehicle transport distances pass the verification, counting the performance consumption data of the mine car based on the loading and unloading oil consumption.
In the embodiment of the invention, in order to meet the requirement of accurate analysis of performance consumption data, the empty wagon distance and the heavy wagon distance in the vehicle distance are verified by analyzing the empty wagon time, the loading waiting time, the entry time, the exit time, the unloading waiting time, the loading time and the unloading time in the transportation time of the equipment according to the mine car transportation node, and then combining the loading time and the unloading time, so that the accuracy of data processing is improved. The mine car transportation node is used for representing steps required for executing different operation processes in the process of mine car transportation, such as loading, unloading, mine car transportation and the like in the process of mine car transportation, so that empty time, loading waiting time, entrance time, exit time, unloading waiting time, loading time and unloading time in the transportation time of the equipment can be analyzed according to the mine car transportation node, and the performance consumption data represent performance consumption generated by the mine car transportation node after a single mine car finishes.
After the empty and heavy truck haul is verified based on the loading and unloading time, if the verification is passed, the transportation process corresponding to the loading and unloading is normal, and therefore, the performance consumption data of the mine car is counted based on the loading and unloading oil consumption. Specifically, the performance consumption data is the unloading oil consumption corresponding to the current unloading time-the unloading oil consumption corresponding to the last unloading time, and is used as the one-way oil consumption in the one-time circulation transportation process.
In the embodiment of the present invention, for further explanation and limitation, the verifying the empty and heavy haul distances in the vehicle haul distance by combining the loading time and the unloading time includes: acquiring the empty vehicle speed and the heavy vehicle speed of the mine car, and calculating a loading position and an unloading position by combining the loading time and the unloading time; comparing the empty vehicle transport distance and the heavy vehicle transport distance respectively based on the loading position and the unloading position; and if the difference obtained by comparison is smaller than or equal to a preset distance threshold, determining that the empty distance and the heavy distance pass the verification.
Because the performance consumption data is influenced by the unloading time, the loading time and other factors, in order to enable the calculation of the performance consumption data to be more accurate, the empty vehicle speed and the heavy vehicle speed are obtained, the loading position and the unloading position are calculated by combining the loading time and the unloading time, namely, the distance is calculated by utilizing the mathematical relationship among the time, the speed and the distance, namely, the loading position and the unloading position are calculated. And then comparing the empty and heavy vehicle carrying distances based on the loading position and the unloading position respectively. If the difference obtained by comparison is smaller than or equal to the preset distance threshold, the timing and the distance metering are more accurate, and the empty distance and the heavy distance can be determined to pass the verification. In addition, the preset distance threshold is a minimum error preset according to the transportation distance, and may be, for example, 0.5 meter, 2 meters, and the like, and the embodiment of the present invention is not specifically limited.
It should be noted that if the difference obtained by the comparison is greater than the preset distance threshold, it indicates that the loading distance and the unloading distance do not correspond to the loading time and the unloading time, and an error of the acquired equipment transportation data is large due to an abnormality in the transportation process, and at this time, an alarm message is generated for the empty distance and the heavy distance which do not pass the verification and is output.
For further explanation and limitation, in an embodiment of the invention, as shown in fig. 4, before the extracting a scheduling policy matching the mine car based on the scheduled operation data, the method further comprises: 201. acquiring identity identification information, an operation target, operator information and vehicle attribute information of the mine car; 202. and generating a scheduling strategy matched with the identity identification information, the running target, the operator information and the vehicle attribute information according to the running route of the mine car, the empty car speed and the heavy car speed.
In order to improve the efficiency of dispatching mine cars and meet the requirement of dispatching diversity of different mine cars, a dispatching strategy for representing the dispatching operation target and the dispatching operation time target which are expected to be executed when the mine cars are positioned at the mine car transportation nodes is generated. The scheduling strategy is used for representing scheduling operation targets expected to be executed when the mine car is located at a mine car transportation node and operation contents set by the scheduling operation time targets, the scheduling operation targets include but are not limited to changing routes, adjusting start-stop time, indicating that the mine car changes transportation speed, operating operators and the like, the scheduling operation time targets are time points expected to execute the scheduling operation targets, generally, the scheduling operation time targets and the obtained scheduling operation time data can be the same time content or different, and the embodiment of the invention is not particularly limited. In addition, different mine cars are provided with identity identification information belonging to the mine cars as unique identifications, the operation targets are used for representing the expected transportation distance, duration, speed, mineral product transportation and the like of the mine cars, the operator information is the identity information of mine car drivers, and the vehicle attribute information is the attribute characteristics of the mine cars, such as the models of hardware equipment and software systems of the mine cars and the like, representing the vehicles.
It should be noted that, because different running targets, different mine cars, different operators, and different types of mine cars may be suitable for different running routes of the mine cars, empty car speeds, and heavy car speeds, a scheduling policy matching the running targets, the operator information, and the vehicle attribute information may be generated according to the three characteristics of the running routes of the mine cars, the empty car speeds, and the heavy car speeds, so as to represent scheduling operation targets and scheduling operation time targets expected to be executed when the mine cars are at the transportation nodes of the mine cars. Specifically, the mine car transportation operation standard relationship pre-recorded by the operator can be used as a basis, namely, the mine car transportation operation standard relationship records identification information, operation targets, operator information and vehicle attribute information respectively corresponding to different mine car operation routes, empty car speeds and heavy car speeds, so as to generate a scheduling strategy. For example, the tram car travel route comprises A, B, the empty car speed of route a is 20km/h-40km/h, the empty car speed of route b is 38km/h, the heavy car speed of route a is 25km/h-35km/h, the heavy car speed of route a is 30km/h, all the tram car identification information corresponds to tram cars 1 and 2, the travel targets comprise tram cars 1-transported distance 100 km-speed 20km/h-40km/h, tram cars 2-transported distance 50 km-speed 25km/h-35km/h, respectively, the operator information comprises King, Xiaohong and Ming, and the vehicle attribute information is all high-position heavy-load tram cars, therefore, based on the pre-configured correspondence in the tram car transportation operation standard relationship, the generated scheduling operation target of tram car 1 is route a, thus, the scheduling operation time target S1 hours is determined based on each transportation node in the speed route a, the scheduling operation target of the mine car 2 is the route b, the scheduling operation time target S2 hours is determined based on each transportation node in the speed route b, for the operator who may further define each mine car in combination with the operator in the standard relationship for mine car transportation operation, the vehicle attribute information may be defined based on the standard relationship for mine car transportation operation, and a scheduling policy at least including the scheduling operation target and the scheduling operation time target may be obtained, which is not specifically limited in the embodiments of the present invention.
In an embodiment of the present invention, for further explanation and limitation, the scheduling operation data includes scheduling operation data and scheduling operation time data, and the adjusting the scheduling policy based on the energy consumption scheduling mapping relationship and the performance consumption data includes: and searching operation adjustment information and/or time adjustment information matched with the performance consumption data from an energy consumption scheduling mapping relation, and updating and adjusting a scheduling operation target and a scheduling operation time target in the scheduling strategy by combining the scheduling operation data and the scheduling operation time data, wherein the energy consumption scheduling mapping relation stores the operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical value ranges.
In order to improve the accuracy of scheduling adjustment based on scheduling operation data, operation adjustment information and/or time adjustment information matched with the performance consumption data is searched from an energy consumption scheduling mapping relation, wherein the energy consumption scheduling mapping relation stores the operation adjustment information and/or the time adjustment information corresponding to the performance consumption data in different numerical value ranges, and therefore a scheduling operation target and a scheduling operation time target in a scheduling strategy are updated and adjusted by combining the scheduling operation data and the time data.
For example, 80ml of performance consumption in the energy consumption scheduling mapping relationship is in a range of 0-100ml, the corresponding operation adjustment information is the return operation, two thirds of the route 1 is driven by combining the adjustment operation data, the scheduling operation time data is 1 hour, the scheduling operation target route 1 in the scheduling policy is updated and adjusted to be the route 2, the scheduling operation time target route is driven for 10 hours and adjusted to be the route driving for 15 hours, so that the new scheduling policy is that the route 1 is driven for two thirds, and when 1 hour, the route 2 is continuously driven for 15 hours, which is not specifically limited in the embodiment of the present invention.
For further explanation and limitation, in the illustrated embodiment of the invention, as shown in FIG. 5, after the step of feeding back the adjusted scheduling policy to the controller of the mine car, the method further comprises: 301. performing prediction processing on the performance consumption data based on the trained energy consumption prediction model to obtain a performance consumption prediction result; 302. and if the performance consumption prediction result is an abnormal performance consumption state, generating abnormal alarm information containing the equipment transportation data and the scheduling operation data.
In order to improve the processing accuracy of the performance consumption data and meet the data preprocessing requirement on energy consumption analysis, the performance consumption data can be subjected to prediction processing based on the trained energy consumption prediction model to obtain a performance consumption prediction result, so that when the analysis performance consumption prediction result is in an abnormal performance consumption state, abnormal alarm information containing equipment transportation data and scheduling operation data is generated to detect the mine car. The energy consumption prediction model may be any convolutional neural network model, and is trained by combining a performance consumption training set labeled with an abnormal performance consumption state, where the labeled abnormal performance consumption state is used to represent performance consumption data calculation abnormality or data abnormality, and the energy consumption prediction model is trained based on the performance consumption training set labeled with the abnormal performance consumption state, so as to obtain an energy consumption prediction model capable of performing prediction processing on the performance consumption data.
In an embodiment of the present invention, for further explanation and limitation, the acquiring the mine car vehicle data of the vehicle-mounted terminal includes: sending a data acquisition request to the vehicle-mounted terminal according to a preset time interval; calling a data firewall to perform security detection on the mine car data received through the CAN bus, wherein the data firewall is used for performing security network detection inside a local area network on the transmitted data; and if the mine car data is in a safe state, performing warehouse-by-warehouse storage on the mine car data according to the identity identification information.
In the embodiment of the invention, as the vehicle-mounted terminal is arranged on the mine car, in order to adapt to a severe mine car environment, the current mine car intelligent scheduling platform receives the mine car data based on the CAN bus, and calls the data firewall to perform safety detection on the mine car data, so as to determine whether the mine car is safe. The current execution end sends a data acquisition request to the vehicle-mounted terminal according to a preset time interval, then calls a data firewall for carrying out security network detection inside a local area network on the transmitted data to carry out security detection on the mine car data, namely, the data firewall determined by a preset black and white list rule carries out security detection, and if the mine car data is determined to be in a safe state, the mine car data is stored in a database according to the identity identification information of the mine car so as to be acquired at any time for data processing, and the security of data processing is ensured.
Compared with the prior art, the mine car scheduling method based on vehicle data processing is provided by the embodiment of the invention, the mine car data of the vehicle-mounted terminal are obtained, and the mine car data comprise equipment transportation data and scheduling operation data in the mine car operation process; counting the performance consumption data of the mine car according to the equipment transportation data; extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data; the adjusted scheduling strategy is fed back to the controller of the mine car, so that the mine car is controlled to transport according to the adjusted scheduling strategy, the diversity requirement of mine car energy consumption analysis is greatly met, the mine car scheduling effectiveness based on vehicle data processing is realized, and the accuracy and the efficiency of intelligent scheduling based on mine car vehicle data are improved.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention provides a mine car dispatching device based on vehicle data processing, as shown in fig. 6, the device includes:
the acquiring module 41 is used for acquiring mine car vehicle data of the vehicle-mounted terminal, wherein the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
a statistics module 42 for statistics of said mine car performance consumption data based on said equipment transportation data;
an adjusting module 43, configured to extract a scheduling policy matched with the mine car based on the scheduling operation data, and adjust the scheduling policy according to an energy consumption scheduling mapping relationship and the performance consumption data;
a feedback module 44 for feeding the adjusted scheduling policy back to the controller of the mine car to enable the mine car to perform transportation control according to the adjusted scheduling policy.
Further, the equipment transportation data includes equipment transportation time, vehicle distance, and oil consumption for loading and unloading, and the statistical module includes:
the analysis unit is used for analyzing the loading time and the unloading time in the equipment transportation time according to the mine car transportation node;
the verification unit is used for verifying the empty transport distance and the heavy transport distance in the vehicle transport distance by combining the loading time and the unloading time;
and the counting unit is used for counting the performance consumption data of the mine car based on the loading and unloading oil consumption if the empty transport distance and the heavy transport distance pass the verification, wherein the performance consumption data is characterized in that the mine car completes the performance consumption generated by the mine car transportation node once.
Further, the verification module includes:
the acquisition unit is used for acquiring the empty vehicle speed and the heavy vehicle speed of the mine car and calculating a loading position and an unloading position by combining the loading time and the unloading time;
the comparison unit is used for comparing the empty vehicle transport distance and the heavy vehicle transport distance respectively based on the loading position and the unloading position;
and the determining unit is used for determining that the empty vehicle transport distance and the heavy vehicle transport distance pass the verification if the difference obtained by comparison is smaller than or equal to a preset transport distance threshold value.
Further, the apparatus further comprises: a module for generating a plurality of modules,
the acquisition module is also used for acquiring the identity identification information, the running target, the operator information and the vehicle attribute information of the mine car;
the generating module is used for generating a scheduling strategy matched with the identity information, the operation target, the operator information and the vehicle attribute information according to the running route of the mine car, the empty car speed and the heavy car speed, and the scheduling strategy is used for representing the running content set by the scheduling operation target and the scheduling operation time target which is expected to be executed when the mine car is positioned at the transport node of the mine car.
Further, the scheduled operation data comprises scheduled operation data and scheduled operation time data,
the adjusting module is specifically configured to search operation adjustment information and/or time adjustment information that matches the performance consumption data from an energy consumption scheduling mapping relationship, and update and adjust a scheduling operation target and a scheduling operation time target in the scheduling policy by combining the scheduling operation data and the scheduling operation time data, where the energy consumption scheduling mapping relationship stores the operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical value ranges.
Further, the apparatus further comprises: a processing module for processing the received data,
the processing module is used for predicting the performance consumption data based on the trained energy consumption prediction model to obtain a performance consumption prediction result, and the energy consumption prediction model is trained based on a performance consumption training set marked with an abnormal performance consumption state;
and the generating module is further used for generating abnormal alarm information including the equipment transportation data and the scheduling operation data if the performance consumption prediction result is in an abnormal performance consumption state, so that the mine car can be detected.
Further, the obtaining module comprises:
the sending unit is used for sending a data acquisition request to the vehicle-mounted terminal according to a preset time interval;
the calling unit is used for calling a data firewall to perform security detection on the mine car data received through the CAN bus, and the data firewall is used for performing security network detection inside the local area network on the transmitted data;
and the storage unit is used for storing the mine car data in a database according to the identity information if the mine car data is in a safe state.
Compared with the prior art, the mine car scheduling device based on vehicle data processing is provided by the embodiment of the invention, the mine car data of the vehicle-mounted terminal are obtained, and the mine car data comprise equipment transportation data and scheduling operation data in the mine car operation process; counting the performance consumption data of the mine car according to the equipment transportation data; extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data; the adjusted scheduling strategy is fed back to the controller of the mine car, so that the mine car is controlled to transport according to the adjusted scheduling strategy, the diversity requirement of mine car energy consumption analysis is greatly met, the mine car scheduling effectiveness based on vehicle data processing is realized, and the accuracy and the efficiency of intelligent scheduling based on mine car vehicle data are improved.
According to one embodiment of the invention, there is provided a storage medium having stored thereon at least one computer-executable instruction for performing the method of vehicle data processing-based mine car scheduling in any of the above-described method embodiments.
Fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the terminal.
As shown in fig. 7, the terminal may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502, configured to execute the program 510, may specifically perform the steps associated with the above-described car scheduling method embodiment based on vehicle data processing.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations:
acquiring mine car vehicle data of a vehicle-mounted terminal, wherein the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
counting the performance consumption data of the mine car according to the equipment transportation data;
extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data;
and feeding the adjusted scheduling strategy back to the controller of the mine car so as to enable the mine car to carry out transportation control according to the adjusted scheduling strategy.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A mine car scheduling method based on vehicle data processing is characterized by comprising the following steps:
acquiring mine car vehicle data of a vehicle-mounted terminal, wherein the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
counting the performance consumption data of the mine car according to the equipment transportation data;
extracting a scheduling strategy matched with the mine car based on the scheduling operation data, and adjusting the scheduling strategy according to an energy consumption scheduling mapping relation and the performance consumption data;
and feeding the adjusted scheduling strategy back to the controller of the mine car so as to enable the mine car to carry out transportation control according to the adjusted scheduling strategy.
2. The method of claim 1, wherein prior to said extracting a scheduling policy matching said mine car based on said scheduled operation data, said method further comprises:
acquiring identity identification information, an operation target, operator information and vehicle attribute information of the mine car;
and generating a scheduling strategy matched with the identity information, the operation target, the operator information and the vehicle attribute information according to the running route of the mine car, the empty car speed and the heavy car speed, wherein the scheduling strategy is used for representing the running content set by the scheduling operation target and the scheduling operation time target which is expected to be executed when the mine car is positioned at the transport node of the mine car.
3. The method of claim 2, wherein the scheduling operation data comprises scheduling operation data and scheduling operation time data, and wherein adjusting the scheduling policy based on the energy consumption scheduling mapping and the performance consumption data comprises:
and searching operation adjustment information and/or time adjustment information matched with the performance consumption data from an energy consumption scheduling mapping relation, and updating and adjusting a scheduling operation target and a scheduling operation time target in the scheduling strategy by combining the scheduling operation data and the scheduling operation time data, wherein the energy consumption scheduling mapping relation stores the operation adjustment information and/or time adjustment information corresponding to the performance consumption data in different numerical value ranges.
4. The method of claim 1, wherein the equipment transportation data includes equipment transportation time, vehicle haul, load and unload oil consumption, and wherein said accounting for the performance consumption data of the mine cars based on the equipment transportation data includes:
analyzing the loading time and the unloading time in the equipment transportation time according to the mine car transportation node;
verifying the empty transport distance and the heavy transport distance in the vehicle transport distance by combining the loading time and the unloading time;
and if the empty and heavy vehicle transport distances pass the verification, counting the performance consumption data of the mine car based on the loading and unloading oil consumption, wherein the performance consumption data is characterized in that the mine car completes the performance consumption of the mine car transport node once.
5. The method of claim 4, wherein the verifying the empty and heavy haul in the vehicle haul in combination with the loading and unloading times comprises:
acquiring the empty vehicle speed and the heavy vehicle speed of the mine car, and calculating a loading position and an unloading position by combining the loading time and the unloading time;
comparing the empty vehicle transport distance and the heavy vehicle transport distance respectively based on the loading position and the unloading position;
and if the difference obtained by comparison is smaller than or equal to a preset distance threshold, determining that the empty distance and the heavy distance pass the verification.
6. The method of claim 1, wherein after feeding back the adjusted scheduling policy to the controller of the mine car, the method further comprises:
predicting the performance consumption data based on a trained energy consumption prediction model to obtain a performance consumption prediction result, wherein the energy consumption prediction model is trained based on a performance consumption training set marked with an abnormal performance consumption state;
and if the performance consumption prediction result is an abnormal performance consumption state, generating abnormal alarm information containing the equipment transportation data and the scheduling operation data so as to detect the mine car.
7. The method of any one of claims 1 to 6, wherein said obtaining tramcar vehicle data from the on-board terminal comprises:
sending a data acquisition request to the vehicle-mounted terminal according to a preset time interval;
calling a data firewall to perform security detection on the mine car data received through the CAN bus, wherein the data firewall is used for performing security network detection inside a local area network on the transmitted data;
and if the mine car data is in a safe state, performing warehouse-by-warehouse storage on the mine car data according to the identity identification information.
8. A mine car scheduling device based on vehicle data processing is characterized by comprising:
the system comprises an acquisition module, a scheduling module and a display module, wherein the acquisition module is used for acquiring mine car vehicle data of a vehicle-mounted terminal, and the mine car vehicle data comprises equipment transportation data and scheduling operation data in the running process of a mine car;
the counting module is used for counting the performance consumption data of the mine car according to the equipment transportation data;
the adjusting module is used for extracting a scheduling strategy matched with the mine car based on the scheduling operation data and adjusting the scheduling strategy according to the energy consumption scheduling mapping relation and the performance consumption data;
and the feedback module is used for feeding the adjusted scheduling strategy back to the controller of the mine car so as to control the transportation of the mine car according to the adjusted scheduling strategy.
9. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the vehicle data processing-based mine car scheduling method of any one of claims 1-7.
10. A terminal, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the vehicle data processing-based mine car scheduling method of any of claims 1-7.
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