CN115187927B - Remote monitoring and management method and system for sightseeing seat - Google Patents
Remote monitoring and management method and system for sightseeing seat Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
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- A47C—CHAIRS; SOFAS; BEDS
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Abstract
The invention provides a remote monitoring management method and a remote monitoring management system for a view seat, which relate to the technical field of remote monitoring, and are characterized in that an image acquisition device is used for carrying out omnibearing image acquisition processing on the view seat according to a preset acquisition period to obtain an image set to be evaluated, defect characteristics are extracted to obtain a distribution characteristic information set, a defect analysis evaluation model is constructed, the distribution characteristic information set and standard characteristic parameters are input to obtain a defect evaluation result, a fault code set is further generated, the fault code set is transmitted to a remote monitoring end to obtain a correction command parameter, and the correction command parameter is distributed based on a management control module so as to carry out management and correction on the view seat.
Description
Technical Field
The invention relates to the technical field of remote monitoring, in particular to a method and a system for remote monitoring and management of a sightseeing seat.
Background
With the development and progress of society, outdoor recreation and entertainment have become a part of life, outdoor sightseeing seats are used as components of public spaces, public areas such as parks, scenic spots and squares are all provided with rest spaces, so that the supervision of the service condition of the sightseeing seats is a primary consideration, and at present, the supervision and maintenance of the sightseeing seats are mainly carried out through the regular investigation of staff, however, due to the limitation of modes, the management and control of the sightseeing seats are not accurate enough, and the existing problems cannot be comprehensively investigated.
In the prior art, the common monitoring and management method for the sightseeing seat is not intelligent enough, the supervision flow is not strict enough, the related information cannot be subjected to omnibearing deep analysis, and the supervision strength is not enough easily.
Disclosure of Invention
The application provides a remote monitoring management method and system for a sightseeing seat, which are used for solving the technical problems that the monitoring management method for the sightseeing seat in the prior art is not intelligent enough, the supervision flow is not strict enough, the related information cannot be subjected to comprehensive deep analysis, and insufficient supervision force is easily caused.
In view of the above problems, the present application provides a method and a system for remote monitoring and management of a sightseeing seat.
In a first aspect, the present application provides a method for remotely monitoring and managing a sightseeing seat, the method including: obtaining a preset acquisition period; the image acquisition equipment acquires an image set to be evaluated by carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period; performing defect feature extraction on the image set to be evaluated to obtain a distribution feature information set; collecting standard characteristic parameters; constructing a defect analysis and evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis and evaluation model, and outputting a defect evaluation result; generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types; transmitting the fault code set to a remote monitoring end to obtain correction command parameters; and distributing the correction command parameters based on the management control module so as to carry out management and control correction of the view seat.
In a second aspect, the present application provides a sightseeing seat remote monitoring management system, the system comprising: the period acquisition module is used for acquiring a preset acquisition period; the image acquisition processing module is used for carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period through the image acquisition equipment to obtain an image set to be evaluated; the feature extraction module is used for extracting defect features of the image set to be evaluated to obtain a distribution feature information set; the characteristic acquisition module is used for acquiring standard characteristic parameters; the model evaluation module is used for constructing a defect analysis evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis evaluation model and outputting a defect evaluation result; the code generation module is used for generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types; the parameter acquisition module is used for transmitting the fault code set to a remote monitoring end to acquire correction command parameters; and the parameter receiving module is used for distributing the correction command parameters based on the management control module so as to carry out management and control correction of the view seat.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the remote monitoring management method for the viewfinder seat, which is provided by the embodiment of the application, a preset acquisition period is obtained; the image acquisition equipment acquires an image set to be evaluated by carrying out all-dimensional image acquisition processing of the view seat according to the preset acquisition period, and further carries out defect feature extraction to acquire a distribution feature information set; collecting standard characteristic parameters; constructing a defect analysis and evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis and evaluation model, and obtaining a defect evaluation result to further generate a fault code set, wherein different fault types adopt different fault codes; the fault code set is transmitted to a remote monitoring end to acquire correction command parameters, the correction command parameters are distributed based on a management control module, so that management and control correction of the view seat are performed, the technical problems that in the prior art, the view seat monitoring management method is not intelligent enough, the supervision flow is not strict enough, the related information cannot be subjected to omnibearing deep analysis, insufficient supervision force is easily caused are solved, and intelligent and accurate monitoring and management of the view seat are realized.
Drawings
Fig. 1 is a schematic flow chart of a remote monitoring and managing method for a sightseeing seat;
fig. 2 is a schematic diagram of a defect analysis and evaluation model construction flow in a remote monitoring and management method for a sightseeing seat;
fig. 3 is a schematic diagram of a fault code set generation flow in a remote monitoring and management method for a sightseeing seat;
fig. 4 is a schematic structural diagram of a remote monitoring and management system for a sightseeing seat.
Reference numerals illustrate: the device comprises a period acquisition module a, an image acquisition processing module b, a feature extraction module c, a feature acquisition module d, a model evaluation module e, a code generation module f, a parameter acquisition module g and a parameter receiving module h.
Detailed Description
According to the remote monitoring management method and system for the sightseeing seat, the image collection equipment is used for carrying out all-dimensional image collection processing on the sightseeing seat according to the preset collection period, the image collection to be evaluated is obtained, defect feature extraction is carried out on the image collection to obtain a distribution feature information set, a defect analysis evaluation model is built, the distribution feature information set and standard feature parameters are input to obtain a defect evaluation result, then a fault code set is generated, the fault code set is transmitted to a remote monitoring end to obtain correction command parameters, the correction command parameters are distributed based on the management control module, so that management control correction of the sightseeing seat is carried out, and the technical problems that in the prior art, the sightseeing seat monitoring management method is not intelligent enough, the supervision flow is not strict enough, all-dimensional deep analysis on related information cannot be carried out, and supervision strength is easy to cause.
Example 1
As shown in fig. 1, the present application provides a method for remotely monitoring and managing a sightseeing seat, where the method is applied to a remote monitoring and managing system, and the system is communicatively connected with an image acquisition device, a remote monitoring end, and a management control module, and the method includes:
step S100: obtaining a preset acquisition period;
specifically, the remote detection management method for the mirror seat is applied to a remote detection management system, the system is in communication connection with image acquisition equipment and a remote monitoring end and management control module, the image acquisition equipment is used for carrying out omnibearing image acquisition on the mirror seat and serves as a follow-up information analysis basis, the remote monitoring end is used for receiving a fault result and carrying out follow-up analysis correction processing, the management control module is used for carrying out follow-up management and control by taking the easy correction result as a reference, firstly, a preset acquisition period is acquired, the preset acquisition period refers to a time interval point for carrying out image acquisition on the mirror seat, the preset acquisition period serves as the reference, periodic image acquisition analysis is carried out on the mirror seat, management control is carried out on the mirror seat, and basic conditions are provided for carrying out image acquisition on the mirror seat.
Step S200: the image acquisition equipment acquires an image set to be evaluated by carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period;
specifically, based on the preset acquisition period, the image acquisition device performs omnibearing image acquisition on the view seat to obtain an image acquisition result, and because the application distribution area of the view seat is wider, in order to reduce the analysis data amount of image information, the image acquisition result can be subjected to image gray processing so as to reduce the information amount covered in the image, further perform screening and checking of repeated images, and perform compression of the image information on the basis of ensuring the integrity of the image information so as to determine the image set to be evaluated, wherein the image set to be evaluated is the finally determined image set for performing defect analysis.
Further, the step S200 of the present application further includes:
step S210: carrying out omnibearing image acquisition on the view seat according to the preset acquisition period by the image acquisition equipment to obtain an image acquisition set;
step S220: performing image graying treatment on the image acquisition set to obtain a treated image set;
step S230: and carrying out image visual information identification screening on the processed image set, eliminating information repeated images, and obtaining the image set to be evaluated.
Specifically, the image acquisition device is used for carrying out omnibearing image acquisition on the view seat based on the image acquisition device, carrying out integrated processing on images according to the sequence of image acquisition to obtain an image acquisition result, further carrying out image graying processing on the image acquisition result so as to reduce irrelevant information contained in the images, reduce the complexity of image analysis, obtain the processed image result, further carrying out information identification on the processed image set, extracting and comparing the visual information contained in the processed image set, determining repeated information in the processed image set and removing corresponding images, carrying out image screening on the processed image set, carrying out information compression on the basis of guaranteeing the integrity of the image information, taking the finally determined image set as the image set to be evaluated, and effectively reducing the complexity of subsequent image information analysis by carrying out analysis on the image acquisition set.
Step S300: performing defect feature extraction on the image set to be evaluated to obtain a distribution feature information set;
step S400: collecting standard characteristic parameters;
specifically, the view seat is subjected to omnibearing image acquisition processing, the image set to be evaluated is obtained, defect feature recognition is further carried out on the image set to be evaluated, the defect features comprise partial missing, surface cracks, screw loosening, rusting and the like, defect feature information contained in the image set to be evaluated is obtained, the view seat is used as a unit for carrying out integrated processing of the defect feature information, the distribution feature information set is obtained and used as analysis data of the view seat, a basic information source is provided for carrying out subsequent analysis, further, the standard feature parameters are obtained based on big data, the standard feature parameters refer to feature parameters corresponding to the distribution feature information set in an ideal state, the standard feature parameters are used as reference objects, and a foundation is laid for carrying out feature analysis of the distribution feature information set.
Step S500: constructing a defect analysis and evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis and evaluation model, and outputting a defect evaluation result;
specifically, the defect analysis and evaluation model is constructed to perform feature defect evaluation on the distribution feature information set, the defect analysis and evaluation model is a multi-level network layer and comprises a feature recognition layer, a feature correction layer and an evaluation and analysis layer, the distribution feature information set and the standard feature parameters are input into the defect analysis and evaluation model, feature mapping is performed on the distribution feature information set through feature recognition and classification, further defect feature evaluation is performed on the distribution feature information set and the standard feature parameters in the defect analysis and evaluation model by taking the standard feature parameters as comparison and analysis reference objects, further comprehensive analysis and calculation are performed on evaluation results of all defect features based on weight values, the defect evaluation results are obtained and output, and the defect evaluation results are management and control basis of the subsequent sightseeing seat and are used as reference for subsequent management and control.
Further, as shown in fig. 2, the constructing a defect analysis evaluation model, step S500 of the present application further includes:
step S510: constructing the defect analysis and evaluation model, wherein the defect analysis and evaluation model comprises a feature recognition layer, a feature correction layer and an evaluation and analysis layer;
step S520: based on the characteristic recognition layer, recognizing and classifying the distribution characteristic information set to obtain a recognition result;
step S530: transmitting the identification result to the feature correction layer, and carrying out mapping comparison with the standard feature parameters to obtain a feature matching result;
step S540: setting defect grade, carrying out characteristic parameter defect evaluation on the characteristic matching result based on the evaluation analysis layer, and outputting a defect evaluation result.
Specifically, the defect evaluation analysis model is constructed, the defect evaluation analysis model performs feature recognition analysis on the incoming distribution feature information, further evaluates corresponding defect features to output a virtual model of an evaluation result, the defect feature evaluation analysis model is a multi-level network layer, the levels among the network layers are equal, the feature recognition layer, the feature checking layer and the evaluation analysis layer are included, the distribution feature information set is input into the feature recognition layer, feature recognition is performed on the distribution feature information set, feature classification is performed on the distribution feature information set, such as connection position screw loosening, rusting and the like, the defects, cracks and the like belong to surface features, the relevant feature information is classified and integrated to obtain the recognition result, the recognition result is further transmitted to the feature checking layer, the corresponding feature type is used as a matching standard to extract the standard feature parameters, the feature matching result is obtained by performing mapping checking between the recognition result and the standard feature parameters, the defect level is further set, the defect level is defined to be severely, the feature level is determined to be the standard is obtained, the defect level is obtained by performing impact analysis, and the defect level is evaluated by the standard level control, and the defect level is evaluated by the seat level.
Further, the outputting the defect evaluation result, step S540 of the present application further includes:
step S541: respectively evaluating the distributed characteristic information sets to generate a characteristic evaluation result set;
step S542: acquiring characteristic influence degree affecting the quality of the view seat;
step S543: performing weight proportioning on the related characteristic parameters based on the characteristic influence degree to obtain a characteristic weight value;
step S544: and based on the characteristic weight value, analyzing and calculating the characteristic evaluation result set to obtain the defect evaluation result.
Specifically, the distributed feature information set is taken as an information source, a plurality of features contained in the distributed feature information set are respectively subjected to defect evaluation to obtain corresponding defect evaluation results, the feature evaluation result set is further integrated to obtain the feature evaluation result set, the influence degree of the plurality of distributed features on the quality of the view seat is determined, the corresponding feature influence degree is obtained, the weight ratio is carried out on the corresponding feature parameters by taking the feature influence degree as a standard, the influence weight value of each defect feature on the quality of the view seat is determined, the feature weight value is obtained, the weight value of the features such as screw looseness, surface defects and the like is exemplarily obtained, the weight value of the defect features such as surface dirt and fine scratches is relatively small, neglect can be carried out, meanwhile, the feature information with extremely low weight value can be removed, the maximum utilization of later repair resources is realized, the feature evaluation result set is subjected to weight analysis calculation, the calculation result is obtained as the defect evaluation result, and the final defect evaluation result can be effectively improved by comprehensively evaluating the distributed feature information set based on the weight value.
Further, step S544 of the present application further includes:
step S5441: presetting a characteristic threshold;
step S5442: judging whether the defect evaluation result is smaller than the preset characteristic threshold value or not;
step S5443: if the detected parameter is smaller than the preset parameter, storing the detected parameter serving as the landscape seat to be detected, and setting a secondary monitoring time point;
step S5444: if the fault type is greater than or equal to the fault type, carrying out fault identification and outputting, wherein the fault type and the fault grade are included.
Specifically, a preset feature threshold is set, the preset feature threshold refers to a limit range defined by the defect evaluation result, threshold judgment is performed on the defect evaluation result, if the defect evaluation result is smaller than the preset feature threshold, it is indicated that the damage degree of the view seat corresponding to the defect evaluation result is in a normal range, maintenance is not needed, relevant parameter information determined by the detection is systematically stored, the view seat is used as the view Jing Yi to be detected, the secondary monitoring time point is set based on the detection result, subsequent monitoring is performed, if the defect evaluation result is greater than or equal to the preset feature threshold, it is indicated that the damage degree of the view seat corresponding to the defect evaluation result reaches a maintenance standard, corresponding fault types, fault grades and the like are identified, a fault identification result is output, the fault grade of the view seat can be divided by the threshold limitation, the view seat with serious fault grades is preferentially maintained, and resource waste can be avoided.
Step S600: generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types;
specifically, fault codes are generated based on the defect evaluation result, the fault codes are simplified expressions of fault information of the sightseeing seat, the generation rule of the fault codes is determined, the fault codes are generated in a generation form, matching of the defect evaluation result and the fault code generation rule is further carried out, information conversion is carried out on the defect evaluation result, fault codes corresponding to the defect evaluation result of the sightseeing seat are determined, the fault code set is further generated, fault codes corresponding to different fault types are different, the fault code set is used as an information carrier of the defect evaluation result, subsequent transmission is carried out, information transmission quantity can be effectively reduced, and transmission efficiency is improved.
Further, as shown in fig. 3, the generating a fault code set based on the defect evaluation result, step S600 of the present application further includes:
step S610: acquiring a fault code generation rule;
step S620: performing the fault code generation rule matching on the defect evaluation result to obtain a rule matching result;
step S630: performing information conversion on the defect evaluation result based on the rule matching result to obtain a fault code set;
step S640: and sequencing the fault code sets according to the fault level, and further transmitting the fault code sets in batches.
Specifically, the fault code is generated based on the fault evaluation result, a generation rule of the fault code is obtained, the generation rule comprises generation of fault type, fault grade and position location information of the view seat, further matching of the fault evaluation result and the fault code generation rule is performed to obtain the rule matching result, an exemplary generation form of the fault code can be expressed by S0000, the first bit is a letter, the fault type is expressed, the first two digits express the fault grade, the second two digits express the position location information, a complete fault code can comprise information required by management of the view seat, further information conversion of the fault evaluation result is performed based on the rule matching result, the fault evaluation result is converted into the fault code, the fault code set is obtained, the fault code set is further sequenced based on the fault grade, the number of codes which can be transmitted once is determined, further transmission and distribution is performed, the fault grade higher is used as a precedent, the fault grade can be converted into the fault code set, the defect number can be transmitted in batches, and the data transmission rate can be reduced by single batch by batch, and the data transmission can be improved.
Step S700: transmitting the fault code set to a remote monitoring end to obtain correction command parameters;
step S800: and distributing the correction command parameters based on the management control module so as to carry out management and control correction of the view seat.
Specifically, the fault code set is obtained by converting the defect evaluation result, the fault code set is further transmitted, the fault code is received through the remote monitoring end, the fault code is further analyzed, relevant information contained in the fault code is obtained, correction analysis is carried out based on the relevant information, the corresponding correction command parameters are obtained, the correction command parameters comprise maintenance instructions and specific maintenance directions, further, the management control module is used for carrying out nearby distribution on the correction command parameters, the correction command parameters are transmitted to nearby distribution points, the correction command parameters are received, and subsequent correction management control is carried out based on specific information, so that remote monitoring management of the view-finding seat is achieved.
Further, the step S700 of transmitting the fault code set to a remote monitoring end to obtain a correction command parameter further includes:
step S710: identifying and analyzing the fault code to obtain a fault analysis result;
step S720: performing automatic resource division matching based on the fault analysis result, acquiring a fault location point, and performing nearby staff assignment and optimal path planning to generate the correction command parameters;
step S730: and transmitting the corresponding position point to the correction command parameter.
Specifically, the fault code is transmitted to the remote monitoring end, after the fault code is received, the fault code is further identified and analyzed, specific defect information contained in the fault code is determined, so that a fault analysis result is obtained, further automatic resource division and matching are carried out on the fault analysis result, the most reasonable planning of subsequent management and control resources is carried out by taking the fault type, the fault grade and the position positioning information as basic information, auxiliary information related to optimal path planning and the like is automatically generated, nearby personnel appointments, the correction command parameters are generated by taking the auxiliary information as a reference, further corresponding position point transmission is carried out on the correction command parameters, and after the correction command parameters are received by the regional personnel, maintenance and control of the sightseeing seat are carried out by taking the fault type, the fault grade and the position positioning information as the standard.
Example two
Based on the same inventive concept as the remote monitoring and management method for a sightseeing seat in the foregoing embodiments, as shown in fig. 4, the present application provides a remote monitoring and management system for a sightseeing seat, the system includes:
the period acquisition module a is used for acquiring a preset acquisition period;
the image acquisition processing module b is used for carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period through the image acquisition equipment to obtain an image set to be evaluated;
the feature extraction module c is used for extracting defect features of the image set to be evaluated to obtain a distribution feature information set;
the characteristic acquisition module d is used for acquiring standard characteristic parameters;
the model evaluation module e is used for constructing a defect analysis evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis evaluation model and outputting a defect evaluation result;
the code generation module f is used for generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types;
the parameter acquisition module g is used for transmitting the fault code set to a remote monitoring end to acquire correction command parameters;
and the parameter receiving module h is used for distributing the correction command parameters based on the management control module so as to carry out management and control correction of the view seat.
Further, the system further comprises:
the image acquisition module is used for carrying out all-dimensional image acquisition on the view seat according to the image acquisition equipment and the preset acquisition period to obtain an image acquisition set;
the image processing module is used for carrying out image graying processing on the image acquisition set to obtain a processed image set;
and the image screening module is used for carrying out image visual information identification screening on the processed image set, eliminating repeated images of information and obtaining the image set to be evaluated.
Further, the system further comprises:
the model construction module is used for constructing the defect analysis and evaluation model, wherein the defect analysis and evaluation model comprises a feature recognition layer, a feature correction layer and an evaluation analysis layer;
the information identification module is used for identifying and classifying the distributed characteristic information set based on the characteristic identification layer to obtain an identification result;
the feature correction module is used for transmitting the identification result to the feature correction layer, and carrying out mapping comparison with the standard feature parameters to obtain a feature matching result;
the defect evaluation module is used for setting defect grades, performing characteristic parameter defect evaluation on the characteristic matching result based on the evaluation analysis layer, and outputting a defect evaluation result.
Further, the system further comprises:
the information evaluation module is used for evaluating the distribution characteristic information sets respectively to generate a characteristic evaluation result set;
the influence degree acquisition module is used for acquiring characteristic influence degree affecting the quality of the view seat;
the weight analysis module is used for carrying out weight proportioning on the related characteristic parameters based on the characteristic influence degree to obtain a characteristic weight value;
and the result analysis module is used for analyzing and calculating the characteristic evaluation result set based on the characteristic weight value to acquire the defect evaluation result.
Further, the system further comprises:
the threshold setting module is used for presetting a characteristic threshold;
the result judging module is used for judging whether the defect evaluation result is smaller than the preset characteristic threshold value or not;
the time point setting module is used for storing relevant parameter information of the landscape seat to be detected and setting a secondary monitoring time point if the time point is smaller than the time point setting module;
the identification output module is used for carrying out fault identification and outputting if the fault type is larger than or equal to the fault type and the fault grade.
Further, the system further comprises:
the rule acquisition module is used for acquiring fault code generation rules;
the rule matching module is used for carrying out the fault code generation rule matching on the defect evaluation result to obtain a rule matching result;
the information conversion module is used for carrying out information conversion on the defect evaluation result based on the rule matching result to obtain a fault code set;
the code output module is used for sequencing the fault code sets according to the fault level and further transmitting the fault code sets in batches.
Further, the system further comprises:
the code analysis module is used for identifying and analyzing the fault code to obtain a fault analysis result;
the parameter generation module is used for carrying out automatic resource division and matching based on the fault analysis result, obtaining fault position points, carrying out assignment and optimal path planning on nearby staff, and further generating the correction command parameters;
and the parameter transmission module is used for transmitting the correction command parameters to corresponding position points.
Through the foregoing detailed description of a remote monitoring and managing method for a sightseeing seat, those skilled in the art can clearly know a remote monitoring and managing method and a remote monitoring and managing system for a sightseeing seat in this embodiment, and for the apparatus disclosed in the embodiments, the description is relatively simple because it corresponds to the method disclosed in the embodiments, and relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The method is characterized by being applied to a remote monitoring management system, wherein the system is in communication connection with image acquisition equipment, a remote monitoring end and a management control module, and the method comprises the following steps:
obtaining a preset acquisition period;
the image acquisition equipment acquires an image set to be evaluated by carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period;
performing defect feature extraction on the image set to be evaluated to obtain a distribution feature information set;
collecting standard characteristic parameters;
constructing a defect analysis and evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis and evaluation model, and outputting a defect evaluation result;
generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types;
transmitting the fault code set to a remote monitoring end to obtain correction command parameters;
distributing the correction command parameters based on a management control module so as to perform management and control correction of the view seat;
wherein the constructing a defect analysis assessment model, the method further comprises:
constructing the defect analysis and evaluation model, wherein the defect analysis and evaluation model comprises a feature recognition layer, a feature correction layer and an evaluation and analysis layer;
based on the characteristic recognition layer, recognizing and classifying the distribution characteristic information set to obtain a recognition result;
transmitting the identification result to the feature correction layer, and carrying out mapping comparison with the standard feature parameters to obtain a feature matching result;
setting defect grade, carrying out characteristic parameter defect evaluation on the characteristic matching result based on the evaluation analysis layer, and outputting a defect evaluation result.
2. The method according to claim 1, wherein the image acquisition device performs omnidirectional image acquisition processing on the view seat according to the preset acquisition period to obtain an image set to be evaluated, and the method includes:
carrying out omnibearing image acquisition on the view seat according to the preset acquisition period by the image acquisition equipment to obtain an image acquisition set;
performing image graying treatment on the image acquisition set to obtain a treated image set;
and carrying out image visual information identification screening on the processed image set, eliminating information repeated images, and obtaining the image set to be evaluated.
3. The method of claim 1, wherein outputting the defect review results comprises:
respectively evaluating the distributed characteristic information sets to generate a characteristic evaluation result set;
acquiring characteristic influence degree affecting the quality of the view seat;
performing weight proportioning on the related characteristic parameters based on the characteristic influence degree to obtain a characteristic weight value;
and based on the characteristic weight value, analyzing and calculating the characteristic evaluation result set to obtain the defect evaluation result.
4. A method according to claim 3, characterized in that the method further comprises:
presetting a characteristic threshold;
judging whether the defect evaluation result is smaller than the preset characteristic threshold value or not;
if the detected parameter is smaller than the preset parameter, storing the detected parameter serving as the landscape seat to be detected, and setting a secondary monitoring time point;
if the fault type is greater than or equal to the fault type, carrying out fault identification and outputting, wherein the fault type and the fault grade are included.
5. The method of claim 1, wherein the generating a set of fault codes based on the defect review results, the method further comprises:
acquiring a fault code generation rule;
performing the fault code generation rule matching on the defect evaluation result to obtain a rule matching result;
performing information conversion on the defect evaluation result based on the rule matching result to obtain a fault code set;
and sequencing the fault code sets according to the fault level, and further transmitting the fault code sets in batches.
6. The method of claim 1, wherein the transmitting the fault code set to a remote monitoring end obtains a correction command parameter, the method further comprising:
identifying and analyzing the fault code to obtain a fault analysis result;
performing automatic resource division matching based on the fault analysis result, acquiring a fault location point, and performing nearby staff assignment and optimal path planning to generate the correction command parameters;
and transmitting the corresponding position point to the correction command parameter.
7. The utility model provides a sightseeing seat remote monitoring management system which characterized in that, the system is connected with image acquisition equipment, remote monitoring end, management control module communication, the system includes:
the period acquisition module is used for acquiring a preset acquisition period;
the image acquisition processing module is used for carrying out omnibearing image acquisition processing on the view seat according to the preset acquisition period through the image acquisition equipment to obtain an image set to be evaluated;
the feature extraction module is used for extracting defect features of the image set to be evaluated to obtain a distribution feature information set;
the characteristic acquisition module is used for acquiring standard characteristic parameters;
the model evaluation module is used for constructing a defect analysis evaluation model, inputting the distribution characteristic information set and the standard characteristic parameters into the defect analysis evaluation model and outputting a defect evaluation result;
the code generation module is used for generating a fault code set based on the defect evaluation result, wherein different fault codes are adopted for different fault types;
the parameter acquisition module is used for transmitting the fault code set to a remote monitoring end to acquire correction command parameters;
the parameter receiving module is used for distributing the correction command parameters based on the management control module so as to carry out management and control correction on the view seat;
the system further comprises:
the model construction module is used for constructing the defect analysis and evaluation model, wherein the defect analysis and evaluation model comprises a feature recognition layer, a feature correction layer and an evaluation analysis layer;
the information identification module is used for identifying and classifying the distributed characteristic information set based on the characteristic identification layer to obtain an identification result;
the feature correction module is used for transmitting the identification result to the feature correction layer, and carrying out mapping comparison with the standard feature parameters to obtain a feature matching result;
the defect evaluation module is used for setting defect grades, performing characteristic parameter defect evaluation on the characteristic matching result based on the evaluation analysis layer, and outputting a defect evaluation result.
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