CN115640924A - Intelligent scheduling management method and system for inspection robot - Google Patents
Intelligent scheduling management method and system for inspection robot Download PDFInfo
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Abstract
The invention discloses an inspection robot intelligent scheduling management method and system, and relates to the field of inspection robot management, wherein the method comprises the following steps: acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots according to the basic parameter set to obtain the target inspection robot; acquiring a routing inspection area distribution result; obtaining a distribution result of the target inspection robot; acquiring target inspection parameter information through an inspection parameter setting model; carrying out routing inspection by combining the distribution result of the target routing inspection robot to obtain routing inspection data; carrying out inspection risk evaluation on the data to obtain inspection risk data; acquiring polling scheduling parameters through a polling scheduling management model; and scheduling management is carried out on the target inspection robot according to the scheduling management information. The dispatching management accuracy of the inspection robot is improved, and therefore the inspection quality of the inspection robot is improved.
Description
Technical Field
The invention relates to the field of inspection robot management, in particular to an intelligent scheduling management method and system for an inspection robot.
Background
The traditional inspection mode depends on artificial sense and experience and is supplemented with partial detection instruments, so that the defects of excessive subjective factors, high labor intensity, low automation degree, uneven inspection quality and the like exist. The appearance of the inspection robot well solves a plurality of problems existing in the traditional manual inspection, and the inspection robot is widely applied to the fields of transformer substation inspection and the like. When the inspection robot inspects, the dispatching management of the inspection robot is an important means for ensuring the normal work of the inspection robot.
In the prior art, the scheduling management accuracy of the inspection robot is not enough, and the inspection effect of the inspection robot is poor.
Disclosure of Invention
The application provides an intelligent dispatching management method and system for an inspection robot. The problem of among the prior art to patrol and examine the scheduling management accuracy of robot not enough, and then cause to patrol and examine the robot patrol and examine the not good technical problem of effect.
In view of the above problems, the present application provides an inspection robot intelligent scheduling management method and system.
In a first aspect, the present application provides an inspection robot intelligent scheduling management method, where the method is applied to an inspection robot intelligent scheduling management system, and the method includes: acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to obtain the target inspection robot; routing inspection area distribution is carried out based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and distribution of the target routing inspection robot is carried out based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot; acquiring target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot; based on the distribution result of the target inspection robot and the target inspection parameter information, the target inspection robot inspects the data to obtain inspection data; performing inspection risk evaluation based on the inspection data to obtain inspection risk data; acquiring polling scheduling parameters through a polling scheduling management model based on the polling risk data; and scheduling and managing the target inspection robot based on the inspection scheduling parameters.
In a second aspect, the present application further provides an intelligent dispatching management system for inspection robots, wherein the system includes: the system comprises a screening module, a judging module and a judging module, wherein the screening module is used for acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to acquire the target inspection robot; the distribution module is used for carrying out routing inspection area distribution based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and carrying out distribution of the target routing inspection robot based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot; the parameter setting module is used for obtaining target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot; the inspection module is used for inspecting through the target inspection robot based on the distribution result of the target inspection robot and the target inspection parameter information to obtain inspection data; the inspection risk evaluation module is used for performing inspection risk evaluation on the basis of the inspection data to obtain inspection risk data; the inspection scheduling parameter determining module is used for obtaining inspection scheduling parameters through an inspection scheduling management model based on the inspection risk data; and the scheduling management module is used for scheduling and managing the target inspection robot based on the inspection scheduling parameters.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
acquiring a basic parameter set of a target inspection area by acquiring basic parameter information of the target inspection area, and screening a plurality of inspection robots according to the basic parameter set to obtain the target inspection robot; performing routing inspection area distribution according to the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and performing distribution of the target routing inspection robot according to the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot; based on the method, target inspection parameter information is obtained through an inspection parameter setting model; routing inspection is carried out by combining the distribution result of the target routing inspection robot to obtain routing inspection data; the inspection risk evaluation is carried out on the inspection data to obtain inspection risk data; based on the method, the polling scheduling parameters are obtained through the polling scheduling management model, and the target polling robot is scheduled and managed according to the polling scheduling parameters. The accuracy and comprehensiveness of dispatching management of the inspection robot are improved, and the dispatching management effect of the inspection robot is improved, so that the inspection quality of the inspection robot is improved; meanwhile, the intelligent and scientific scheduling management process of the inspection robot is promoted, and the technical effect of laying a foundation for further wide application of the inspection robot is achieved.
Drawings
Fig. 1 is a schematic flow chart of an intelligent scheduling management method for an inspection robot according to the present application;
fig. 2 is a schematic flow chart of the inspection robot intelligent scheduling management method for acquiring inspection risk data;
fig. 3 is a schematic flow chart of optimized scheduling management of the target inspection robot in the inspection robot intelligent scheduling management method according to the present application;
fig. 4 is a schematic structural diagram of the inspection robot intelligent scheduling management system according to the present application.
Description of reference numerals: the system comprises a screening module 11, an allocation module 12, a parameter setting module 13, an inspection module 14, an inspection risk evaluation module 15, an inspection scheduling parameter determination module 16 and a scheduling management module 17.
Detailed Description
The application provides an inspection robot intelligent scheduling management method and system. The problem of among the prior art to patrol and examine the scheduling management accuracy of robot not enough, and then cause to patrol and examine the robot patrol and examine the not good technical problem of effect. The accuracy and comprehensiveness of dispatching management of the inspection robot are improved, and the dispatching management effect of the inspection robot is improved, so that the inspection quality of the inspection robot is improved; meanwhile, the intelligent and scientific scheduling management process of the inspection robot is promoted, and the technical effect of laying a foundation for further wide application of the inspection robot is achieved.
Example one
Referring to fig. 1, the present application provides an inspection robot intelligent scheduling management method, wherein the method is applied to an inspection robot intelligent scheduling management system, and the method specifically includes the following steps:
step S100: acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to obtain the target inspection robot;
further, step S100 of the present application further includes:
step S110: constructing a patrol area evaluation feature set;
step S120: performing characteristic identification on a basic parameter set of the target inspection area based on the inspection area evaluation characteristic set to obtain a basic parameter characteristic identification result;
step S130: acquiring basic parameters of a plurality of inspection robots, and acquiring a basic parameter set of the inspection robots;
step S140: screening the basic parameter set of the inspection robot based on the basic parameter feature identification result to obtain screening data of the inspection robot;
step S150: and matching the plurality of inspection robots based on the screening data of the inspection robots to obtain the target inspection robot.
Specifically, the intelligent dispatching management system of the inspection robot acquires basic parameter information of a target inspection area to obtain a basic parameter set of the target inspection area. And further, performing characteristic identification on the basic parameter set of the target inspection area according to the inspection area evaluation characteristic set to obtain a basic parameter characteristic identification result. And then, the inspection robot intelligent scheduling management system acquires basic parameters of a plurality of inspection robots to obtain a basic parameter set of the inspection robots. And then, screening the basic parameter set of the inspection robot according to the basic parameter feature recognition result to obtain screening data of the inspection robot, matching the inspection robots according to the screening data, and determining the target inspection robot.
The target inspection area can be any area which is intelligently inspected by using the inspection robot intelligent scheduling management system. For example, the target inspection area may be a mall, a residential area, an office park, or the like. The basic parameter set of the target inspection region comprises data information such as the area, the structure composition, the environmental parameters, the inspection working range and the like of the target inspection region. The patrol area evaluation feature set comprises a plurality of patrol area evaluation features preset by the patrol robot intelligent scheduling management system. For example, the patrol area evaluation feature set comprises data information such as environmental temperature, environmental humidity and patrol work requirement of the patrol area. And the basic parameter feature identification result comprises data information corresponding to the evaluation feature set of the inspection area in the basic parameter set of the target inspection area. The basic parameter set of the inspection robot comprises the types, sizes, weights, working environment temperatures, working environment humidity and inspection working characteristics of a plurality of inspection robots and working parameter information such as power, turning radius and climbing range. The plurality of inspection robots comprise crawler-type inspection robots, wheel-type inspection robots, rail-type inspection robots and other various inspection robots. The screening data of the inspection robot comprises data information corresponding to the basic parameter feature identification result in a basic parameter set of the inspection robot. The target inspection robot is an inspection robot corresponding to the screening data of the inspection robots in the inspection robots. The technical effects that basic parameter information of the target inspection area is determined, the inspection robots are screened according to the basic parameter information, the target inspection robot which is matched with the target inspection area is determined, and a foundation is laid for subsequent scheduling management of the target inspection robot are achieved.
Step S200: routing inspection area distribution is carried out based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and distribution of the target routing inspection robot is carried out based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot;
further, step S200 of the present application further includes:
step S210: obtaining a structural feature parameter based on the basic parameter set of the target inspection area;
step S220: dividing a target inspection area based on the structural characteristic parameters to obtain inspection area division results;
specifically, structural feature parameters are extracted from a basic parameter set of the target inspection area, the target inspection area is divided according to the structural feature parameters, and an inspection area division result is determined. The structural characteristic parameters comprise data information such as the area, the position, the layout plan and the live-action map of the target inspection area. And the routing inspection area division result comprises specific routing inspection area data information obtained by dividing the target routing inspection area according to the structural characteristic parameters. For example, the target inspection area is a residential area. The structural characteristic parameters comprise data information such as the number of residential buildings, the distance between the residential buildings, the external structural parameters of the residential buildings, the internal structural parameters of the residential buildings, the structural parameters of the parking lot and the like of the residential area. The routing inspection area division result comprises a residential building area, a parking lot area, a residential activity area, a residential service area and the like. The technical effects that the target inspection area is reasonably divided according to the structural characteristic parameters, the inspection area division result is obtained, and the inspection area distribution result tamping basis is obtained subsequently are achieved.
Step S230: routing inspection route distribution is carried out based on the routing inspection area division result, and a routing inspection route distribution result is obtained;
further, step S230 of the present application further includes:
step S231: historical patrol information is acquired based on the patrol area division result, and regional historical patrol information is obtained;
step S232: performing regional inspection grade evaluation based on the regional historical inspection information to obtain a regional inspection grade evaluation result;
step S233: obtaining historical routing inspection route information based on the historical routing inspection information of the area;
step S234: matching the regional inspection grade evaluation result based on the historical inspection route information to obtain regional inspection characteristic information;
step S235: and carrying out routing inspection route distribution on the routing inspection area division result based on the area routing inspection characteristic information to obtain the routing inspection route distribution result.
Step S240: and obtaining the routing inspection area distribution result based on the routing inspection area division result and the routing inspection route distribution result.
Specifically, the intelligent dispatching management system of the inspection robot acquires historical inspection information of a target inspection area according to the inspection area division result to obtain historical inspection information of the area, evaluates the inspection grade of the area according to the inspection area division result and obtains the evaluation result of the inspection grade of the area. Furthermore, historical routing inspection route information is extracted from the obtained historical routing inspection information of the area, and the historical routing inspection route information is matched with the rating result of the routing inspection grade of the area to obtain characteristic information of routing inspection of the area. And then, routing inspection route distribution is carried out on the routing inspection area division result according to the area routing inspection characteristic information to obtain a routing inspection route distribution result, and the routing inspection area distribution result is determined by combining the routing inspection area division result. And then, distributing the target inspection robots according to the distribution results of the inspection areas to obtain the distribution results of the target inspection robots.
The historical routing inspection information of the area comprises historical routing inspection route information, historical routing inspection frequency information, historical routing inspection time, historical routing inspection results and other data information corresponding to routing inspection area division results. The region inspection grade evaluation result comprises inspection grade information corresponding to the inspection region division result. For example, the patrol area division result includes an a area. In the historical routing inspection information of the area, the historical routing inspection routes corresponding to the area A are more, the historical routing inspection frequency is higher, in addition, the historical routing inspection result shows that the routing inspection of the area A is more abnormal, and the area A in the obtained area routing inspection grade evaluation result has a higher routing inspection grade. The historical patrol route information comprises a plurality of historical patrol routes corresponding to the patrol area division result. The area patrol characteristic information comprises an area patrol level evaluation result and historical patrol route information corresponding to the area patrol level evaluation result. And the routing inspection route distribution result comprises routing inspection route distribution of the routing inspection area division result according to the area routing inspection characteristic information, and a routing inspection route corresponding to the routing inspection area division result is obtained. Exemplarily, when the area patrol characteristic information indicates that the area B has a higher patrol level, the patrol route corresponding to the area B can be obtained after refining the historical patrol route information corresponding to the area B. When the area patrol characteristic information indicates that the C area has a lower patrol level, the historical patrol route information corresponding to the C area can be directly set as the patrol route corresponding to the C area. The routing inspection area distribution result comprises a routing inspection area division result and a routing inspection route distribution result. The distribution result of the target inspection robots comprises the number of the target inspection robots, inspection area division results and inspection route distribution results corresponding to each target inspection robot. For example, when the patrol area allocation result indicates that the D area has a plurality of patrol routes, the allocation result of the target patrol robot obtained in which the D area has a plurality of target patrol robots is obtained. The method and the device achieve the technical effects that the routing inspection route distribution is carried out on the target routing inspection area according to the routing inspection area division result, the accurate and reliable routing inspection route distribution result is obtained, the target routing inspection robot is reasonably distributed according to the routing inspection route distribution result, the accurate distribution result of the target routing inspection robot is obtained, and the accuracy of the follow-up scheduling management of the target routing inspection robot is improved.
Step S300: acquiring target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot;
step S400: based on the distribution result of the target inspection robot and the target inspection parameter information, the target inspection robot inspects the data to obtain inspection data;
specifically, the obtained distribution result of the target inspection robot is used as input information, and the inspection parameter setting model is input to obtain target inspection parameter information. And then, the target inspection robot inspects according to the distribution result of the target inspection robot and the target inspection parameter information to obtain inspection data. The inspection parameter setting model is obtained through training of a large amount of data information related to the distribution result of the inspection robot, and has the functions of intelligently matching inspection parameters of the input distribution result of the target inspection robot and the like. The target inspection parameter information comprises inspection time, inspection tasks, inspection frequency and the like corresponding to distribution results of the target inspection robot. The inspection data comprises data information such as inspection environment, inspection condition and the like obtained when the target inspection robot inspects according to the distribution result and the target inspection parameter information of the target inspection robot. Illustratively, the target inspection area is a residential area. And the distribution result of the target inspection robot is that the target inspection robot E inspects the route F at the entrance and exit of the residential area. The target inspection parameter information comprises that the inspection time of the target inspection robot is G, the inspection frequency is H, and the inspection task of the target inspection robot is face recognition, resident judgment, body temperature detection, registration of an external visitor and the like for the personnel who come in and go out. The inspection data comprises face recognition results and body temperature detection data of the personnel who pass in and out, whether the personnel who pass in and out are resident residents, and data information such as inspection weather corresponding to inspection time. The technical effects that scientific and reasonable target inspection parameter information is obtained through the inspection parameter setting model, inspection is carried out by combining the distribution result of the target inspection robot, inspection data is obtained, and reliable data support is provided for obtaining inspection risk data subsequently are achieved.
Step S500: performing inspection risk evaluation based on the inspection data to obtain inspection risk data;
further, as shown in fig. 3, step S500 of the present application further includes:
step S510: constructing a patrol risk characteristic evaluation set, wherein the patrol risk characteristic evaluation set comprises a plurality of patrol risk characteristics and a plurality of patrol risk characteristic evaluation values;
step S520: performing inspection risk evaluation on the inspection data based on the inspection risk characteristic evaluation set to obtain an inspection risk evaluation result;
step S530: and acquiring the inspection risk data based on the inspection risk evaluation result.
Specifically, the inspection robot intelligent scheduling management system obtains an inspection risk characteristic evaluation set through big data query. And further, performing inspection risk evaluation on the obtained inspection data according to the inspection risk characteristic evaluation set to obtain an inspection risk evaluation result, and determining the inspection risk data according to the inspection risk evaluation result. And the patrol risk characteristic evaluation set comprises a plurality of patrol risk characteristics and a plurality of patrol risk characteristic evaluation values. And the plurality of patrol risk features and the plurality of patrol risk feature evaluation values have corresponding relations. And the inspection risk evaluation result comprises inspection risk characteristics and inspection risk characteristic evaluation values corresponding to the inspection data. Illustratively, the inspection data comprises body temperature detection data of personnel entering and leaving an entrance of a certain station, personal object detection data, inspection time, inspection weather and other data information. The inspection risk characteristic evaluation set comprises a body temperature abnormity inspection risk characteristic, an article abnormity inspection risk characteristic, and inspection risk characteristic evaluation values corresponding to the body temperature abnormity inspection risk characteristic and the abnormal article inspection risk characteristic, wherein the inspection risk characteristic evaluation values are a and b respectively. When the temperature detection data in the patrol data do not meet the normal body temperature of the human body, the obtained patrol risk evaluation result comprises the temperature detection data, the abnormal body temperature patrol risk characteristic and the patrol risk characteristic evaluation value a. When the inspection data shows that the personnel carry dangerous goods such as fireworks and crackers, the inspection risk evaluation results include the inspection data of the carried goods, the inspection risk characteristics of abnormal goods and the inspection risk characteristic evaluation value b. The inspection risk data comprise inspection risk evaluation results and data information such as target inspection robots, inspection area division results, inspection route distribution results and the like corresponding to the inspection risk evaluation results. The technical effects that the inspection risk evaluation is carried out on the inspection data through the inspection risk characteristic evaluation set to obtain the inspection risk data, and therefore the accuracy of the follow-up scheduling management of the target inspection robot is improved are achieved.
Further, after step S530, the method further includes:
step S540: carrying out routing inspection obstacle identification based on the routing inspection data to obtain a routing inspection obstacle identification result;
step S550: carrying out inspection risk evaluation on the inspection obstacle identification result to obtain an inspection obstacle risk evaluation coefficient;
step S560: obtaining a risk evaluation coefficient threshold;
step S570: judging whether the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold value;
step S580: and if the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold, adding the inspection obstacle identification result to the inspection risk data.
Specifically, routing inspection obstacle identification is carried out on the obtained routing inspection data, a routing inspection obstacle identification result is obtained, routing inspection risk evaluation is carried out on the routing inspection data, and a routing inspection obstacle risk evaluation coefficient is obtained. And further, judging whether the inspection obstacle risk evaluation coefficient meets a risk evaluation coefficient threshold value, and adding an inspection obstacle identification result to the inspection risk data when the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold value. The inspection obstacle identification result comprises the type, the speed and the distance of the inspection obstacle, and data information such as an inspection area division result, an inspection route distribution result and the like corresponding to the inspection obstacle. And the inspection obstacle risk evaluation coefficient is parameter information used for representing inspection risks corresponding to the inspection obstacle identification result. Illustratively, when the inspection data indicates that a certain child runs on the target inspection robot performing the inspection work, the inspection obstacle recognition result includes the child, a running speed, an inspection area division result, an inspection route allocation result, and a distance between the child and the target inspection robot corresponding to the child. The greater the running speed of the child is, the smaller the distance between the child and the target inspection robot is, and the greater the corresponding inspection obstacle risk evaluation coefficient is. And the risk evaluation coefficient threshold is determined by the self-defined setting of the intelligent dispatching management system of the inspection robot. The patrol risk data further comprises patrol obstacle identification results corresponding to the patrol obstacle risk evaluation coefficients meeting the risk evaluation coefficient threshold. The method and the device have the advantages that the reliable inspection obstacle risk evaluation coefficient is obtained through inspection obstacle identification and inspection risk evaluation, is compared with the risk evaluation coefficient threshold, and the inspection obstacle identification result corresponding to the inspection obstacle risk evaluation coefficient meeting the risk evaluation coefficient threshold is added to the inspection risk data, so that the comprehensiveness of the inspection risk data is improved, and the accuracy of dispatching and managing the target inspection robot is improved.
Step S600: acquiring polling scheduling parameters through a polling scheduling management model based on the polling risk data;
step S700: and scheduling and managing the target inspection robot based on the inspection scheduling parameters.
Specifically, the inspection risk data is used as input information, an inspection scheduling management model is input, inspection scheduling parameters are obtained, and scheduling management is carried out on the target inspection robot according to the inspection scheduling parameters. The patrol scheduling management model is obtained by training a large amount of data information related to patrol risk data, and has the functions of intelligently analyzing the input patrol risk data, matching patrol scheduling parameters and the like. The routing inspection scheduling parameters comprise routing inspection route adjustment of routing inspection route distribution results, routing inspection time and routing inspection frequency adjustment, target routing inspection robot redistribution and the like. Illustratively, when the inspection risk data indicate that the Y area has an inspection risk evaluation result, the obtained inspection scheduling parameters comprise more target inspection robots distributed to the Y area, and the inspection routes of the target inspection robots in the Y area are refined and the inspection frequency is adjusted. The technical effects that the inspection risk data are analyzed through the inspection scheduling management model, reasonable and reliable inspection scheduling parameters are obtained, the target inspection robot is accurately scheduled and managed according to the inspection scheduling parameters, and the inspection quality of the target inspection robot is improved are achieved.
Further, as shown in fig. 4, after step S700, the method further includes:
step S810: evaluating the dispatching management effect of the polling dispatching parameters to obtain polling dispatching evaluation coefficients;
step S820: obtaining a threshold value of a routing inspection scheduling evaluation coefficient;
step S830: judging whether the patrol scheduling evaluation coefficient meets the patrol scheduling evaluation coefficient threshold value or not;
step S840: and if the routing inspection scheduling evaluation coefficient does not meet the threshold value of the routing inspection scheduling evaluation coefficient, acquiring a scheduling management early warning instruction, and performing optimized scheduling management on the target routing inspection robot based on the scheduling management early warning instruction.
Specifically, when the target inspection robot is scheduled and managed according to the inspection scheduling parameters, the inspection robot intelligent scheduling management system evaluates the scheduling management effect of the inspection scheduling parameters to obtain an inspection scheduling evaluation coefficient. And further, whether the patrol scheduling evaluation coefficient meets a patrol scheduling evaluation coefficient threshold value or not is judged, and when the patrol scheduling evaluation coefficient does not meet the patrol scheduling evaluation coefficient threshold value, the patrol robot intelligent scheduling management system automatically acquires a scheduling management early warning instruction and performs optimized scheduling management on the target patrol robot according to the scheduling management early warning instruction.
The patrol scheduling evaluation coefficient is parameter information used for representing the scheduling management effect of the patrol scheduling parameter. For example, if a certain inspection area still has a plurality of inspection risk evaluation results after the target inspection robot is scheduled and managed according to the inspection scheduling parameters, the scheduling management effect of the inspection scheduling parameters is poor, and the corresponding inspection scheduling evaluation coefficient is low. The inspection scheduling evaluation coefficient threshold is set and determined by the inspection robot intelligent scheduling management system according to the accuracy requirement of the inspection robot scheduling management in a user-defined mode. The scheduling management early warning instruction is instruction information used for representing that the patrol scheduling evaluation coefficient does not meet the patrol scheduling evaluation coefficient threshold value and optimizing patrol scheduling parameters corresponding to the patrol scheduling evaluation coefficient. Illustratively, after the scheduling management early warning instruction is obtained, the routing inspection scheduling management model can be trained and updated, then the optimized routing inspection scheduling parameters are obtained through the routing inspection scheduling management model after training and updating, and the target routing inspection robot is subjected to optimized scheduling management according to the optimized routing inspection scheduling parameters. The dispatching management effect evaluation of the patrol dispatching parameters is achieved, when the patrol dispatching evaluation coefficient does not meet the patrol dispatching evaluation coefficient threshold value, optimized dispatching management is carried out on the target patrol robot according to the dispatching management early warning instruction, the dispatching management accuracy of the patrol robot is improved, and the dispatching management quality of the patrol robot is improved.
In summary, the inspection robot intelligent scheduling management method provided by the application has the following technical effects:
1. acquiring a basic parameter set of a target inspection area by acquiring basic parameter information of the target inspection area, and screening a plurality of inspection robots according to the basic parameter set to obtain the target inspection robot; routing inspection area distribution is carried out according to the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and distribution of the target routing inspection robot is carried out according to the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot; based on the method, target inspection parameter information is obtained through an inspection parameter setting model; routing inspection is carried out by combining the distribution result of the target routing inspection robot to obtain routing inspection data; the inspection risk evaluation is carried out on the inspection data to obtain inspection risk data; based on the method, the polling scheduling parameters are obtained through the polling scheduling management model, and the target polling robot is scheduled and managed according to the polling scheduling parameters. The accuracy and comprehensiveness of dispatching management of the inspection robot are improved, and the dispatching management effect of the inspection robot is improved, so that the inspection quality of the inspection robot is improved; meanwhile, the intelligent and scientific scheduling management process of the inspection robot is promoted, and a basic technical effect is laid for further wide application of the inspection robot.
2. And carrying out routing inspection route distribution on the target routing inspection area according to the routing inspection area division result to obtain an accurate and reliable routing inspection route distribution result, and carrying out reasonable distribution on the target routing inspection robot according to the routing inspection route distribution result to obtain an accurate distribution result of the target routing inspection robot, thereby improving the accuracy of scheduling management on the target routing inspection robot.
3. Through inspection obstacle identification and inspection risk evaluation, a reliable inspection obstacle risk evaluation coefficient is obtained and is compared with a risk evaluation coefficient threshold, an inspection obstacle identification result corresponding to the inspection obstacle risk evaluation coefficient meeting the risk evaluation coefficient threshold is added to inspection risk data, the comprehensiveness of the inspection risk data is improved, and therefore the accuracy of dispatching and managing the target inspection robot is improved.
Example two
Based on the inspection robot intelligent scheduling management method in the foregoing embodiment, the same inventive concept, the present invention further provides an inspection robot intelligent scheduling management system, please refer to fig. 4, where the system includes:
the system comprises a screening module 11, a judging module and a judging module, wherein the screening module 11 is used for acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to obtain the target inspection robot;
the distribution module 12 is configured to perform routing inspection area distribution based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and perform distribution of the target routing inspection robot based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot;
the parameter setting module 13 is used for acquiring target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot;
the inspection module 14 is used for performing inspection through the target inspection robot based on the distribution result of the target inspection robot and the target inspection parameter information to obtain inspection data;
the inspection risk evaluation module 15 is used for performing inspection risk evaluation based on the inspection data to obtain inspection risk data;
the inspection scheduling parameter determining module 16 is used for obtaining inspection scheduling parameters through an inspection scheduling management model based on the inspection risk data;
and the dispatching management module 17 is used for dispatching and managing the target inspection robot based on the inspection dispatching parameters.
Further, the system further comprises:
the inspection area evaluation feature construction module is used for constructing an inspection area evaluation feature set;
a basic parameter feature identification result acquisition module, configured to perform feature identification on a basic parameter set of the target inspection area based on the inspection area evaluation feature set, and acquire a basic parameter feature identification result;
the inspection robot parameter acquisition module is used for acquiring basic parameters of a plurality of inspection robots and acquiring a basic parameter set of the inspection robots;
the screening data obtaining module is used for screening the basic parameter set of the inspection robot based on the basic parameter feature identification result to obtain screening data of the inspection robot;
and the target inspection robot determining module is used for matching the inspection robots based on the screening data of the inspection robots to obtain the target inspection robot.
Further, the system further comprises:
a structural characteristic parameter obtaining module, configured to obtain a structural characteristic parameter based on the basic parameter set of the target inspection area;
the inspection area division result obtaining module is used for dividing a target inspection area based on the structural characteristic parameters to obtain an inspection area division result;
the routing inspection route distribution module is used for carrying out routing inspection route distribution based on the routing inspection area division result to obtain a routing inspection route distribution result;
and the routing inspection area distribution result determining module is used for obtaining the routing inspection area distribution result based on the routing inspection area division result and the routing inspection route distribution result.
Further, the system further comprises:
the historical patrol inspection information acquisition module is used for acquiring historical patrol inspection information based on the patrol inspection area division result to obtain area historical patrol inspection information;
the regional inspection grade evaluation module is used for carrying out regional inspection grade evaluation on the basis of the regional historical inspection information to obtain a regional inspection grade evaluation result;
the historical routing inspection route information determining module is used for obtaining historical routing inspection route information based on the regional historical routing inspection information;
the area patrol characteristic information determining module is used for matching the area patrol grade evaluation result based on the historical patrol route information to obtain area patrol characteristic information;
and the routing inspection route distribution result acquisition module is used for carrying out routing inspection route distribution on the routing inspection area division result based on the area routing inspection characteristic information to obtain the routing inspection route distribution result.
Further, the system further comprises:
the system comprises a patrol risk characteristic evaluation construction module, a patrol risk characteristic evaluation construction module and a patrol risk characteristic evaluation module, wherein the patrol risk characteristic evaluation construction module is used for constructing a patrol risk characteristic evaluation set, and the patrol risk characteristic evaluation set comprises a plurality of patrol risk characteristics and a plurality of patrol risk characteristic evaluation values;
the inspection risk evaluation result obtaining module is used for carrying out inspection risk evaluation on the inspection data based on the inspection risk characteristic evaluation set to obtain an inspection risk evaluation result;
and the inspection risk data acquisition module is used for acquiring the inspection risk data based on the inspection risk evaluation result.
Further, the system further comprises:
the inspection obstacle recognition module is used for identifying inspection obstacles based on the inspection data to obtain an inspection obstacle recognition result;
the inspection obstacle risk evaluation coefficient obtaining module is used for performing inspection risk evaluation on the inspection obstacle identification result to obtain an inspection obstacle risk evaluation coefficient;
a risk evaluation coefficient threshold determination module for obtaining a risk evaluation coefficient threshold;
the first judgment module is used for judging whether the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold value or not;
and the first execution module is used for adding the inspection obstacle identification result to the inspection risk data if the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold value.
Further, the system further comprises:
the scheduling management effect evaluation module is used for evaluating the scheduling management effect of the polling scheduling parameters to obtain polling scheduling evaluation coefficients;
the system comprises a patrol scheduling evaluation coefficient threshold obtaining module, a patrol scheduling evaluation coefficient threshold obtaining module and a patrol scheduling evaluation coefficient threshold obtaining module, wherein the patrol scheduling evaluation coefficient threshold obtaining module is used for obtaining a patrol scheduling evaluation coefficient threshold;
the second judgment module is used for judging whether the patrol scheduling evaluation coefficient meets the patrol scheduling evaluation coefficient threshold value;
and the optimized scheduling management module is used for obtaining a scheduling management early warning instruction if the patrol scheduling evaluation coefficient does not meet the patrol scheduling evaluation coefficient threshold value, and performing optimized scheduling management on the target patrol robot based on the scheduling management early warning instruction.
The application provides an inspection robot intelligent scheduling management method, wherein the method is applied to an inspection robot intelligent scheduling management system, and the method comprises the following steps: acquiring a basic parameter set of a target inspection area by acquiring basic parameter information of the target inspection area, and screening a plurality of inspection robots according to the basic parameter set to obtain the target inspection robot; routing inspection area distribution is carried out according to the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and distribution of the target routing inspection robot is carried out according to the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot; based on the target routing inspection parameter information, a routing inspection parameter setting model is used for obtaining target routing inspection parameter information; routing inspection is carried out by combining the distribution result of the target routing inspection robot to obtain routing inspection data; performing inspection risk evaluation on the inspection data to obtain inspection risk data; based on the method, the polling scheduling parameters are obtained through the polling scheduling management model, and the target polling robot is scheduled and managed according to the polling scheduling parameters. The problem of among the prior art to patrol and examine the scheduling management accuracy of robot not enough, and then cause to patrol and examine the robot patrol and examine the not good technical problem of effect. The accuracy and comprehensiveness of dispatching management of the inspection robot are improved, and the dispatching management effect of the inspection robot is improved, so that the inspection quality of the inspection robot is improved; meanwhile, the intelligent and scientific scheduling management process of the inspection robot is promoted, and the technical effect of laying a foundation for further wide application of the inspection robot is achieved.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The specification and drawings are merely illustrative of the present application, and it is intended that the present invention cover modifications and variations of this invention provided they come within the scope of the invention and their equivalents.
Claims (8)
1. An intelligent scheduling management method for an inspection robot is characterized by comprising the following steps:
acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to obtain the target inspection robot;
performing routing inspection area distribution based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and performing distribution of the target routing inspection robot based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot;
acquiring target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot;
based on the distribution result of the target inspection robot and the target inspection parameter information, the target inspection robot inspects the data to obtain inspection data;
performing inspection risk evaluation based on the inspection data to obtain inspection risk data;
acquiring patrol scheduling parameters through a patrol scheduling management model based on the patrol risk data;
and scheduling and managing the target inspection robot based on the inspection scheduling parameters.
2. The method of claim 1, wherein the obtaining the target inspection robot, the method further comprises:
constructing a patrol area evaluation feature set;
performing feature recognition on a basic parameter set of the target inspection area based on the inspection area evaluation feature set to obtain a basic parameter feature recognition result;
acquiring basic parameters of a plurality of inspection robots, and acquiring a basic parameter set of the inspection robots;
screening the basic parameter set of the inspection robot based on the basic parameter feature recognition result to obtain screening data of the inspection robot;
and matching the plurality of inspection robots based on the screening data of the inspection robots to obtain the target inspection robot.
3. The method of claim 1, wherein the obtaining routing inspection area allocation results, the method further comprising:
obtaining structural characteristic parameters based on the basic parameter set of the target inspection area;
dividing a target inspection area based on the structural characteristic parameters to obtain inspection area division results;
routing inspection route distribution is carried out based on the routing inspection area division result, and a routing inspection route distribution result is obtained;
and obtaining the routing inspection area distribution result based on the routing inspection area division result and the routing inspection route distribution result.
4. The method of claim 3, wherein the obtaining routing inspection route assignment results, the method further comprises:
historical patrol information is acquired based on the patrol area division result, and regional historical patrol information is obtained;
performing regional inspection grade evaluation based on the regional historical inspection information to obtain a regional inspection grade evaluation result;
obtaining historical routing inspection route information based on the historical routing inspection information of the area;
matching the regional inspection grade evaluation result based on the historical inspection route information to obtain regional inspection characteristic information;
and carrying out routing inspection route distribution on the routing inspection area division result based on the area routing inspection characteristic information to obtain the routing inspection route distribution result.
5. The method of claim 1, wherein the obtaining patrol risk data, the method further comprising:
constructing a patrol risk characteristic evaluation set, wherein the patrol risk characteristic evaluation set comprises a plurality of patrol risk characteristics and a plurality of patrol risk characteristic evaluation values;
performing inspection risk evaluation on the inspection data based on the inspection risk characteristic evaluation set to obtain an inspection risk evaluation result;
and acquiring the inspection risk data based on the inspection risk evaluation result.
6. The method of claim 5, wherein the method further comprises:
performing routing inspection obstacle identification based on the routing inspection data to obtain a routing inspection obstacle identification result;
carrying out inspection risk evaluation on the inspection obstacle identification result to obtain an inspection obstacle risk evaluation coefficient;
obtaining a risk evaluation coefficient threshold;
judging whether the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold value;
and if the inspection obstacle risk evaluation coefficient meets the risk evaluation coefficient threshold, adding the inspection obstacle identification result to the inspection risk data.
7. The method of claim 1, wherein the method further comprises:
carrying out scheduling management effect evaluation on the polling scheduling parameters to obtain polling scheduling evaluation coefficients;
obtaining a threshold value of a routing inspection scheduling evaluation coefficient;
judging whether the routing inspection scheduling evaluation coefficient meets the threshold value of the routing inspection scheduling evaluation coefficient;
and if the routing inspection scheduling evaluation coefficient does not meet the threshold value of the routing inspection scheduling evaluation coefficient, acquiring a scheduling management early warning instruction, and performing optimized scheduling management on the target routing inspection robot based on the scheduling management early warning instruction.
8. The utility model provides a patrol and examine robot intelligent scheduling management system which characterized in that, the system includes:
the system comprises a screening module, a judging module and a judging module, wherein the screening module is used for acquiring basic parameter information of a target inspection area, acquiring a basic parameter set of the target inspection area, and screening a plurality of inspection robots based on the basic parameter set of the target inspection area to acquire the target inspection robot;
the distribution module is used for carrying out routing inspection area distribution based on the basic parameter set of the target routing inspection area to obtain a routing inspection area distribution result, and carrying out distribution of the target routing inspection robot based on the routing inspection area distribution result to obtain a distribution result of the target routing inspection robot;
the parameter setting module is used for acquiring target inspection parameter information through an inspection parameter setting model based on the distribution result of the target inspection robot;
the inspection module is used for performing inspection through the target inspection robot based on the distribution result of the target inspection robot and the target inspection parameter information to obtain inspection data;
the inspection risk evaluation module is used for performing inspection risk evaluation based on the inspection data to obtain inspection risk data;
the inspection scheduling parameter determining module is used for obtaining inspection scheduling parameters through an inspection scheduling management model based on the inspection risk data;
and the scheduling management module is used for scheduling and managing the target inspection robot based on the inspection scheduling parameters.
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