CN117892762B - Basic data query system and method for skid steer loader - Google Patents
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Abstract
The invention relates to the technical field of data processing, and discloses a basic data query system and a basic data query method for a skid steer loader; the system comprises a data query object acquisition module, a data query object search module and a data query result display module; the control instruction parameters of the specific execution equipment for the data query of the skid-steer loader are scientifically stored, so that the basic data query object of the skid-steer loader is accurately controlled, the characteristic parameters of the data query target of the skid-steer loader are accurately matched with the control instruction parameters of the specific execution equipment for the data query of the skid-steer loader by adopting an intelligent recognition algorithm, the basic data query remote dynamic control of a plurality of skid-steer loaders is realized, and the basic data query efficiency and the basic data query applicability of the skid-steer loader are improved; the on-line autonomous execution of basic data query and the output of basic data query results of a plurality of remote skid loaders are realized, and the maintenance efficiency and quality of the skid loaders are improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a basic data query system and a basic data query method for a skid steer loader.
Background
With the development of automation and intelligent technology of mechanical equipment, the operation parameters of the skid steer loader need to be monitored by a data query system; along with the increasing of functions and complexity of mechanical equipment, the information is continuously and deeply developed, the data generation speed of the mechanical equipment is increasing, the data volume of the mechanical equipment to be processed is rapidly expanded to form big data, meanwhile, the big data is required to be fed back and displayed through a big data query technology, the big data query technology is one of core technologies of big data management, and a plurality of novel query technologies are generated for big data query along with the development of cloud computing technology and NoSQL database technology. The query technology about big data is complete query, namely a query condition matching algorithm is defined anyway, query results are ordered anyway, all matching data are returned certainly to ensure the integrity of data query results, however, at present, professional maintenance personnel are required to independently and singly query the basic data of the skid steer loader through professional data reading equipment for basic data query of the skid steer loader, meanwhile, the data process of the skid steer loader is required to be manually clicked by the professional maintenance personnel, basic data query operation cannot be remotely executed for a plurality of skid steer loaders, the repeated workload is large, and the applicability of the skid steer loader in actual production operation is reduced.
The Chinese patent application with publication number CN112506952A discloses a data query device and a data query method, and adopts an input query module which is constructed to receive a data query request; the request analysis module analyzes the data query request and extracts a data table and/or field information corresponding to the data to be queried; and a script generation module which generates corresponding SQL script sentences through a long-short-term memory model based on the data table and/or the field information. The data query device disclosed by the application improves the existing data query system. The data query system can directly convert the text application of the data query into the executable SQL script, thereby reducing the workload of writing the SQL script required by manual analysis, requiring manual operation of operators, and reducing the data query efficiency.
Disclosure of Invention
In order to solve the problems that professional maintenance personnel are required to independently and singly perform basic data query of the skid-steer loader through professional data reading equipment at present, meanwhile, the data process of the skid-steer loader requires manual clicking operation of the professional maintenance personnel, basic data query operation cannot be remotely executed on a plurality of skid-steer loaders, repeated workload is large, applicability of the skid-steer loader in actual production operation is reduced, and the purposes of non-contact brain-computer data acquisition, synchronous remote basic data dynamic query of the plurality of skid-steer loaders and visual feedback of data query results are achieved.
The invention is realized by the following technical scheme: a basic data query method for a skid steer loader, the method comprising the steps of:
S1, acquiring data of a specific skid steer loader to inquire identity data of a target;
S2, matching the identity data of the specific skid-steer loader data inquiry object with the identity data of the skid-steer loader data inquiry object identification by using a data search algorithm, and analyzing and generating skid-steer loader data inquiry object identification judgment data;
s3, collecting skid-steer loader data query target feature data when the skid-steer loader data query object identification identity judgment data is successfully matched;
S4, carrying out data query specific execution equipment control instruction character recognition corresponding to the data query target feature data of the skid-steer loader and the skid-steer loader data query specific execution equipment control instruction data by adopting a data recognition algorithm, searching out corresponding skid-steer loader data query specific execution equipment control instruction data and constructing skid-steer loader data query specific execution equipment determination control instruction data;
S5, determining control instruction data according to the skid-steer loader data query specific execution equipment to execute the skid-steer loader data query operation and generate skid-steer loader data query result data;
S6, outputting the skid-steer loader data query result data, preprocessing the skid-steer loader data query result data according to the skid-steer loader data query object, and generating skid-steer loader standard data query result data;
And S7, displaying and feeding back the standard data query result data of the skid steer loader through display equipment.
Preferably, the operation steps for collecting the identity data of the specific skid steer loader data query object are as follows:
S11, acquiring specific skid loader object identity data corresponding to basic data query required by maintenance personnel through a brain-computer interface device, generating specific skid loader data query object identity data and establishing a specific skid loader data query object identity data matrix ，/>; Wherein/>Represents the/>Specific skid-steer loader data corresponding to each skid-steer loader inquire object identity data,/>Representing the maximum value of the collected skid steer loader number; the brain-computer interface device comprises any one of NeuroskyMindWave, emotivEpoc +, muse and OpenBC, and the specific skid-steer loader object identity data comprises any one of a skid-steer loader object digital identity code, a skid-steer loader object character identity code, a skid-steer loader object digital and character mixed identity code.
Preferably, the step of matching the identity data of the specific skid-steer loader data query object with the identity data of the skid-steer loader data query object by using a data search algorithm to perform the key word matching of the identity data of the skid-steer loader, and analyzing and generating the skid-steer loader data query object identification identity judgment data is as follows:
S21, establishing a skid steer loader data query object identification identity data matrix ，; Wherein/>Represents identified/>Skid-steer loader data query object identification identity data corresponding to each skid-steer loader,/>Representing a maximum value of the number of skid steer loaders identified;
s22, adopting a bidirectional search algorithm to inquire the specific skid steer loader data into an object identity data matrix Specific skid-steer loader data query object identity data/>Ordered skid-steer loader data query object identification identity data matrix/>Identification data/>, of data query object of middle skid loaderMatching the key words of the identity data of the skid steer loader, and generating the identification and judgment data of the skid steer loader data inquiry object;
When (when) And/>A perfect match is successful, indicating/>To/>The corresponding identity data of the skid-steer loader data inquiry object is stored in the skid-steer loader data inquiry object identification identity data/>Outputting the skid steer loader data query object identification identity judgment data to be successfully matched;
When (when) And/>Failure to match exactly indicates/>To/>The corresponding skid-steer loader data inquiry object identity data is not all stored in the skid-steer loader data inquiry object identification identity data/>And outputting the skid steer loader data query object identification identity judgment data which is not successfully matched.
Preferably, when the skid-steer loader data inquiry object identification identity judgment data is successful in matching, acquiring skid-steer loader data inquiry target feature data; the operation steps of (a) are as follows:
S31, when the identification and identification judgment data of the skid steer loader data inquiry object is successful in matching, acquiring the identification data of the specific skid steer loader data inquiry object through a brain-computer interface device Corresponding basic data query target feature data, generating skid-steer loader data query target feature data and establishing a skid-steer loader data query target feature data matrix/>Wherein/>Indicating that collected specific skid steer loader data inquire object identity data/>And the corresponding skid-steer loader data query target characteristic data comprises any one of the speed, the equipment rotating speed, the load, the engine temperature and the engine oil consumption of the skid-steer loader.
Preferably, the operation steps of performing the character recognition of the control command of the data query specific execution device corresponding to the data query target feature by using the data recognition algorithm to the data query target feature data of the skid-steer loader and the control command data of the skid-steer loader data query specific execution device, searching out the control command data of the corresponding skid-steer loader data query specific execution device, and constructing the control command data of the skid-steer loader data query specific execution device are as follows:
s41, establishing a control instruction data matrix of skid steer loader data query concrete execution equipment Wherein/>Indicating skid-steer loader data query target feature data/>The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding/>Inquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding firstInquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding firstInquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
The skid-steer loader data query specific execution device control command comprises any one of a skid-steer loader speed execution sensor control command, a device rotating speed execution sensor control command, a load execution sensor control command, an engine temperature execution sensor control command and an engine oil consumption execution sensor control command;
s42, adopting a data identification algorithm to inquire the skid steer loader data into a target characteristic data matrix Data query target characteristic data/> of middle skid steer loaderControl instruction data matrix/>, specific execution equipment is queried with the skid steer loader dataPerforming data query specific execution equipment control instruction character recognition corresponding to the data query target characteristics on the data query specific execution equipment control instruction data of the middle skid steer loader, and searching out corresponding data query specific execution equipment control instruction data of the skid steer loader; the data identification algorithm identifies the control instruction data of the skid steer loader data query specific execution equipment as follows:
S421, initializing a population, and updating the number N of problems to be solved and the maximum iteration times T;
S422, the reproduction stage is a global search stage, and the control instruction identification black oligopolistic population is ordered according to the fitness, namely, the control instruction data matrix of the specific execution equipment is queried in the skid steer loader data Sorting control instruction data of specific execution equipment for skid steer loader data inquiry in a search space, identifying the control instruction identification black oligopolia participated in reproduction in the black oligopolia population based on the reproduction rate calculation control instruction, randomly selecting a pair of male and female control instruction identification black oligopolia from the control instruction identification black oligopolia for mating reproduction, normally reproducing each pair of control instruction identification black oligopolia on a spider web of the skid steer loader data inquiry, separating the control instruction identification black oligopolia from other control instruction identification black oligopolia, and only small control instruction identification black oligopolia with excellent fitness survives after each reproduction and spawning, namely, inquiring the control instruction data matrix of specific execution equipment for skid steer loader dataScreening out target characteristic data/>, of skid steer loader data query in search spaceThe skid steer loader with excellent adaptability queries control instruction data of specific execution equipment, and in the control instruction identification black oligopolistic spider algorithm, each pair of female and male control instructions identifies black oligopolistic spider by means of/>The formula of the array simulated reproduction process is as follows:
Wherein/> Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryMale control instruction in search space identifies the location of black oligopolistic spiders,/>Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryThe female control instruction in the search space identifies the position of the black oligopolistic spider; /(I)Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryThe male control instruction in the offspring in the search space identifies the location of the black oligopolistic spider,/>Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryIdentifying the position of a black oligopolistic spider by a female control instruction in a offspring in the search space;
S423, the same-class index finger is suitable for identifying the black widow spiders by the control instruction with good adaptability, the control instruction with poor adaptability identifies the black widow spiders, and the control instruction identifies the same class of the black widow spiders to be divided into the same class of the same food and the same class of the brothers sister; the sexual homogeneous feeding means that female control instructions identify black oligopolipes and the male control instructions identify the black oligopolipes when or after mating, the female is distinguished according to the adaptability, the adaptability is excellent, and the adaptability is poor; brothers and sisters are in homologous feeding on the female spider web, young control instructions identify black oligopolides and then live on the female control instructions identify black oligopolides web for a period of time, and brothers and sisters are in homologous feeding during the period of time; the child-mother similar food refers to an event that a small black oligopolistic spider eats the mother black oligopolistic spider, and the control instruction identifies the black oligopolistic spider algorithm to simulate sexual similar food and brother and sister similar food; identifying sex-class feeding of black oligopolides by eating male control instructions, destroying a part of children according to the same-class feeding rate to achieve the purpose of brothers and sisters to feed in the same class, screening young control instructions by using fitness values to identify black oligopolides, namely querying a specific execution device control data matrix in skid steer loader data Searching out target characteristic data/>, of skid steer loader data query in the search spaceThe matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s424, the mutation stage is a local search stage, and the control instruction recognition black oligopolistic algorithm randomly selects a plurality of control instruction recognition black oligopolistic according to mutation rate at the stage, namely, a control instruction data matrix of a specific execution device is queried in skid steer loader data Searching target characteristic data/>, which are inquired by a plurality of skid steer loaders, in a search spaceMatching multiple skid steer loader data query specific execution device control command data each control command identifying black oligopolistic random swap/>Values in the array;
S425, updating the population, after each algorithm iteration, using the control instruction which is reserved in the same class feeding stage to identify the black oligopolistic spiders and the control instruction which is acquired in the mutation stage to identify the black oligopolistic spiders as the initial control instruction of the next iteration, namely reserving and skid-steer loader data query target feature data The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s426, outputting skid steer loader data query target feature data when the maximum iterative algorithm is met The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
S43, constructing the control command data identification of the skid-steer loader data query specific execution device matched in the step S426 into the skid-steer loader data query specific execution device determination control command data, and establishing a skid-steer loader data query specific execution device determination control command data set Wherein/>Indicating skid-steer loader data query target feature data/>Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding matched skid steer loader data query specific execution equipment determines control instruction data,/>，/>，。
Preferably, the operation steps of determining the control instruction data to execute the skid-steer loader data query operation and generating the skid-steer loader data query result data according to the skid-steer loader data query specific execution device are as follows:
S51, determining a control instruction data set according to the skid-steer loader data query specific execution equipment The data query specific execution equipment of the middle skid-steer loader determines that control instruction data is according to the skid-steer loader object number/>Controlling specific execution equipment of each skid-steer loader to run and execute data query operation, and establishing a skid-steer loader data query result data set/>, from data query resultsWherein/>Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceAnd inquiring the result data of the corresponding skid steer loader data.
Preferably, the data query result data of the skid-steer loader is output, the data query result data of the skid-steer loader is subjected to data preprocessing according to the data query object of the skid-steer loader, and the operation steps for generating the standard data query result data of the skid-steer loader are as follows:
S61, inquiring the data of the skid steer loader to obtain a result data set Outputting;
S62, inquiring the skid steer loader data to obtain a result data set The skid-steer loader data query result data in the process is according to the skid-steer loader data query object number/>Data preprocessing is sequentially carried out by adopting a median filtering method, and a skid steer loader standard data query result data set/>。
Preferably, the operation steps of displaying and feeding back the standard data query result data of the skid steer loader through the display device are as follows:
s71, inquiring standard data of the skid steer loader into a result data set through display equipment The standard data query result data of the middle skid-steer loader are according to the skid-steer loader object number/>And displaying and feeding back the data query result data of the skid steer loader at a display screen end of display equipment, wherein the display equipment comprises any one of a mobile phone, an intelligent bracelet, an intelligent watch and intelligent glasses.
The system for realizing the basic data query method for the skid steer loader comprises a data query object acquisition module, a data query object search module and a data query result display module;
the data query object acquisition module comprises a specific skid-steer loader identity information acquisition unit, a skid-steer loader identity identification information storage unit, a skid-steer loader data query object identity matching unit and a skid-steer loader data query feature acquisition unit;
The specific skid-steer loader body information acquisition unit acquires the identity data of a specific skid-steer loader data query object through the brain-computer interface equipment; the skid-steer loader identity recognition information storage unit is used for storing skid-steer loader data inquiry object recognition identity data; the skid-steer loader data inquiry object identity matching unit is used for matching the specific skid-steer loader data inquiry object identity data with the skid-steer loader data inquiry object identification identity data by adopting a data search algorithm, and analyzing and generating skid-steer loader data inquiry object identification identity judgment data; the skid-steer loader data query feature acquisition unit acquires skid-steer loader data query target feature data through a brain-computer interface device;
The data query object searching module comprises a skid-steer loader data query specific execution device instruction storage unit, a skid-steer loader data query specific execution device instruction matching unit, a skid-steer loader data query specific execution device instruction execution unit and a skid-steer loader data query execution result output unit;
The skid-steer loader data inquiry specific execution equipment instruction storage unit is used for storing the skid-steer loader data inquiry specific execution equipment control instruction data; the skid-steer loader data inquiry specific execution equipment instruction matching unit carries out data inquiry specific execution equipment control instruction character recognition corresponding to the data inquiry target characteristics on the skid-steer loader data inquiry target characteristic data and the skid-steer loader data inquiry specific execution equipment control instruction data by adopting a data recognition algorithm, searches out corresponding skid-steer loader data inquiry specific execution equipment control instruction data and constructs skid-steer loader data inquiry specific execution equipment determination control instruction data; the instruction execution unit of the skid-steer loader data query specific execution device determines control instruction data to execute the skid-steer loader data query operation according to the skid-steer loader data query specific execution device; the skid-steer loader data inquiry execution result output unit is used for generating and outputting skid-steer loader data inquiry result data;
The data query result display module comprises a skid-steer loader data query execution result preprocessing unit and a skid-steer loader data query result display unit;
The skid-steer loader data inquiry execution result preprocessing unit outputs the skid-steer loader data inquiry result data, performs data preprocessing on the skid-steer loader data inquiry result data according to a skid-steer loader data inquiry object, and generates skid-steer loader standard data inquiry result data; and the skid-steer loader data query result display unit displays and feeds back the skid-steer loader standard data query result data through display equipment.
The invention provides a basic data query system and a basic data query method for a skid steer loader. The beneficial effects are as follows:
1. The identity information acquisition unit of the specific skid-steer loader is matched with the identity information storage unit of the skid-steer loader, so that the identity verification parameters of the skid-steer loader which needs to execute basic data inquiry are accurately acquired in a non-contact manner by using a brain-computer interface device, and meanwhile, the identity information of the skid-steer loader is preset, the accuracy of the identity verification of the basic data inquiry executed by the skid-steer loader is ensured, and the basic data inquiry safety of the skid-steer loader is improved; the skid-steer loader data inquiry object identity matching unit and the skid-steer loader data inquiry feature acquisition unit are matched with each other, the identity verification of basic data inquiry operation of the skid-steer loader is executed by utilizing a data search algorithm, the identity verification comparison of the online basic data inquiry operation of a plurality of remote skid-steer loaders is realized, the skid-steer loader data inquiry target feature data is acquired through a brain-computer interface device, the non-contact and efficient skid-steer loader basic data inquiry target parameter acquisition of the skid-steer loader is realized, and the data acquisition efficiency of the skid-steer loader is improved.
2. The skid-steer loader data inquiry specific execution equipment instruction storage unit and the skid-steer loader data inquiry specific execution equipment instruction matching unit are matched with each other, so that the skid-steer loader data inquiry specific execution equipment control instruction parameters are scientifically stored, the basic data inquiry object of the skid-steer loader is accurately controlled, the intelligent identification algorithm is adopted to accurately match the skid-steer loader data inquiry target characteristic parameters with the skid-steer loader data inquiry specific execution equipment control instruction parameters, the basic data inquiry remote dynamic control of a plurality of skid-steer loaders is realized, and the basic data inquiry efficiency and the basic data inquiry applicability of the skid-steer loader are improved; the data query specific execution equipment instruction execution unit of the skid-steer loader and the data query execution result output unit of the skid-steer loader are matched with each other, so that the on-line autonomous execution of basic data query and the basic data query result output of a plurality of remote skid-steer loaders are realized, the maintenance efficiency and the quality of the skid-steer loader are improved, and the intellectualization and the operation stability of the skid-steer loader are improved.
3. The skid-steer loader data inquiry result preprocessing unit is used for autonomously preprocessing the skid-steer loader data inquiry result data, so that the accuracy and reliability of the basic data inquiry result of the skid-steer loader are improved, the skid-steer loader data inquiry result display unit is used for intuitively displaying and feeding back the standard data inquiry result data of the skid-steer loader through the display equipment, convenience is brought to maintenance personnel to conveniently, clearly and intuitively acquire the basic data inquiry result of the skid-steer loader, and the basic data inquiry efficiency and the accurate feedback of the skid-steer loader are improved.
Drawings
FIG. 1 is a schematic diagram of a basic data query system for a skid steer loader according to the present invention;
fig. 2 is a flowchart of a basic data query method for a skid steer loader provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The basic data query system and method for the skid steer loader are as follows:
Referring to fig. 1 and 2, a basic data query method for a skid steer loader includes the steps of:
S1, acquiring data of a specific skid steer loader to inquire identity data of a target;
S2, matching the identity data of the specific skid-steer loader data inquiry object with the identity data of the skid-steer loader data inquiry object identification by using a data search algorithm, and analyzing and generating skid-steer loader data inquiry object identification judgment data;
S3, collecting skid-steer loader data query target feature data when the skid-steer loader data query object identification identity judgment data is successfully matched;
s4, carrying out data query specific execution equipment control instruction character recognition corresponding to the data query target feature data of the skid-steer loader and the skid-steer loader data query specific execution equipment control instruction data by adopting a data recognition algorithm, searching out corresponding skid-steer loader data query specific execution equipment control instruction data and constructing skid-steer loader data query specific execution equipment determination control instruction data;
S5, determining control instruction data according to the specific skid-steer loader data query execution equipment to execute the skid-steer loader data query operation and generate skid-steer loader data query result data;
S6, outputting skid-steer loader data inquiry result data, preprocessing the skid-steer loader data inquiry result data according to the skid-steer loader data inquiry object, and generating skid-steer loader standard data inquiry result data;
and S7, displaying and feeding back the standard data query result data of the skid steer loader through display equipment.
Further, referring to fig. 1 and 2, the steps for collecting the identity data of the specific skid steer loader data query object are as follows:
S11, acquiring specific skid loader object identity data corresponding to basic data query required by maintenance personnel through a brain-computer interface device, generating specific skid loader data query object identity data and establishing a specific skid loader data query object identity data matrix ，/>; Wherein/>Represents the/>Specific skid-steer loader data corresponding to each skid-steer loader inquire object identity data,/>Representing the maximum value of the collected skid steer loader number; the brain-computer interface device comprises any one of NeuroskyMindWave, emotivEpoc +, muse and OpenBC, and the specific skid-steer loader object identity data comprises any one of a skid-steer loader object digital identity code, a skid-steer loader object character identity code and a skid-steer loader object digital and character mixed identity code.
The data search algorithm is adopted to match the identity data of the specific skid-steer loader data inquiry object with the identity data of the skid-steer loader data inquiry object identification, so that the operation steps of analyzing and generating the skid-steer loader data inquiry object identification identity judgment data are as follows:
S21, establishing a skid steer loader data query object identification identity data matrix ，; Wherein/>Represents identified/>Skid-steer loader data query object identification identity data corresponding to each skid-steer loader,/>Representing a maximum value of the number of skid steer loaders identified;
s22, adopting a bidirectional search algorithm to inquire the data of the specific skid steer loader into the identity data matrix of the object Specific skid-steer loader data query object identity data/>Ordered skid-steer loader data query object identification identity data matrixIdentification data/>, of data query object of middle skid loaderMatching the key words of the identity data of the skid steer loader, and generating the identification and judgment data of the skid steer loader data inquiry object;
When (when) And/>Failure to match exactly indicates/>To/>The corresponding identity data of the skid-steer loader data inquiry object is stored in the skid-steer loader data inquiry object identification identity data/>Outputting the skid steer loader data query object identification identity judgment data to be successfully matched;
When (when) And/>Failure to match exactly indicates/>To/>The corresponding skid-steer loader data inquiry object identity data is not all stored in the skid-steer loader data inquiry object identification identity data/>And outputting the skid steer loader data query object identification identity judgment data which is not successfully matched.
When the skid-steer loader data inquiry object identification identity judgment data is successfully matched, acquiring skid-steer loader data inquiry target characteristic data; the operation steps of (a) are as follows:
S31, when the identification and identification judgment data of the skid steer loader data query object is successful in matching, acquiring the identification data of the specific skid steer loader data query object through the brain-computer interface equipment Corresponding basic data query target feature data, generating skid-steer loader data query target feature data and establishing a skid-steer loader data query target feature data matrixWherein/>Indicating collected specific skid-steer loader data query object identity dataAnd the corresponding skid-steer loader data query target characteristic data comprises any one of the speed, the equipment rotating speed, the load, the engine temperature and the engine oil consumption of the skid-steer loader.
The identity information acquisition unit of the specific skid-steer loader is matched with the identity information storage unit of the skid-steer loader, so that the identity verification parameters of the skid-steer loader which needs to execute basic data inquiry are accurately acquired in a non-contact manner by using a brain-computer interface device, and meanwhile, the identity information of the skid-steer loader is preset, the accuracy of the identity verification of the basic data inquiry executed by the skid-steer loader is ensured, and the basic data inquiry safety of the skid-steer loader is improved; the skid-steer loader data inquiry object identity matching unit and the skid-steer loader data inquiry feature acquisition unit are matched with each other, the identity verification of basic data inquiry operation of the skid-steer loader is executed by utilizing a data search algorithm, the identity verification comparison of the online basic data inquiry operation of a plurality of remote skid-steer loaders is realized, the skid-steer loader data inquiry target feature data is acquired through a brain-computer interface device, the non-contact and efficient skid-steer loader basic data inquiry target parameter acquisition of the skid-steer loader is realized, and the data acquisition efficiency of the skid-steer loader is improved.
Further, referring to fig. 1 and 2, the operation steps of performing data query specific execution device control command character recognition corresponding to the data query target feature data of the skid-steer loader and the skid-steer loader data query specific execution device control command data by using a data recognition algorithm, searching out corresponding skid-steer loader data query specific execution device control command data, and constructing skid-steer loader data query specific execution device determination control command data are as follows:
s41, establishing a control instruction data matrix of skid steer loader data query concrete execution equipment Wherein/>Indicating skid-steer loader data query target feature data/>The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding/>Inquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding firstInquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding firstInquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
The skid-steer loader data query concrete execution device control command comprises any one of a skid-steer loader speed execution sensor control command, a device rotating speed execution sensor control command, a load execution sensor control command, an engine temperature execution sensor control command and an engine oil consumption execution sensor control command;
S42, adopting a data identification algorithm to inquire the skid steer loader data into a target characteristic data matrix Data query target characteristic data/> of middle skid steer loaderControl instruction data matrix/>, of specific execution equipment for data query of skid steer loaderPerforming data query specific execution equipment control instruction character recognition corresponding to the data query target characteristics on the data query specific execution equipment control instruction data of the middle skid steer loader, and searching out corresponding data query specific execution equipment control instruction data of the skid steer loader; the data identification algorithm identifies the control instruction data of the skid steer loader data query specific execution equipment as follows:
S421, initializing a population, and updating the number N of problems to be solved and the maximum iteration times T;
S422, the reproduction stage is a global search stage, and the control instruction identification black oligopolistic population is ordered according to the fitness, namely, the control instruction data matrix of the specific execution equipment is queried in the skid steer loader data Sorting control instruction data of specific execution equipment for skid steer loader data inquiry in a search space, identifying the control instruction identification black oligopolia participated in reproduction in the black oligopolia population based on the reproduction rate calculation control instruction, randomly selecting a pair of male and female control instruction identification black oligopolia from the control instruction identification black oligopolia for mating reproduction, normally reproducing each pair of control instruction identification black oligopolia on a spider web of the skid steer loader data inquiry, separating the control instruction identification black oligopolia from other control instruction identification black oligopolia, and only small control instruction identification black oligopolia with excellent fitness survives after each reproduction and spawning, namely, inquiring the control instruction data matrix of specific execution equipment for skid steer loader dataScreening out target characteristic data/>, of skid steer loader data query in search spaceThe skid steer loader with excellent adaptability queries control instruction data of specific execution equipment, and in the control instruction identification black oligopolistic spider algorithm, each pair of female and male control instructions identifies black oligopolistic spider by means of/>The formula of the array simulated reproduction process is as follows:
Wherein/> Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryMale control instruction in search space identifies the location of black oligopolistic spiders,/>Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryThe female control instruction in the search space identifies the position of the black oligopolistic spider; /(I)Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryThe male control instruction in the offspring in the search space identifies the location of the black oligopolistic spider,/>Control instruction data matrix/>, representing specific execution equipment in skid-steer loader data queryIdentifying the position of a black oligopolistic spider by a female control instruction in a offspring in the search space;
S423, the same-class index finger is suitable for identifying the black widow spiders by the control instruction with good adaptability, the control instruction with poor adaptability identifies the black widow spiders, and the control instruction identifies the same class of the black widow spiders to be divided into the same class of the same food and the same class of the brothers sister; the sexual homogeneous feeding means that female control instructions identify black oligopolipes and the male control instructions identify the black oligopolipes when or after mating, the female is distinguished according to the adaptability, the adaptability is excellent, and the adaptability is poor; brothers and sisters are in homologous feeding on the female spider web, young control instructions identify black oligopolides and then live on the female control instructions identify black oligopolides web for a period of time, and brothers and sisters are in homologous feeding during the period of time; the child-mother similar food refers to an event that a small black oligopolistic spider eats the mother black oligopolistic spider, and the control instruction identifies the black oligopolistic spider algorithm to simulate sexual similar food and brother and sister similar food; identifying sex-class feeding of black oligopolides by eating male control instructions, destroying a part of children according to the same-class feeding rate to achieve the purpose of brothers and sisters to feed in the same class, screening young control instructions by using fitness values to identify black oligopolides, namely querying a specific execution device control data matrix in skid steer loader data Searching out target characteristic data/>, of skid steer loader data query in the search spaceThe matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s424, the mutation stage is a local search stage, and the control instruction recognition black oligopolistic algorithm randomly selects a plurality of control instruction recognition black oligopolistic according to mutation rate at the stage, namely, a control instruction data matrix of a specific execution device is queried in skid steer loader data Searching target characteristic data/>, which are inquired by a plurality of skid steer loaders, in a search spaceMatching multiple skid steer loader data query specific execution device control command data each control command identifying black oligopolistic random swap/>Values in the array;
S425, updating the population, after each algorithm iteration, using the control instruction which is reserved in the same class feeding stage to identify the black oligopolistic spiders and the control instruction which is acquired in the mutation stage to identify the black oligopolistic spiders as the initial control instruction of the next iteration, namely reserving and skid-steer loader data query target feature data The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s426, outputting skid steer loader data query target feature data when the maximum iterative algorithm is met The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s43, constructing the control command data identification of the skid-steer loader data query specific execution device matched in the step S426 into the skid-steer loader data query specific execution device determination control command data, and establishing a skid-steer loader data query specific execution device determination control command data set Wherein/>Indicating skid-steer loader data query target feature data/>Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; indicating skid-steer loader data query target feature data/> Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding matched skid steer loader data query specific execution equipment determines control instruction data,/>，/>，/>。
The operation steps of determining control instruction data to execute the skid-steer loader data query operation and generating the skid-steer loader data query result data according to the skid-steer loader data query specific execution equipment are as follows:
s51, determining a control instruction data set according to skid steer loader data query specific execution equipment The data query specific execution equipment of the middle skid-steer loader determines that control instruction data is according to the skid-steer loader object number/>Controlling specific execution equipment of each skid-steer loader to run and execute data query operation, and establishing a skid-steer loader data query result data set/>, from data query resultsWherein/>Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceAnd inquiring the result data of the corresponding skid steer loader data.
The skid-steer loader data inquiry specific execution equipment instruction storage unit and the skid-steer loader data inquiry specific execution equipment instruction matching unit are matched with each other, so that the skid-steer loader data inquiry specific execution equipment control instruction parameters are scientifically stored, the basic data inquiry object of the skid-steer loader is accurately controlled, the intelligent identification algorithm is adopted to accurately match the skid-steer loader data inquiry target characteristic parameters with the skid-steer loader data inquiry specific execution equipment control instruction parameters, the basic data inquiry remote dynamic control of a plurality of skid-steer loaders is realized, and the basic data inquiry efficiency and the basic data inquiry applicability of the skid-steer loader are improved; the data query specific execution equipment instruction execution unit of the skid-steer loader and the data query execution result output unit of the skid-steer loader are matched with each other, so that the on-line autonomous execution of basic data query and the basic data query result output of a plurality of remote skid-steer loaders are realized, the maintenance efficiency and the quality of the skid-steer loader are improved, and the intellectualization and the operation stability of the skid-steer loader are improved.
Further, referring to fig. 1 and 2, the operation steps of outputting the skid-steer loader data query result data, preprocessing the skid-steer loader data query result data according to the skid-steer loader data query object, and generating the skid-steer loader standard data query result data are as follows:
s61, inquiring data set of result of skid steer loader data Outputting;
S62, searching data of skid steer loader into result data set The skid-steer loader data query result data in the process is according to the skid-steer loader data query object number/>Data preprocessing is sequentially carried out by adopting a median filtering method, and a skid steer loader standard data query result data set/>。
The operation steps for carrying out display feedback on the standard data query result data of the skid steer loader through the display equipment are as follows:
s71, inquiring standard data of the skid steer loader into a result data set through display equipment The standard data query result data of the middle skid-steer loader are according to the skid-steer loader object number/>And displaying and feeding back the data query result data of the skid steer loader at a display screen end of display equipment, wherein the display equipment comprises any one of a mobile phone, an intelligent bracelet, an intelligent watch and intelligent glasses.
The skid-steer loader data inquiry result preprocessing unit is used for autonomously preprocessing the skid-steer loader data inquiry result data, so that the accuracy and reliability of the basic data inquiry result of the skid-steer loader are improved, the skid-steer loader data inquiry result display unit is used for intuitively displaying and feeding back the standard data inquiry result data of the skid-steer loader through the display equipment, convenience is brought to maintenance personnel to conveniently, clearly and intuitively acquire the basic data inquiry result of the skid-steer loader, and the basic data inquiry efficiency and the accurate feedback of the skid-steer loader are improved.
The system for realizing the basic data query method for the skid steer loader comprises a data query object acquisition module, a data query object search module and a data query result display module;
The data query object acquisition module comprises a specific skid-steer loader identity information acquisition unit, a skid-steer loader identity identification information storage unit, a skid-steer loader data query object identity matching unit and a skid-steer loader data query feature acquisition unit;
The specific skid-steer loader body information acquisition unit acquires the identity data of the specific skid-steer loader data query object through the brain-computer interface equipment; the skid-steer loader identity identification information storage unit is used for storing skid-steer loader data inquiry object identification identity data; the skid-steer loader data inquiry object identity matching unit is used for matching the specific skid-steer loader data inquiry object identity data with the skid-steer loader data inquiry object identification identity data by adopting a data search algorithm, and analyzing and generating skid-steer loader data inquiry object identification identity judgment data; the skid-steer loader data inquiry feature acquisition unit acquires skid-steer loader data inquiry target feature data through the brain-computer interface equipment;
The data query object searching module comprises a skid-steer loader data query specific execution device instruction storage unit, a skid-steer loader data query specific execution device instruction matching unit, a skid-steer loader data query specific execution device instruction execution unit and a skid-steer loader data query execution result output unit;
The skid-steer loader data inquiry concrete execution equipment instruction storage unit is used for storing the skid-steer loader data inquiry concrete execution equipment control instruction data; the skid-steer loader data inquiry specific execution equipment instruction matching unit is used for carrying out data inquiry specific execution equipment control instruction character recognition corresponding to the data inquiry target characteristics on the skid-steer loader data inquiry target characteristic data and the skid-steer loader data inquiry specific execution equipment control instruction data by adopting a data recognition algorithm, searching out corresponding skid-steer loader data inquiry specific execution equipment control instruction data and constructing skid-steer loader data inquiry specific execution equipment determination control instruction data; the instruction execution unit of the specific execution equipment for the data query of the skid-steer loader determines control instruction data according to the specific execution equipment for the data query of the skid-steer loader to execute the data query operation of the skid-steer loader; the skid-steer loader data inquiry execution result output unit is used for generating and outputting skid-steer loader data inquiry result data;
the data query result display module comprises a skid-steer loader data query execution result preprocessing unit and a skid-steer loader data query result display unit;
The skid-steer loader data inquiry execution result preprocessing unit outputs skid-steer loader data inquiry result data, performs data preprocessing on the skid-steer loader data inquiry result data according to a skid-steer loader data inquiry object, and generates skid-steer loader standard data inquiry result data; and the skid-steer loader data query result display unit displays and feeds back the skid-steer loader standard data query result data through the display equipment.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made hereto without departing from the spirit and principles of the present invention and form other embodiments as would be understood by those skilled in the art.
Claims (8)
1. A basic data query method for a skid steer loader, the method comprising the steps of:
S1, acquiring data of a specific skid steer loader to inquire identity data of a target;
S2, matching the identity data of the specific skid-steer loader data inquiry object with the identity data of the skid-steer loader data inquiry object identification by using a data search algorithm, and analyzing and generating skid-steer loader data inquiry object identification judgment data;
s3, collecting skid-steer loader data query target feature data when the skid-steer loader data query object identification identity judgment data is successfully matched;
S4, carrying out data query specific execution equipment control instruction character recognition corresponding to the data query target feature data of the skid-steer loader and the skid-steer loader data query specific execution equipment control instruction data by adopting a data recognition algorithm, searching out corresponding skid-steer loader data query specific execution equipment control instruction data and constructing skid-steer loader data query specific execution equipment determination control instruction data;
S5, determining control instruction data according to the skid-steer loader data query specific execution equipment to execute the skid-steer loader data query operation and generate skid-steer loader data query result data;
S6, outputting the skid-steer loader data query result data, preprocessing the skid-steer loader data query result data according to the skid-steer loader data query object, and generating skid-steer loader standard data query result data;
S7, displaying and feeding back the standard data query result data of the skid steer loader through display equipment;
The operation steps of adopting a data recognition algorithm to carry out data query specific execution device control instruction character recognition corresponding to the data query target feature data of the skid-steer loader and the skid-steer loader data query specific execution device control instruction data, searching out corresponding skid-steer loader data query specific execution device control instruction data and constructing skid-steer loader data query specific execution device determination control instruction data are as follows:
s41, establishing a control instruction data matrix of skid steer loader data query concrete execution equipment Wherein/>Indicating skid-steer loader data query target feature data/>The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding/>Inquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding/>Inquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
indicating skid-steer loader data query target feature data/> The corresponding first kind of skid steer loader data inquiry concrete execution equipment control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding/>Inquiring control instruction data of specific execution equipment by using the data of the skid steer loader;
The skid-steer loader data query specific execution device control command comprises any one of a skid-steer loader speed execution sensor control command, a device rotating speed execution sensor control command, a load execution sensor control command, an engine temperature execution sensor control command and an engine oil consumption execution sensor control command;
s42, adopting a data identification algorithm to inquire the skid steer loader data into a target characteristic data matrix Data query target characteristic data/> of middle skid steer loaderControl instruction data matrix of concrete execution equipment for inquiring data of skid steer loaderPerforming data query specific execution equipment control instruction character recognition corresponding to the data query target characteristics on the data query specific execution equipment control instruction data of the middle skid steer loader, and searching out corresponding data query specific execution equipment control instruction data of the skid steer loader; the data identification algorithm identifies the control instruction data of the skid steer loader data query specific execution equipment as follows:
S421, initializing a population, and updating the number N of problems to be solved and the maximum iteration times T;
S422, the reproduction stage is a global search stage, and the control instruction identification black oligopolistic population is ordered according to the fitness, namely, the control instruction data matrix of the specific execution equipment is queried in the skid steer loader data Sorting control instruction data of the skid-steer loader data query specific execution equipment in a search space, identifying the control instruction which participates in reproduction in the black oligopolia population based on the reproduction rate calculation control instruction, randomly selecting a pair of male and female control instructions from the control instruction to identify the black oligopolia for mating reproduction, and after each reproduction and spawning, only small control instructions with excellent fitness identify the black oligopolia to survive, namely, inquiring the control instruction data matrix/>, of the specific execution equipment in the skid-steer loader dataScreening out target characteristic data/>, of skid steer loader data query in search spaceThe skid steer loader data with excellent fitness inquire about the control instruction data of the concrete execution equipment;
s423, the same-class index finger is suitable for identifying the black widow spiders by the control instruction with good adaptability, the control instruction with poor adaptability identifies the black widow spiders, and the control instruction identifies the same class of the black widow spiders to be divided into the same class of the same food and the same class of the brothers sister; the control instruction identifies the black oligopolistic spider algorithm and simulates sexual homonymous feeding and brothers and sisters homonymous feeding; identifying sex-class feeding of black oligopolides by eating male control instructions, destroying a part of children according to the same-class feeding rate to achieve the purpose of brothers and sisters to feed in the same class, screening young control instructions by using fitness values to identify black oligopolides, namely querying a specific execution device control data matrix in skid steer loader data Searching out target characteristic data/>, of skid steer loader data query in the search spaceThe matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s424, the mutation stage is a local search stage, and the control instruction recognition black oligopolistic algorithm randomly selects a plurality of control instruction recognition black oligopolistic according to mutation rate at the stage, namely, a control instruction data matrix of a specific execution device is queried in skid steer loader data Searching target characteristic data/>, which are inquired by a plurality of skid steer loaders, in a search spaceMatching multiple skid steer loader data query specific execution device control command data each control command identifying black oligopolistic random swap/>Values in the array;
S425, updating the population, after each algorithm iteration, using the control instruction which is reserved in the same class feeding stage to identify the black oligopolistic spiders and the control instruction which is acquired in the mutation stage to identify the black oligopolistic spiders as the initial control instruction of the next iteration, namely reserving and skid-steer loader data query target feature data The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
s426, outputting skid steer loader data query target feature data when the maximum iterative algorithm is met The matched skid steer loader data inquires the control instruction data of the specific execution equipment;
S43, constructing the control command data identification of the skid-steer loader data query specific execution device matched in the step S426 into the skid-steer loader data query specific execution device determination control command data, and establishing a skid-steer loader data query specific execution device determination control command data set Wherein/>Indicating skid-steer loader data query target feature data/>Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Inquiring concrete execution equipment corresponding to the matched skid steer loader data to determine control instruction data; /(I)Indicating skid-steer loader data query target feature data/>Corresponding matched skid steer loader data query specific execution equipment determines control instruction data,/>，/>，/>。
2. The basic data query method for a skid-steer loader according to claim 1, wherein the operation step of collecting the identity data of the specific skid-steer loader data query object comprises the following steps:
S11, acquiring specific skid loader object identity data corresponding to basic data query required by maintenance personnel through a brain-computer interface device, generating specific skid loader data query object identity data and establishing a specific skid loader data query object identity data matrix ，/>; Wherein/>Represents the/>Specific skid-steer loader data corresponding to each skid-steer loader inquire object identity data,/>Representing the maximum value of the collected skid steer loader number; the brain-computer interface device comprises any one of NeuroskyMindWave, emotivEpoc +, muse and OpenBC, and the specific skid-steer loader object identity data comprises any one of a skid-steer loader object digital identity code, a skid-steer loader object character identity code, a skid-steer loader object digital and character mixed identity code.
3. The basic data query method for a skid-steer loader according to claim 2, wherein the step of performing the matching of the specific skid-steer loader data query object identity data and the skid-steer loader data query object identification identity data by using a data search algorithm to perform the skid-steer loader identity data keyword, and analyzing and generating the skid-steer loader data query object identification identity judgment data is as follows:
S21, establishing a skid steer loader data query object identification identity data matrix ，; Wherein/>Represents identified/>Skid-steer loader data query object identification identity data corresponding to each skid-steer loader,/>Representing a maximum value of the number of skid steer loaders identified;
s22, adopting a bidirectional search algorithm to inquire the specific skid steer loader data into an object identity data matrix Specific skid-steer loader data query object identity data/>Ordered skid-steer loader data query object identification identity data matrixIdentification data/>, of data query object of middle skid loaderMatching the key words of the identity data of the skid steer loader, and generating the identification and judgment data of the skid steer loader data inquiry object;
When (when) And/>If the complete matching is successful, outputting the skid steer loader data query object identification identity judgment data to be successful;
When (when) And/>If the complete matching is not successful, outputting skid steer loader data query object identification identity judgment data to be the unmatched success.
4. The basic data query method for a skid-steer loader according to claim 3, wherein when the skid-steer loader data query object identification judgment data is successful in matching, the operation steps of collecting the skid-steer loader data query object feature data are as follows:
S31, when the identification and identification judgment data of the skid steer loader data inquiry object is successful in matching, acquiring the identification data of the specific skid steer loader data inquiry object through a brain-computer interface device Corresponding basic data query target feature data, generating skid-steer loader data query target feature data and establishing a skid-steer loader data query target feature data matrixWherein/>Indicating collected specific skid-steer loader data query object identity dataAnd the corresponding skid-steer loader data query target characteristic data comprises any one of the speed, the equipment rotating speed, the load, the engine temperature and the engine oil consumption of the skid-steer loader.
5. The basic data query method for a skid-steer loader according to claim 4, wherein the operation steps of determining control instruction data to execute a skid-steer loader data query operation and generating skid-steer loader data query result data according to the skid-steer loader data query specific execution device are as follows:
S51, determining a control instruction data set according to the skid-steer loader data query specific execution equipment The data query specific execution equipment of the middle skid-steer loader determines that control instruction data is according to the skid-steer loader object number/>Controlling specific execution equipment of each skid-steer loader to run and execute data query operation, and establishing a skid-steer loader data query result data set/>, from data query resultsWherein/>Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceInquiring the result data of the corresponding skid steer loader data; /(I)Determining control instruction data/>, representing execution skid-steer loader data query specific execution deviceAnd inquiring the result data of the corresponding skid steer loader data.
6. The basic data query method for a skid-steer loader according to claim 5, wherein the operation steps of outputting the skid-steer loader data query result data, preprocessing the skid-steer loader data query result data according to a skid-steer loader data query object, and generating skid-steer loader standard data query result data are as follows:
S61, inquiring the data of the skid steer loader to obtain a result data set Outputting;
S62, inquiring the skid steer loader data to obtain a result data set The skid-steer loader data query result data in the process is according to the skid-steer loader data query object number/>Data preprocessing is sequentially carried out by adopting a median filtering method, and a skid steer loader standard data query result data set/>。
7. The basic data query method for a skid-steer loader according to claim 6, wherein the operation steps of displaying and feeding back the skid-steer loader standard data query result data through the display device are as follows:
s71, inquiring standard data of the skid steer loader into a result data set through display equipment The standard data query result data of the middle skid-steer loader are according to the skid-steer loader object number/>And displaying and feeding back the data query result data of the skid steer loader at a display screen end of display equipment, wherein the display equipment comprises any one of a mobile phone, an intelligent bracelet, an intelligent watch and intelligent glasses.
8. A system for implementing a basic data query method for a skid steer loader according to any one of claims 1 to 7, wherein the system comprises a data query object acquisition module, a data query object search module, and a data query result display module.
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