CN116311627B - Electronic door lock fault identification method and system based on indirect detection method - Google Patents
Electronic door lock fault identification method and system based on indirect detection method Download PDFInfo
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- 230000002159 abnormal effect Effects 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 4
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an electronic door lock fault identification method and system based on an indirect detection method, and relates to the technical field of data processing, wherein the method comprises the following steps: the method comprises the steps of performing ranging on a first user according to an RFID ranging device, and outputting first ranging data; when the data reach a preset ranging range, acquiring a scanning starting instruction; the method comprises the steps of sending the data to a control terminal of the intelligent electronic lock, controlling the scanning state of the intelligent electronic lock to be in an opening state, and outputting real-time scanning data based on a first user; generating a fault identification model according to the identification control type of the intelligent electronic lock; inputting real-time scanning data to perform multi-parameter matching, and outputting a fault comparison result; and carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result, and outputting first early warning information. The invention solves the technical problems that the fault identification accuracy of the electronic door lock is low and the fault cannot be quickly determined in the prior art, and achieves the technical effects of improving the fault identification feedback efficiency and ensuring the safety of the electronic door lock.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an electronic door lock fault identification method and system based on an indirect detection method.
Background
With the progress of scientific technology, the door lock industry continuously carries out technology upgrading iteration, gradually develops into a magnetic card door lock from an initial coded lock, and gradually upgrades into products such as a fingerprint lock along with the development of related technologies of fingerprint identification and biological identification. Along with the change of people's consumption habit, the installation rate of utilization of intelligent lock constantly increases. Therefore, the safety of the electronic door lock is also getting attention.
At present, the electronic door lock uses various electronic components, and causes of faults generated by different manufacturers and different unlocking modes are different. Therefore, according to the traditional way of directly cracking the fault treatment of the electronic door lock, the cost is too high, and the treatment time is long. Therefore, there is a need for a method for quickly identifying door lock faults without dismantling the electronic door lock itself. The technical problem that the fault recognition accuracy of the electronic door lock in the prior art is low, and the fault cannot be rapidly determined.
Disclosure of Invention
The application provides an electronic door lock fault identification method and system based on an indirect detection method, which are used for solving the technical problems that in the prior art, the fault identification accuracy of an electronic door lock is low and a fault cannot be quickly determined.
In view of the above problems, the present application provides a method and a system for identifying faults of an electronic door lock based on an indirect detection method.
In a first aspect of the present application, an electronic door lock fault identification method based on an indirect detection method is provided, where the method is applied to an electronic door lock fault identification system, and the system is in communication connection with an intelligent electronic lock and an RFID ranging device, and the method includes:
the method comprises the steps that a first user is subjected to ranging according to the RFID ranging device, first ranging data are output, wherein the RFID ranging device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
when the first ranging data reach a preset ranging range, acquiring a scanning starting instruction;
the scanning starting instruction is sent to a control terminal of the intelligent electronic lock, and is used for controlling the scanning state of the intelligent electronic lock to be in an opening state and outputting real-time scanning data based on the first user;
generating a fault identification model according to the identification control type of the intelligent electronic lock;
inputting the real-time scanning data into the fault identification model for multi-parameter matching, and outputting a fault comparison result, wherein the fault comparison result comprises a multi-parameter matching result;
and carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result, and outputting first early warning information.
In a second aspect of the present application, there is provided an electronic door lock fault recognition system based on an indirect detection method, the system comprising:
the system comprises a ranging data output module, a first user and a second user, wherein the ranging data output module is used for ranging a first user according to an RFID ranging device and outputting first ranging data, the RFID ranging device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
the starting instruction acquisition module is used for acquiring a scanning starting instruction when the first ranging data reach a preset ranging range;
the scanning data output module is used for sending the scanning starting instruction to a control terminal of the intelligent electronic lock, controlling the scanning state of the intelligent electronic lock to be in an opening state and outputting real-time scanning data based on the first user;
the identification model generation module is used for generating a fault identification model according to the identification control type of the intelligent electronic lock;
the comparison result output module is used for inputting the real-time scanning data into the fault identification model to carry out multi-parameter matching and outputting a fault comparison result, wherein the fault comparison result comprises a multi-parameter matching result;
and the early warning information output module is used for carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result and outputting first early warning information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, a first user is subjected to ranging according to the RFID ranging device, first ranging data are output, the RFID ranging device comprises a radio frequency identification tag, the radio frequency identification tag is input into mobile equipment of the first user, then when the first ranging data reach a preset ranging range, a scanning starting instruction is obtained, the scanning starting instruction is sent to a control terminal of an intelligent electronic lock and used for controlling the scanning state of the intelligent electronic lock to be in an opening state, real-time scanning data based on the first user are output, then a fault recognition model is generated according to the recognition control type of the intelligent electronic lock, multi-parameter matching is conducted in the real-time scanning data input fault recognition model, a fault comparison result is output, the fault comparison result comprises a multi-parameter matching result, then fault probability analysis is conducted on the fault comparison result according to the multi-parameter matching result, and first early warning information is output. The technical effects of improving the fault early warning accuracy of the electronic door lock, quickly identifying the door lock fault and shortening the identification time are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an electronic door lock fault recognition method based on an indirect detection method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of outputting first ranging data in a preset ranging range in an electronic door lock fault recognition method based on an indirect detection method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of outputting a first failure probability in an electronic door lock failure recognition method based on an indirect detection method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic door lock fault recognition system based on an indirect detection method according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a ranging data output module 11, a starting instruction acquisition module 12, a scanning data output module 13, an identification model generation module 14, a comparison result output module 15 and an early warning information output module 16.
Detailed Description
The application provides an electronic door lock fault identification method and system based on an indirect detection method, which are used for solving the technical problems that in the prior art, the fault identification accuracy of an electronic door lock is low and a fault cannot be quickly determined.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides an electronic door lock fault identification method based on an indirect detection method, where the method is applied to an electronic door lock fault identification system, and the system is in communication connection with an intelligent electronic lock and an RFID ranging device, and the method includes:
step S100: the method comprises the steps that a first user is subjected to ranging according to the RFID ranging device, first ranging data are output, wherein the RFID ranging device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
further, as shown in fig. 2, step S100 in the embodiment of the present application further includes:
step S110: performing radio frequency tag identification according to the RFID ranging device, and acquiring return information of radio frequency tag identification;
step S120: if the returned information identified by the radio frequency tag comprises a plurality of radio frequency tags, inputting a plurality of ranging data according to the radio frequency tags, wherein each ranging data corresponds to one radio frequency tag;
step S130: and performing near-bit recognition on the plurality of ranging data, and outputting first ranging data in the preset ranging range.
Specifically, the electronic door lock fault recognition system is a system for rapidly recognizing the fault condition of the electronic door lock, and can acquire the operation data of the intelligent electronic lock and the data measured by the RFID ranging device through communication connection with the intelligent electronic lock and the RFID ranging device, so that intelligent fault analysis is performed. The intelligent electronic lock is an electronic door lock with functions of fingerprint, card swiping, password and the like, and can be connected with a network and used for data storage and data analysis. The RFID distance measuring device is a device for positioning a radio frequency identification tag recorded in mobile equipment of a first user by using a reader-writer with a known position, and further measuring the actual distance between the reader-writer and the tag. The RFID distance measuring device comprises a radio frequency identification tag, and the actual position of the first user from the reader-writer of the RFID distance measuring device is measured by inputting the radio frequency identification tag into the mobile equipment of the first user. Further, the distance obtained by measurement is set as the first ranging data. Wherein the first ranging data reflects a location of the first user from the reader. The first user is any user using the intelligent electronic lock. The radio frequency identification tag is a tag used for being identified and carrying out data exchange, and optionally comprises a receiving and transmitting antenna, an AC/DC circuit, a demodulation circuit, a logic control circuit, a memory and a modulation circuit.
Specifically, the RFID ranging device is used for identifying the radio frequency tag in a radio frequency mode, so that return information identified by the radio frequency tag is obtained, wherein the return information comprises a response signal and tag information. The response signal is a signal that the radio frequency identification tag feeds back the radio frequency signal. The tag information is written information in the radio frequency identification tag.
Specifically, when only one user's mobile device contains a radio frequency identification tag, the distance between the user and the reader of the RFID ranging device can be obtained according to the response signal and the tag information in the returned information, and the ranging data can be obtained. When a plurality of users are located near the RFID ranging device and the mobile devices of the plurality of users all include radio frequency identification tags, a plurality of response signals and a plurality of tag information can be obtained from the plurality of radio frequency tags, and the obtained identification information needs to be processed.
Specifically, the distances between the corresponding users of the plurality of radio frequency tags and the RFID ranging device are determined according to the returned information and are used as a plurality of ranging data according to the plurality of radio frequency tags in the returned information. Wherein, each ranging data corresponds to a radio frequency tag. The ranging data reflect the distance between the reader and the user. And sequencing the plurality of ranging data according to the distance in the ranging data and the sequence from small to large to obtain the ranging data arranged at the first position, and taking the ranging data arranged at the first position as the first ranging data in the preset ranging range, namely, the distance between the user corresponding to the first ranging data and the RFID ranging device is nearest. The preset ranging range is the minimum distance that can be scanned by the electronic lock, and is set by the staff, and is not limited herein.
Step S200: when the first ranging data reach a preset ranging range, acquiring a scanning starting instruction;
step S300: the scanning starting instruction is sent to a control terminal of the intelligent electronic lock, and is used for controlling the scanning state of the intelligent electronic lock to be in an opening state and outputting real-time scanning data based on the first user;
specifically, when the first ranging data reach a preset ranging range, that is, when the user corresponding to the first ranging data has reached a range in which the intelligent electronic lock can be opened, the scanning start instruction is obtained. The scanning starting instruction is a command for issuing the intelligent electronic lock to start scanning.
Specifically, the scanning start instruction is sent to the control terminal of the intelligent electronic lock, and after the control terminal receives the scanning start instruction, the scanning state of the intelligent electronic lock is controlled to be in an open state. And then, the first user is scanned by using the intelligent electronic lock, and real-time scanning data of the first user are obtained. The real-time scanning data are data which are obtained by scanning information of the first user by utilizing an intelligent electronic lock in a scanning mode such as fingerprint scanning, retina scanning, iris scanning and voiceprint recognition and the like and can reflect the identity information of the first user. And acquiring the information of the electronic user to be opened by acquiring the real-time scanning data, and providing basic analysis data for identifying the fault of the electronic door lock.
Step S400: generating a fault identification model according to the identification control type of the intelligent electronic lock;
specifically, according to the identification control type of the intelligent electronic lock, data search is performed in big data to obtain electronic lock identification operation data corresponding to different identification control types. The recognition control type includes fingerprint recognition control, retina recognition control, iris recognition control, and voiceprint recognition control. Corresponding operation data are obtained according to different identification control types, wherein the operation data comprise scanning data and corresponding electronic lock operation states. Further, the fault identification model is generated from the operational data. The fault identification model is a functional model for intelligently identifying faults of the intelligent electronic lock, input data are real-time scanning data, and output data are fault comparison results.
Step S500: inputting the real-time scanning data into the fault identification model for multi-parameter matching, and outputting a fault comparison result, wherein the fault comparison result comprises a multi-parameter matching result;
step S600: and carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result, and outputting first early warning information.
Further, as shown in fig. 3, the system further includes a pressure sensor, and step S600 in the embodiment of the present application further includes:
step S610: acquiring real-time pressure data according to the pressure sensor;
step S620: if the real-time pressure data is returned to be empty, carrying out non-direct contact identification on the real-time scanning data;
step S630: inputting the real-time scanning data into an image recognition module in the fault recognition model for comparison based on the non-direct contact identification, and obtaining a multi-parameter matching result based on non-direct contact door lock recognition;
step S640: and outputting a first fault probability according to the multi-parameter matching result.
Further, step S600 in the embodiment of the present application further includes:
step S650: according to the image recognition module, comparing, and outputting a multi-parameter matching result based on non-direct contact door lock recognition, wherein the multi-parameter matching result comprises an image recognition abnormal parameter, an image comparison time parameter and a locking structure response parameter;
step S660: identifying unlocking acquisition failure rate, unlocking identification failure rate and unlocking execution failure rate according to the image identification abnormal parameters, the image comparison time-consuming parameters and the locking structure response parameters;
step S670: and outputting the first fault probability according to the identification unlocking acquisition fault rate, the unlocking identification fault rate and the unlocking execution fault rate.
Specifically, the multi-parameter matching is to match the real-time scanning data with the data in the fault identification model, and the fault comparison result is obtained according to the matching result. The fault comparison result comprises a multi-parameter matching result. The multi-parameter matching result comprises a result obtained by comparing a plurality of parameters scanned by the intelligent electronic lock with parameters in the fault identification model. The first early warning information is used for reminding a user that the current scanning mode cannot normally open the intelligent electronic lock.
In particular, the pressure sensor is an instrument that converts the mechanical pressure obtained into an electrical output signal. And acquiring the real-time pressure data by carrying out real-time pressure acquisition according to the pressure sensor. The real-time pressure data are data information which reflects the pressure condition received by the electronic door lock in real time. When the real-time pressure data is returned to be empty, the electronic door lock is indicated not to be subjected to external mechanical pressure, and at the moment, the identification control type of the electronic door lock is non-contact, namely, when a user performs fingerprint unlocking on the electronic door lock, the user only needs to scan the electronic door lock from top to bottom by placing the finger above a scanning position, the user does not need to press the finger at the scanning position, fingerprint residues are reduced in a scanning mode, the possibility that the fingerprint is copied is greatly reduced, and the safety is improved. And carrying out non-direct contact identification on the real-time scanning data, so as to call the identification modules which belong to the non-contact type in the fault identification model, thereby ensuring the accuracy of identification comparison.
Specifically, the non-contact type electronic door lock is mainly electronically unlocked through recognition, so that a multi-parameter matching result based on non-direct contact type door lock recognition is obtained by calling an image recognition module in a fault recognition model for comparison. And comparing the real-time scanning data with the data in the image recognition module to obtain a multi-parameter matching result when the non-direct contact door lock recognition is carried out. The multi-parameter matching result comprises an image identification abnormal parameter, an image comparison time parameter and a locking structure response parameter. The image recognition abnormal parameters are abnormal parameters corresponding to conditions such as recognition of a cartoon, disappearance of a recognition signal and the like in the processes of iris recognition, fingerprint scanning and the like in the process of image recognition, and comprise recognition equipment abnormality, overtime scanning time and the like. And comparing the data in the real-time scanning data with the data in the image recognition module to obtain abnormal data, and setting the abnormal data as image recognition abnormal parameters. The image comparison time parameter is a time for comparing information contained in the real-time scan data. The locking structure response parameters are parameters for describing the response degree of the locking structure of the intelligent electronic lock to the unlocking command, and comprise response time and response times.
Specifically, by using the image recognition abnormal parameter, the image comparison time parameter and the locking structure response parameter as analysis data, the probability of the intelligent electronic lock that the intelligent electronic lock is subjected to recognition unlocking acquisition fault, unlocking recognition fault and unlocking execution fault is determined, and the recognition unlocking acquisition fault rate, unlocking recognition fault rate and unlocking execution fault rate are obtained.
Specifically, the intelligent electronic lock operation data is used as an index, and the electronic lock operation data is obtained from the big data. Comparing the image identification abnormal parameters with the same parameters in the electronic lock operation data to obtain a comparison success result, wherein the comparison success result comprises the electronic lock successful operation data and the electronic lock fault operation data, the electronic lock fault operation data quantity is compared with the total quantity of the electronic lock operation data, and the obtained ratio is set as an unlocking acquisition fault rate. According to the same mode, unlocking identification failure rate is obtained according to parameters during image comparison, and unlocking execution failure rate is obtained according to response parameters of the locking structure.
Specifically, weighting calculation is performed on the unlocking identification failure rate, the unlocking identification failure rate and the unlocking execution failure rate according to a preset weight distribution value, and the result of the weighting calculation is set as the first failure probability. The preset weight distribution value is a preset proportion of the unlocking identification failure rate, the unlocking identification failure rate and the unlocking execution failure rate when the intelligent electronic lock is caused to fail, and is set by a worker by himself without limitation. The first failure probability is a probability of failure of the electronic lock. When the first fault probability is higher than the preset fault probability, indicating that the scanning mode of the electronic lock is faulty, and taking the information as the first early warning information. Therefore, the probability of failure of the electronic door lock is determined in an indirect detection mode, and the technical effect of failure early warning is achieved for a user.
Further, step S610 in the embodiment of the present application further includes:
step S611: if the real-time pressure data return is not empty, performing direct contact identification on the real-time scanning data;
step S612: inputting the real-time scanning data into an input identification module in the fault identification model for comparison based on a direct contact identifier to obtain input matching parameters and locking structure response parameters;
step S613: and outputting a second fault probability according to the input matching parameter and the locking structure response parameter.
Specifically, when the real-time pressure data return is not empty, the identification type of the intelligent electronic lock is contact type, namely, a fingerprint is left on an unlocking interface when the intelligent electronic lock is unlocked. And carrying out direct contact identification on the real-time scanning data so as to process the data. And calling an input identification module in the fault identification model based on the direct contact identification, and comparing and identifying the fault identification model with the direct contact identification, so as to obtain input matching parameters and locking structure response parameters. The input matching parameters are parameters describing the matching speed and the matching time when fingerprint pressing identification is carried out.
Specifically, the input matching parameters are compared with the same parameters in the electronic lock operation data, so that the electronic lock operation data corresponding to the successfully-compared parameters, including the successful electronic lock operation data and the fault electronic lock operation data, are obtained. And comparing the number of the successful operation data of the electronic lock with the total number of the operation data of the electronic lock, wherein the obtained ratio is the input unlocking acquisition failure rate. The unlocking execution failure rate is obtained based on the same manner. And carrying out weighted calculation on the unlocking acquisition failure rate and the unlocking execution failure rate according to a preset weight distribution value, thereby obtaining a second failure probability according to the weighted calculation result. The second fault probability is the possibility of faults of the contact type intelligent electronic lock.
Further, step S670 of the embodiment of the present application further includes:
step S671: acquiring a real-time scanning mode of the first user;
step S672: outputting the first early warning information based on the real-time scanning mode of the first user;
step S673: and generating reminding information for switching the scanning modes according to the first early warning information, wherein the reminding information is used for reminding the first user to execute another scanning mode different from the real-time scanning mode.
Further, after the real-time scanning manner of the first user is obtained, step S670 in the embodiment of the present application further includes:
step S674: analyzing the first early warning information output based on the real-time scanning mode of the first user, and determining the failure rate corresponding to the response parameters of the locking structure;
step S675: judging whether the failure rate of the response parameters of the locking structure is larger than a preset failure rate or not;
step S676: and if the failure rate of the response parameters of the locking structure is larger than the preset failure rate, closing the reminding information of switching the scanning modes.
Specifically, the method comprises the step of determining a real-time scanning mode of the first user, wherein the real-time scanning mode comprises contact type scanning and non-contact type scanning. Wherein the contact scan comprises a fingerprint press scan. Non-contact scanning includes iris scanning, voiceprint recognition, and the like. And determining the first early warning information according to the real-time scanning mode of the first user, namely the current scanning mode in progress. The first early warning information is used for determining that the first user cannot perform early warning on the condition that the intelligent electronic lock is opened in a real-time scanning mode.
Specifically, the reminding information is generated according to the first early warning information, wherein the reminding information is used for reminding the first user to execute another scanning mode different from the real-time scanning mode. That is, when the first user cannot open the intelligent electronic lock in the real-time scanning manner, it cannot be directly determined that the electronic lock is faulty, and the scanning unlocking can be performed by using other real-time scanning manners.
Specifically, the fault probability in the first early warning information is subjected to refinement analysis, and the fault rate corresponding to the response parameter of the locking structure is obtained. That is, the possibility that the response of the locking structure of the intelligent electronic lock to the unlocking instruction is failed is judged. The preset failure rate is the lowest failure rate of unlocking failure caused by failure of a locking structure of the preset intelligent electronic lock core. When the failure rate of the response parameters of the locking structure is larger than the preset failure rate, the locking structure of the intelligent electronic lock core is indicated to be failed at the moment, namely the structure of the electronic lock is failed, and the electronic lock is irrelevant to an unlocking scanning mode, so that the unlocking is carried out without trying to switch the scanning mode. Thereby closing the reminding information of the switching of the scanning modes, and directly carrying out early warning to indicate that the locking structure of the electronic door lock fails. The technical effect of differentiating and intelligently identifying faults of the electronic door lock is achieved.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method, the first user is subjected to ranging by utilizing the RFID ranging device, the user distance closest to a reader-writer of the ranging device is obtained, the radio frequency is carried out on the radio frequency identification tag by utilizing the RFID ranging device, so that first ranging data reaching a preset ranging range is determined according to the obtained data, an obtained scanning starting instruction is directly sent to a control terminal of the intelligent electronic lock, the scanning state of the intelligent electronic lock is controlled to be an opening state, namely, the first user is scanned, real-time scanning data is input into an intelligent fault identification model for multi-parameter matching, fault comparison is carried out, fault probability analysis is carried out on the fault comparison result according to a multi-parameter matching result, and first early warning information is obtained according to an analysis result. The technical effects of high-efficiency fault identification of the electronic door lock, shortening of feedback period and improvement of early warning efficiency and early warning quality are achieved.
Example two
Based on the same inventive concept as the electronic door lock fault recognition method based on the indirect detection method in the foregoing embodiments, as shown in fig. 4, the present application provides an electronic door lock fault recognition system based on the indirect detection method, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the distance measurement data output module 11 is used for measuring distance of a first user according to an RFID distance measurement device and outputting first distance measurement data, wherein the RFID distance measurement device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
the starting instruction acquiring module 12 is configured to acquire a scanning starting instruction when the first ranging data reach a preset ranging range;
the scanning data output module 13 is used for sending the scanning starting instruction to a control terminal of the intelligent electronic lock, controlling the scanning state of the intelligent electronic lock to be in an open state and outputting real-time scanning data based on the first user;
the identification model generation module 14 is used for generating a fault identification model according to the identification control type of the intelligent electronic lock by the identification model generation module 14;
the comparison result output module 15 is configured to input the real-time scan data into the fault identification model to perform multi-parameter matching, and output a fault comparison result, where the fault comparison result includes a multi-parameter matching result;
the early warning information output module 16, the early warning information output module 16 is configured to perform fault probability analysis on the fault comparison result according to the multi-parameter matching result, and output first early warning information.
Further, the system further comprises:
the return information obtaining unit is used for carrying out radio frequency tag identification according to the RFID ranging device and obtaining the return information of radio frequency tag identification;
the distance measurement data input unit is used for inputting a plurality of distance measurement data according to a plurality of radio frequency tags if the returned information identified by the radio frequency tags comprises the radio frequency tags, wherein each distance measurement data corresponds to one radio frequency tag;
and the first ranging data output unit is used for performing near-bit identification on the plurality of ranging data and outputting the first ranging data in the preset ranging range.
Further, the system further comprises:
the real-time pressure data acquisition unit is used for acquiring real-time pressure data according to the pressure sensor;
the indirect contact identification unit is used for carrying out indirect contact identification on the real-time scanning data if the real-time pressure data returns to be empty;
the multi-parameter matching result obtaining unit is used for inputting the real-time scanning data into an image recognition module in the fault recognition model for comparison based on the non-direct contact identification to obtain a multi-parameter matching result based on non-direct contact door lock recognition;
and the first fault probability output unit is used for outputting a first fault probability according to the multi-parameter matching result.
Further, the system further comprises:
the matching result setting unit is used for comparing according to the image recognition module and outputting a multi-parameter matching result based on non-direct contact door lock recognition, wherein the multi-parameter matching result comprises an image recognition abnormal parameter, an image comparison time parameter and a locking structure response parameter;
the fault rate obtaining unit is used for identifying unlocking acquisition fault rate, unlocking identification fault rate and unlocking execution fault rate according to the image identification abnormal parameter, the image comparison time parameter and the locking structure response parameter;
the fault probability output unit is used for outputting the first fault probability according to the unlocking identification fault rate, the unlocking identification fault rate and the unlocking execution fault rate.
Further, the system further comprises:
the direct contact identification unit is used for carrying out direct contact identification on the real-time scanning data if the real-time pressure data return is not empty;
the response parameter obtaining unit is used for inputting the real-time scanning data into an input identification module in the fault identification model for comparison based on a direct contact identifier to obtain input matching parameters and locking structure response parameters;
and the second fault probability output unit is used for outputting a second fault probability according to the input matching parameter and the locking structure response parameter.
Further, the system further comprises:
the real-time scanning mode obtaining unit is used for obtaining the real-time scanning mode of the first user;
the first early warning information output unit is used for outputting the first early warning information if the first early warning information is based on a real-time scanning mode of the first user;
the reminding information generation unit is used for generating reminding information for switching the scanning modes according to the first early warning information, wherein the reminding information is used for reminding the first user to execute another scanning mode different from the real-time scanning mode.
Further, the system further comprises:
the fault rate determining unit is used for analyzing the first early warning information output in a real-time scanning mode based on the first user and determining the fault rate corresponding to the response parameter of the locking structure;
the failure rate judging unit is used for judging whether the failure rate of the response parameters of the locking structure is larger than a preset failure rate or not;
and the reminding information closing unit is used for closing the reminding information for switching the scanning mode if the failure rate of the response parameters of the locking structure is larger than the preset failure rate.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (8)
1. The method is characterized by being applied to an electronic door lock fault recognition system which is in communication connection with an intelligent electronic lock and an RFID ranging device, and comprising the following steps:
the method comprises the steps that a first user is subjected to ranging according to the RFID ranging device, first ranging data are output, wherein the RFID ranging device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
when the first ranging data reach a preset ranging range, acquiring a scanning starting instruction;
the scanning starting instruction is sent to a control terminal of the intelligent electronic lock, and is used for controlling the scanning state of the intelligent electronic lock to be in an opening state and outputting real-time scanning data based on the first user;
generating a fault identification model according to the identification control type of the intelligent electronic lock;
inputting the real-time scanning data into the fault identification model for multi-parameter matching, and outputting a fault comparison result, wherein the fault comparison result comprises a multi-parameter matching result;
and carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result, and outputting first early warning information.
2. The method of claim 1, wherein the method further comprises:
performing radio frequency tag identification according to the RFID ranging device, and acquiring return information of radio frequency tag identification;
if the returned information identified by the radio frequency tag comprises a plurality of radio frequency tags, inputting a plurality of ranging data according to the radio frequency tags, wherein each ranging data corresponds to one radio frequency tag;
and performing near-bit recognition on the plurality of ranging data, and outputting first ranging data in the preset ranging range.
3. The method of claim 1, wherein the system further comprises a pressure sensor, the method further comprising:
acquiring real-time pressure data according to the pressure sensor;
if the real-time pressure data is returned to be empty, carrying out non-direct contact identification on the real-time scanning data;
inputting the real-time scanning data into an image recognition module in the fault recognition model for comparison based on the non-direct contact identification, and obtaining a multi-parameter matching result based on non-direct contact door lock recognition;
and outputting a first fault probability according to the multi-parameter matching result.
4. A method as claimed in claim 3, wherein the method further comprises:
according to the image recognition module, comparing, and outputting a multi-parameter matching result based on non-direct contact door lock recognition, wherein the multi-parameter matching result comprises an image recognition abnormal parameter, an image comparison time parameter and a locking structure response parameter;
identifying unlocking acquisition failure rate, unlocking identification failure rate and unlocking execution failure rate according to the image identification abnormal parameters, the image comparison time-consuming parameters and the locking structure response parameters;
and outputting the first fault probability according to the identification unlocking acquisition fault rate, the unlocking identification fault rate and the unlocking execution fault rate.
5. A method as claimed in claim 3, wherein the method further comprises:
if the real-time pressure data return is not empty, performing direct contact identification on the real-time scanning data;
inputting the real-time scanning data into an input identification module in the fault identification model for comparison based on a direct contact identifier to obtain input matching parameters and locking structure response parameters;
and outputting a second fault probability according to the input matching parameter and the locking structure response parameter.
6. The method of claim 5, wherein the method further comprises:
acquiring a real-time scanning mode of the first user;
outputting the first early warning information based on the real-time scanning mode of the first user;
and generating reminding information for switching the scanning modes according to the first early warning information, wherein the reminding information is used for reminding the first user to execute another scanning mode different from the real-time scanning mode.
7. The method of claim 6, wherein after obtaining the real-time scan pattern of the first user, the method further comprises:
analyzing the first early warning information output based on the real-time scanning mode of the first user, and determining the failure rate corresponding to the response parameters of the locking structure;
judging whether the failure rate of the response parameters of the locking structure is larger than a preset failure rate or not;
and if the failure rate of the response parameters of the locking structure is larger than the preset failure rate, closing the reminding information of switching the scanning modes.
8. An electronic door lock fault recognition system based on an indirect detection method, which is characterized by comprising:
the system comprises a ranging data output module, a first user and a second user, wherein the ranging data output module is used for ranging a first user according to an RFID ranging device and outputting first ranging data, the RFID ranging device comprises a radio frequency identification tag, and the radio frequency identification tag is recorded in mobile equipment of the first user;
the starting instruction acquisition module is used for acquiring a scanning starting instruction when the first ranging data reach a preset ranging range;
the scanning data output module is used for sending the scanning starting instruction to a control terminal of the intelligent electronic lock, controlling the scanning state of the intelligent electronic lock to be in an opening state and outputting real-time scanning data based on the first user;
the identification model generation module is used for generating a fault identification model according to the identification control type of the intelligent electronic lock;
the comparison result output module is used for inputting the real-time scanning data into the fault identification model to carry out multi-parameter matching and outputting a fault comparison result, wherein the fault comparison result comprises a multi-parameter matching result;
and the early warning information output module is used for carrying out fault probability analysis on the fault comparison result according to the multi-parameter matching result and outputting first early warning information.
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