CN117605355A - Door lock detection method, server, electronic device and readable storage medium - Google Patents

Door lock detection method, server, electronic device and readable storage medium Download PDF

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Publication number
CN117605355A
CN117605355A CN202311580482.8A CN202311580482A CN117605355A CN 117605355 A CN117605355 A CN 117605355A CN 202311580482 A CN202311580482 A CN 202311580482A CN 117605355 A CN117605355 A CN 117605355A
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CN
China
Prior art keywords
door lock
fault
information
abnormal
solution
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311580482.8A
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Chinese (zh)
Inventor
王妙玉
张先芳
周亮
吴宁泉
欧宝星
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Guangdong Hotata Smart Home Co Ltd
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Guangdong Hotata Smart Home Co Ltd
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Application filed by Guangdong Hotata Smart Home Co Ltd filed Critical Guangdong Hotata Smart Home Co Ltd
Priority to CN202311580482.8A priority Critical patent/CN117605355A/en
Publication of CN117605355A publication Critical patent/CN117605355A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00571Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
    • EFIXED CONSTRUCTIONS
    • E05LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05BLOCKS; ACCESSORIES THEREFOR; HANDCUFFS
    • E05B47/00Operating or controlling locks or other fastening devices by electric or magnetic means
    • EFIXED CONSTRUCTIONS
    • E05LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05BLOCKS; ACCESSORIES THEREFOR; HANDCUFFS
    • E05B49/00Electric permutation locks; Circuits therefor ; Mechanical aspects of electronic locks; Mechanical keys therefor
    • EFIXED CONSTRUCTIONS
    • E05LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05BLOCKS; ACCESSORIES THEREFOR; HANDCUFFS
    • E05B47/00Operating or controlling locks or other fastening devices by electric or magnetic means
    • E05B2047/0048Circuits, feeding, monitoring
    • E05B2047/0067Monitoring

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The embodiment of the application provides a door lock detection method, a server, electronic equipment and a readable storage medium, and relates to the field of artificial intelligence. The method is applied to a server, the server stores a plurality of abnormal reports in advance, each abnormal report comprises a fault reason and a corresponding solution, and the method comprises the following steps: receiving first abnormal information sent by a door lock terminal and second abnormal information sent by a user terminal; the first abnormal information and the second abnormal information are used for representing the abnormal state of the door lock end, and the door lock end and the user terminal have an association relation; determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information; determining a keyword of a first failure cause, and determining a first exception report containing the keyword from a plurality of exception reports according to the keyword; and sending a first exception report to the user terminal. The embodiment of the application realizes the rapid positioning of the fault reasons, and helps the user to efficiently dispatch, check and solve the fault problems of the door lock.

Description

Door lock detection method, server, electronic device and readable storage medium
Technical Field
The application relates to the technical field of artificial intelligence, in particular to a door lock detection method, a server, electronic equipment and a readable storage medium.
Background
With the progress of technology, functions and configuration that intelligent lock possess become more complicated, so when the lock breaks down, the user is difficult to carry out troubleshooting according to self experience, or need continuous attempt when carrying out troubleshooting with the help of the description, and the troubleshooting process consumes long and loaded down with trivial details, therefore, when the lock breaks down, has to check and repair inefficiency, the poor problem of user experience.
Disclosure of Invention
The embodiment of the application provides a door lock detection method, a server, electronic equipment and a readable storage medium, which are used for solving the technical problems of door lock fault investigation and low solving efficiency.
According to a first aspect of an embodiment of the present application, a door lock detection method is provided, and the method is applied to a server, where the server stores a plurality of exception reports in advance, each exception report includes a failure cause and a corresponding solution, and the method includes:
receiving first abnormal information sent by a door lock terminal and second abnormal information sent by a user terminal; the first abnormal information and the second abnormal information are used for representing the abnormal state of the door lock end, and the door lock end and the user terminal have an association relation;
determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information;
Determining a keyword of a first failure cause, and determining a first exception report containing the keyword from a plurality of exception reports according to the keyword;
and sending a first exception report to the user terminal.
In one possible implementation; the first determination module includes:
the input unit is used for inputting the first abnormal information and the second abnormal information into a pre-trained fault classification model to obtain a first fault reason output by the fault classification model;
the fault classification model is trained by taking first abnormal information of a sample door lock end and second abnormal information of an associated sample user terminal as training samples and taking fault reasons corresponding to the first abnormal information and the second abnormal information as training labels.
In another possible implementation; a second determination module comprising:
a number determining unit configured to determine the number of times that the keyword appears in the plurality of abnormality reports, respectively;
and a selection unit for selecting the abnormality report with the largest occurrence number of keywords as the first abnormality report.
In yet another possible implementation manner, a first control is further provided in the first exception report;
the server further includes:
the request receiving module is used for receiving a sending request sent by the terminal and sending a second abnormal report to the user terminal according to the sending request;
The method comprises the steps that a sending request is sent by a terminal in response to a first control;
the second exception report is an exception report containing all the causes of the failure and the corresponding solutions.
In yet another possible implementation, the server further includes:
the feedback receiving module is used for receiving feedback information sent by the user terminal; the feedback information is first feedback information or second feedback information; the first feedback information is used for representing that the solution is effective, and the second feedback information is used for representing that the solution is ineffective;
the indication module is used for sending notification information to the management terminal when the feedback information is the second feedback information; the notification information is used for indicating that the offline maintenance is performed;
and the optimizing module is used for receiving maintenance information sent by the management terminal and optimizing at least one abnormality report in the fault classification model and/or the plurality of abnormality reports according to the maintenance information.
In yet another possible implementation, the optimization module includes:
a first determining unit, configured to determine a first failure cause and a corresponding first solution in a first exception report;
a second determining unit configured to determine a second failure cause and a second solution in the maintenance information;
A comparison unit for comparing the first failure cause with the second failure cause and comparing the first solution with the second solution;
the optimizing unit is used for calculating a loss value between the first fault reason and the second fault reason by using a preset loss function when the first fault reason is inconsistent with the second fault reason and the solution corresponding to the second fault reason is consistent with the second solution in the maintenance information in a plurality of abnormal reports, and updating parameters of the fault classification model according to the loss value;
when the first solution is inconsistent with the second solution and the first fault reason is consistent with the second fault reason, modifying the first solution corresponding to the first fault reason in the stored first exception report into the second solution;
when the first fault cause is inconsistent with the second fault cause and the solution corresponding to the second fault cause is inconsistent with the second solution in the plurality of abnormal reports, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, updating parameters of the fault classification model according to the loss value, and modifying the solution corresponding to the second fault cause in the plurality of abnormal reports into the second solution.
According to a second aspect of the embodiments of the present application, there is provided a server storing a plurality of exception reports in advance, each exception report including a cause of failure and a corresponding solution, the server including:
the receiving module is used for receiving the first abnormal information sent by the door lock terminal and the second abnormal information sent by the user terminal; the first abnormal information and the second abnormal information are used for representing the abnormal state of the door lock end, and the door lock end and the user terminal have an association relation;
the first determining module is used for determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information;
a second determining module, configured to determine a keyword of a first failure cause, and determine a first exception report including the keyword from a plurality of exception reports according to the keyword;
and the sending module is used for sending the first exception report to the user terminal.
According to a third aspect of embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory, the processor implementing the steps of the method as provided in the first aspect when the program is executed.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as provided by the first aspect.
According to a fifth aspect of embodiments of the present application, there is provided a computer program product comprising computer instructions stored in a computer readable storage medium, which when read from the computer readable storage medium by a processor of a computer device, the computer instructions are executed by the processor causing the computer device to perform the steps of the method as provided by the first aspect.
The beneficial effects that technical scheme that this application embodiment provided brought are:
according to the door lock detection method, the first fault reason of the door lock is confirmed through the first abnormal information from the door lock end and the second abnormal information from the user terminal, the first abnormal report which is stored with the first fault reason and the corresponding solution in advance is quickly positioned according to the keywords of the first fault reason, the first abnormal report is sent to the user terminal, the user can be helped to quickly position the fault reason of the door lock end, the problem of the door lock end is solved as soon as possible, the troubleshooting efficiency and the solving efficiency of the fault reason are improved, and the user experience is generally improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic diagram of a system architecture for implementing a door lock detection method according to an embodiment of the present application;
fig. 2 is a flow chart of a door lock detection method applied to a server according to an embodiment of the present application;
fig. 3 is a schematic diagram of an abnormal information feedback interface of a user terminal according to an embodiment of the present application;
fig. 4 is a schematic diagram of a user terminal displaying a first exception report according to an embodiment of the present application;
fig. 5 is a schematic diagram of a user terminal displaying a second exception report according to an embodiment of the present application
FIG. 6 is a schematic diagram of optimizing according to maintenance information provided in an embodiment of the present application;
fig. 7 is an interaction flow diagram of a door lock detection method according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the drawings in the present application. It should be understood that the embodiments described below with reference to the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application, and the technical solutions of the embodiments of the present application are not limited.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and "comprising," when used in this application, specify the presence of stated features, information, data, steps, operations, elements, and/or components, but do not preclude the presence or addition of other features, information, data, steps, operations, elements, components, and/or groups thereof, all of which may be included in the present application. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein indicates that at least one of the items defined by the term, e.g., "a and/or B" may be implemented as "a", or as "B", or as "a and B".
The technical solutions of the embodiments of the present application and technical effects produced by the technical solutions of the present application are described below by describing several exemplary embodiments. It should be noted that the following embodiments may be referred to, or combined with each other, and the description will not be repeated for the same terms, similar features, similar implementation steps, and the like in different embodiments.
Fig. 1 is a schematic diagram of a system architecture for implementing a door lock detection method according to an embodiment of the present application, where the system architecture includes: a user terminal 120, a server 140, and a door lock terminal 160.
The user terminal 120 installs and runs an application program with a door lock detection method, and the terminal 120 is configured to send second anomaly information to the server when the door lock fails, and receive a first anomaly report returned by the server.
The terminal 120 is connected to the server 140 through a wireless network or a wired network.
Server 140 includes at least one of a server, a plurality of servers, a cloud computing platform, and a virtualization center. Illustratively, the server 140 includes a processor 144 and a memory 142, the memory 142 including a display module 1421, a control module 1422, and a receiving module 1423. The server 140 is used to provide background services for the application of the door lock detection method. Alternatively, the server 140 takes on the primary computing effort.
The door lock 160 is configured to send first anomaly information to the server 140 when the door lock fails, so that the server can locate a failure cause according to the first anomaly information.
Optionally, the device types of the terminal include: at least one of a smart phone, a tablet computer, an electronic book reader, a dynamic video expert compression standard audio layer 3 (MovingPicture Experts Group Audio Layer III, MP 3) player, a dynamic video expert compression standard audio layer 4 (Moving Picture Experts Group Audio Layer IV, MP 4) player, a laptop portable computer, and a desktop computer.
Those skilled in the art will recognize that the number of terminals may be greater or lesser. Such as the above-mentioned terminals may be only one, or the above-mentioned terminals may be several tens or hundreds, or more. The number of terminals and the device type are not limited in the embodiment of the present application.
The embodiment of the application provides a door lock detection method, which is applied to a server shown in fig. 1, and as shown in fig. 2, the method comprises the following steps:
s101, receiving first abnormal information sent by a door lock terminal and second abnormal information sent by a user terminal; the first abnormal information and the second abnormal information are used for representing abnormal states of the door lock end, and the door lock end and the user terminal have an association relation.
In this embodiment of the present application, the first anomaly information refers to anomaly information sent by the door lock terminal to the server for an anomaly state of the door lock, for example, error log records for recording information before and after the occurrence of the anomaly state of the door lock terminal, or an anomaly code for representing a corresponding anomaly state of the door lock, for example, anomaly code 001 represents that the battery of the door lock is low; the first anomaly information is used for informing the server that the door lock end has an anomaly state at present and informing the server of which anomaly states exist, and the first anomaly information sent to the server at least characterizes one anomaly condition of the door lock.
In this embodiment of the present application, the user terminal may provide an abnormal information feedback interface, where an abnormal condition of a door lock terminal that may be encountered daily is displayed in the interface, as shown in fig. 3, the interface displays a control that a door lock cannot be opened, the door lock cannot be closed, an alarm is given to the door lock, a handle cannot be normally reset after being pressed down, a battery of the door lock is insufficient, the door lock is not smooth to open, and a password, a fingerprint or a card is normally identified, and cannot be opened, where when a user finds that a certain abnormal condition occurs in the door lock, the user terminal may click on the control corresponding to the abnormal condition on the abnormal information feedback interface, so that the user terminal generates second abnormal information, where the second abnormal information includes the abnormal condition of the door lock found by the user itself.
That is, the first anomaly information in the embodiment of the application is the information of the anomaly state of the door lock, which is the information of the anomaly state of the door lock perceived by the user, and the second anomaly information is the information of the anomaly state of the door lock
In this embodiment of the present application, an association relationship may be pre-established between a door lock terminal and a user terminal, so the first abnormal information and the second abnormal information received by the server are abnormal information sent by the door lock terminal and the user terminal with the association relationship for the same door lock.
In this embodiment of the present application, on the basis of receiving the first abnormal information sent by the door lock end, the server may further receive second abnormal information sent by the user terminal for the associated abnormal state of the door lock end, where the second abnormal information is used for determining, by the server, a cause of a failure of the door lock end according to the first abnormal information and the second abnormal information together.
S102, determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information.
In the embodiment of the application, the acquired first abnormal information and second abnormal information can be sent to a technical support team, the first fault reason of the door lock is obtained from the analysis result of the technical support team, a fault classification model can be established through a machine learning model, a deep learning model or a rule engine and the like, and the first abnormal information and the second abnormal information are input into the fault classification model, so that the first fault reason of the door lock is determined.
In the embodiment of the application, the first abnormal information and the second abnormal information are input into a pre-trained fault classification model to obtain a first fault reason output by the fault classification model; the fault classification model is trained by taking first abnormal information of a sample door lock end and second abnormal information of an associated sample user terminal as training samples and taking fault reasons corresponding to the first abnormal information and the second abnormal information as training labels.
In the embodiment of the application, the fault classification model is trained in advance through historical data, the first abnormal information of the sample door lock end and the second abnormal information of the associated sample user terminal are taken as training samples, the second abnormal information of the associated sample user terminal refers to the representation form of the fault of the sample door lock end, and the fault reasons corresponding to the first abnormal information and the second abnormal information are taken as training labels, so that the fault classification model is trained.
In one example, one piece of abnormal information in the training sample is an abnormal log, the abnormal log records information that the lock tongue is not popped up before and after closing the door, and for the above-mentioned associated door lock terminal, the second information obtained from the user terminal is that the door cannot be closed, and the failure causes corresponding to the fact that the lock tongue is not popped up before and after closing the door and the door cannot be closed are lock body blocking, so that the failure classification model is trained by taking the "before and after closing the door" as the training sample and the lock body blocking as the training label.
In one example, when the server receives the first abnormal information sent by the door lock end and the second abnormal information sent by the user terminal associated with the door lock end, the received first abnormal information and the received second abnormal information are input into a trained fault classification model, and a first fault reason output by the fault classification model is obtained.
In the embodiment of the application, the fault reasons of the door lock in the abnormal state are confirmed through the first abnormal information and the second abnormal information and the information with two different dimensions, so that the accuracy of determining the fault reasons of the door lock is improved, and meanwhile, the efficiency of determining the fault reasons is also improved.
S103, determining a keyword of a first failure cause, and determining a first exception report containing the keyword from a plurality of exception reports according to the keyword; the server stores a plurality of abnormal reports in advance, wherein each abnormal report comprises a fault reason and a corresponding solution.
In the embodiment of the application, possible fault reasons, corresponding expression forms and corresponding solutions of various door locks are collected in advance and stored in an abnormality report respectively. In one example, the collected fault causes are classified as hardware faults, communication problems, power supply problems, etc., and then each fault cause and corresponding solution are stored under the corresponding classification in the form of an exception report.
Referring to table 1, a table of exception reports of embodiments of the present application is illustratively shown.
In the embodiment of the present application, the keyword of the first failure cause refers to content capable of summarizing the information of the first failure cause to the greatest extent. In an example, for example, the first failure cause is that the motor in the electronic lock body is damaged, and then the stored keyword may be extracted as the motor damage, and it should be noted that, in the embodiment of the present application, the keyword extraction method is not limited, which method is selected to perform the keyword extraction of the first failure cause is determined according to the specific use situation.
In one example, text content corresponding to a first failure cause is obtained, the first failure cause is analyzed to obtain semantic content corresponding to the first failure cause, and a corresponding keyword is extracted from the semantic content.
In the embodiment of the application, determining the occurrence times of keywords in a plurality of exception reports respectively; and selecting the exception report with the largest occurrence number of the keywords as a first exception report.
In the embodiment of the application, the first exception report containing the first failure reason corresponding to the keyword and the solution thereof is determined from a plurality of pre-stored exception reports according to the occurrence times of the keyword in the exception report.
In the embodiment of the application, the first exception report of the fault reason and the solution corresponding to the keyword is found out from the prestored plurality of exception reports by the keyword positioning method, so that the quick positioning of the solution is realized, and the user is helped to quickly check and solve the abnormal state of the door lock through the exception report by storing the fault reason and the exception report of the corresponding solution in advance, so that the troubleshooting efficiency of the fault is improved, and the difficulty level of fault problem processing is reduced. The experience efficiency of the user is improved.
S104, sending a first exception report to the user terminal.
In the embodiment of the application, after the server retrieves the first exception report through the keyword, the server sends the retrieval report with the keyword to the user terminal, so that the user terminal can check and process the exception state of the door lock according to the first exception report.
Referring to fig. 4, it is exemplarily shown that when the server sends a first exception report to the user terminal, the user terminal displays a prompt message of the existing solution, and when the user triggers the prompt message through the user terminal, the first exception report is displayed on the user terminal.
In the embodiment of the application, a first control is further arranged in the first exception report, a sending request sent by the terminal is received, and a second exception report is sent to the user terminal according to the sending request; the method comprises the steps that a sending request is sent by a terminal in response to a first control; the second exception report is an exception report containing all fault causes and corresponding solutions
In the embodiment of the application, the keyword part is also highlighted in the first exception report sent to the user terminal, so that the user is helped to quickly locate the key part summarized by the first exception report, and the experience of the user is improved.
In this embodiment of the present application, please refer to fig. 5, which illustrates an exemplary change of a user terminal page before and after the first control is triggered, where the first control is set in the first exception report, the first control is set at the bottom of the first exception report, when the user browses the first exception report, and considers that the content of the first exception report is not complete enough, the first control may be triggered by the user terminal, and the server responds to the first control and sends a second exception report including all fault reasons and corresponding solutions to the user terminal, and the user terminal page displays the second exception report for the user to check and solve the abnormal state by looking up the complete version of common exception information through the second exception report; the first abnormality report is a part of the second abnormality report, and when the user browses the first abnormality report through the user terminal and fails to solve the problem, the abnormality reports including all the fault causes and the corresponding solutions are used for checking the fault causes of the door lock one by one.
In the embodiment of the application, feedback information sent by a user terminal is received; the feedback information is first feedback information or second feedback information; the first feedback information is used for representing that the solution is effective, and the second feedback information is used for representing that the solution is ineffective; when the feedback information is the second feedback information, sending notification information to the management terminal; the notification information is used for indicating that the offline maintenance is performed; and receiving maintenance information sent by the management terminal, and optimizing the fault classification model and/or a plurality of abnormal reports according to the maintenance information.
In this embodiment of the present application, the server provides a feedback entry of an exception report to the end user, feeds back whether the solution provided by the first exception report and the second exception report is valid, when the server receives the first feedback information sent by the user terminal, indicates that the first exception report sent to the user terminal has helped to check and solve the problem of the failure occurring in the door lock, when the server receives the second feedback information sent by the user terminal, indicates that the first exception report sent by the server to the user terminal cannot help the user to solve the problem of the failure occurring in the door lock, and determines that maintenance personnel needs to be notified to perform maintenance offline at this time, so that the management terminal notifies the maintenance personnel of the failure of the door lock of the user through the notification information, after the maintenance personnel has performed maintenance on line to solve the problem of the failure of the door lock of the user, the management terminal sends a piece of maintenance information including the failure cause and the solution to the server, and after the server receives the maintenance information sent by the management terminal, the server may optimize the failure classification model based on the maintenance information, and may also optimize the multiple exception reports stored by the server, and may also simultaneously optimize the failure classification and store multiple failure classification models and improve the failure classification and the failure localization model.
In the embodiment of the application, determining a first fault reason and a corresponding first solution in a first exception report; determining a second failure cause and a second solution in the repair information; the first failure cause is compared to the second failure cause and the first solution is compared to the second solution.
In the embodiment of the application, since the second fault cause (actual fault cause) and the second solution (actual solution) of the door lock can be obtained through the maintenance information, the second fault cause in the maintenance process is compared with the first fault cause in the first exception report pushed by the server, and the second solution in the maintenance process is compared with the first solution in the first exception report pushed by the server, so that whether the fault cause positioning needs to be optimized or whether the determination of the first exception report needs to be optimized is determined, and thus the part with the problem is optimized.
In the embodiment of the application, when the first fault cause is inconsistent with the second fault cause, and in a plurality of exception reports, a solution corresponding to the second fault cause is consistent with the second solution in the maintenance information, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, and updating parameters of a fault classification model according to the loss value;
Referring to fig. 6, three cases of optimization according to maintenance information are exemplarily shown, and the following details are given:
in this embodiment of the present application, the first failure cause is inconsistent with the second failure cause, which indicates that the server has a problem in determining the portion of the failure cause, and when the solutions corresponding to the second failure cause in the plurality of exception reports are consistent with the second solutions, it is indicated that the correspondence between the failure cause and the solution stored in the plurality of exception reports is not problematic at this time, so that the failure classification model for determining the failure cause needs to be optimized, firstly, a loss value between the first failure cause and the second failure cause is calculated according to a preset loss function, and model parameters of the failure classification model are optimized according to the loss value obtained by calculating the loss function, where the loss function may be a loss function such as mean square error loss, average absolute error loss, and the like.
In the embodiment of the application, when the first solution is inconsistent with the second solution and the first failure reason is consistent with the second failure reason, modifying the first solution corresponding to the first failure reason in the stored first exception report into the second solution;
In the embodiment of the application, when the first solution is inconsistent with the second solution and the first failure cause is consistent with the second failure cause, the exception report of the solution corresponding to the failure cause stored in advance is described to have a problem, so that the solution corresponding to the failure cause in the exception report needs to be repaired.
When the first fault cause is inconsistent with the second fault cause and the solution corresponding to the second fault cause is inconsistent with the second solution in the plurality of abnormal reports, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, updating parameters of the fault classification model according to the loss value, and modifying the solution corresponding to the second fault cause in the plurality of abnormal reports into the second solution.
In the embodiment of the application, the first fault reason is inconsistent with the second fault reason, it is stated that the fault classification model needs to be optimized, and when the solution corresponding to the second fault reason is inconsistent with the second solution in the stored exception report, it is stated that the corresponding relationship between the fault reason and the solution in the stored exception report is problematic, therefore, firstly, the loss value between the first fault reason and the second fault reason is calculated according to the preset loss function, the model parameters of the fault classification model are optimized according to the loss value calculated by the loss function, and then the solution corresponding to the second fault reason in the stored exception report is modified into the second solution.
The current fault cause determining method and the solutions corresponding to the fault causes are accurately known through feedback information, when problems exist in the fault cause determining method and the solutions corresponding to the fault causes summarized by the abnormal reports, the content is optimized and corrected timely through corresponding means, the solutions corresponding to the fault causes and the fault causes can be more accurately positioned in the subsequent door lock detection process, a user is helped to timely check and solve the fault problems of the door lock, and user experience is improved.
Referring to fig. 7, an interactive flowchart of a door lock detection method is shown, which specifically includes the following steps:
s201, the door lock terminal detects its own state, and when an abnormal state is detected, step S202 is executed.
In one example, the door lock end passes through an installed built-in sensor, the sensor is connected with the controller, logic of an abnormal condition is set in the controller, when an abnormal state occurs in the door lock, such as the door lock cannot be closed, the door lock cannot be opened, the battery power is lower than a preset threshold value or communication is impossible, the abnormality is triggered, and when the controller detects the abnormal condition, first abnormality information is sent to the server.
S202, the door lock terminal sends first abnormal information to the server.
In one example, the door lock sends the first anomaly information to the server via a hot spot, bluetooth, or other communication protocol.
S203, the user terminal sends second abnormal information to the server.
In one example, when the user observes that the associated door lock terminal is in an abnormal state, the second abnormal information is sent to the server through the user terminal.
In the embodiment of the present application, the timing relationship between the steps S202 and S203 is not limited, and the two steps may be performed simultaneously or sequentially, and the step S202 may be performed before the step S203 or may be performed after the step S203.
S204, determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information.
In one example, the failure cause of the door lock is analyzed by a technical team, or the first abnormality information and the second abnormality information are input into the failure classification model, so as to obtain the first failure cause output by the failure classification model.
S205, determining a keyword of a first failure cause, and determining a first exception report containing the keyword and a first solution corresponding to the first failure cause from a plurality of exception reports stored in advance according to the keyword.
In one example, after determining the keyword of the first failure cause, the server performs a keyword search, determines a first exception report carrying the keyword, and highlights the keyword in the first exception report.
S206, the server sends a first exception report to the user terminal.
S207, the user terminal initiates a sending request of the second exception report to the server.
In one example, a first control is arranged at the bottom of the first exception report, and when the user reads the first exception report and wants to browse the exception report containing all fault reasons and corresponding solutions, the user can click the first control to initiate a request for sending the second exception report to the server.
S208, sending a second exception report to the user terminal.
The door lock detection method provided by the embodiment of the application confirms the first fault reason of the door lock from the first abnormal information from the door lock end and the second abnormal information from the user terminal, rapidly locates the first abnormal report which is pre-stored with the first fault reason and the corresponding solution according to the key words of the first fault reason, and sends the first abnormal report to the user terminal, thereby helping the user rapidly locate the fault reason of the door lock end, rapidly solving the problem of the door lock end, improving the troubleshooting efficiency and the solving efficiency of the fault reason, generally improving the user experience, in addition, rapidly and accurately determining the first fault reason through the fault classification model trained by the historical first abnormal information and the second abnormal information, the method improves the accuracy of determining the first fault cause, determines the keyword of the first fault cause through a keyword retrieval method after the first fault cause is acquired, rapidly locates the first exception report which is pre-stored with the first fault cause and the corresponding solution according to the keyword, helps rapidly locate the solution of the fault cause, improves the determination efficiency of the first exception report, realizes that a user can trigger the first control through the first control in the first exception report when the user needs to watch the second exception report, acquires the second exception report, helps the user to more completely know the fault cause and the solution of the door lock, is beneficial to rapidly troubleshooting the fault cause of the door lock and solving the fault problem of the door lock, additionally provides a feedback information receiving interface, and the user can send feedback information to the server through the terminal, the server determines whether the current fault classification model and the abnormality report have problems according to the feedback information, and optimizes the fault classification model and the abnormality report in time under the condition that the problems exist, so that the accuracy of determining the fault cause and the solution of the door lock detection method is further improved.
The embodiment of the present application provides a server, as shown in fig. 8, the server 80 may include: a receiving module 801, a first determining module 802, a second determining module 803, and a transmitting module 804, wherein,
a receiving module 801, configured to receive first anomaly information sent by a door lock terminal and second anomaly information sent by a user terminal; the first abnormal information and the second abnormal information are used for representing the abnormal state of the door lock end, and the door lock end and the user terminal have an association relation;
a first determining module 802, configured to determine a first failure cause of the door lock according to the first anomaly information and the second anomaly information;
a second determining module 803, configured to determine a keyword of the first failure cause, and determine a first exception report including the keyword from a plurality of exception reports according to the keyword;
a sending module 804, configured to send a first exception report to the user terminal.
According to the server provided by the embodiment of the invention, the first fault reason of the door lock is confirmed through the first abnormal information from the door lock end and the second abnormal information from the user terminal, the first fault reason of the door lock is confirmed from the abnormal information of two different dimensions, the first abnormal report which is stored with the first fault reason and the corresponding solution in advance is rapidly positioned according to the key word of the first fault reason, and the first abnormal report is sent to the user terminal, so that the user can be helped to rapidly position the fault reason of the door lock end, the problem of the door lock end is solved as soon as possible, the troubleshooting efficiency and the solving efficiency of the fault reason are improved, and the experience of the user is generally improved.
The apparatus of the embodiments of the present application may perform the method provided by the embodiments of the present application, and implementation principles of the method are similar, and actions performed by each module in the apparatus of each embodiment of the present application correspond to steps in the method of each embodiment of the present application, and detailed functional descriptions of each module of the apparatus may be referred to in the corresponding method shown in the foregoing, which is not repeated herein.
Further, in one possible implementation; the first determination module includes:
the input unit is used for inputting the first abnormal information and the second abnormal information into a pre-trained fault classification model to obtain a first fault reason output by the fault classification model;
the fault classification model is trained by taking first abnormal information of a sample door lock end and second abnormal information of an associated sample user terminal as training samples and taking fault reasons corresponding to the first abnormal information and the second abnormal information as training labels.
In another possible implementation; a second determination module comprising:
a number determining unit configured to determine the number of times that the keyword appears in the plurality of abnormality reports, respectively;
and a selection unit for selecting the abnormality report with the largest occurrence number of keywords as the first abnormality report.
In yet another possible implementation manner, a first control is further provided in the first exception report;
the server further includes:
the request receiving module is used for receiving a sending request sent by the terminal and sending a second abnormal report to the user terminal according to the sending request;
the method comprises the steps that a sending request is sent by a terminal in response to a first control;
the second exception report is an exception report containing all the causes of the failure and the corresponding solutions.
In yet another possible implementation, the server further includes:
the feedback receiving module is used for receiving feedback information sent by the user terminal; the feedback information is first feedback information or second feedback information; the first feedback information is used for representing that the solution is effective, and the second feedback information is used for representing that the solution is ineffective;
the indication module is used for sending notification information to the management terminal when the feedback information is the second feedback information; the notification information is used for indicating that the offline maintenance is performed;
and the optimizing module is used for receiving maintenance information sent by the management terminal and optimizing the fault classification model and/or the plurality of abnormal reports according to the maintenance information.
In yet another possible implementation, the optimization module includes:
A first determining unit, configured to determine a first failure cause and a corresponding first solution in a first exception report;
a second determining unit configured to determine a second failure cause and a second solution in the maintenance information;
a comparison unit for comparing the first failure cause and the first solution with the second failure cause and the second solution;
the optimizing unit is used for calculating a loss value between the first fault reason and the second fault reason by using a preset loss function when the first fault reason is inconsistent with the second fault reason and the solution corresponding to the second fault reason is consistent with the second solution in the maintenance information in a plurality of abnormal reports, and updating parameters of the fault classification model according to the loss value;
when the first solution is inconsistent with the second solution and the first fault reason is consistent with the second fault reason, modifying the first solution corresponding to the first fault reason in the stored first exception report into the second solution;
when the first fault cause is inconsistent with the second fault cause and the solution corresponding to the second fault cause is inconsistent with the second solution in the plurality of abnormal reports, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, updating parameters of the fault classification model according to the loss value, and modifying the solution corresponding to the second fault cause in the plurality of abnormal reports into the second solution.
An electronic device (computer apparatus/device/system) according to an embodiment of the present application includes a memory, a processor, and a computer program stored on the memory, where the processor executes the computer program to implement steps of a door lock detection method, and compared with the related art, the method can be implemented: the first abnormality information from the door lock end and the second abnormality information from the user terminal are used for confirming the first fault reason of the door lock from the abnormality information of two different dimensions, the first abnormality report which is stored with the first fault reason and the corresponding solution in advance is rapidly positioned according to the key words of the first fault reason, and the first abnormality report is sent to the user terminal, so that a user can be helped to rapidly position the fault reason of the door lock end, the problem of the door lock end is solved as soon as possible, the troubleshooting efficiency and the solving efficiency of the fault reason are improved, and the experience of the user is generally improved.
In an alternative embodiment, there is provided an electronic device, as shown in fig. 9, the electronic device 4000 shown in fig. 9 includes: a processor 4001 and a memory 4003. Wherein the processor 4001 is coupled to the memory 4003, such as via a bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004, the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data, etc. It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The processor 4001 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 4002 may include a path to transfer information between the aforementioned components. Bus 4002 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 9, but not only one bus or one type of bus.
Memory 4003 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store a computer program and that can be Read by a computer.
The memory 4003 is used for storing a computer program that executes an embodiment of the present application, and is controlled to be executed by the processor 4001. The processor 4001 is configured to execute a computer program stored in the memory 4003 to realize the steps shown in the foregoing method embodiment.
Among them, the electronic device package may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 9 is merely an example, and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
Embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, where the computer program, when executed by a processor, may implement the steps and corresponding content of the foregoing method embodiments. Compared with the prior art, can realize: the first abnormality information from the door lock end and the second abnormality information from the user terminal are used for confirming the first fault reason of the door lock from the abnormality information of two different dimensions, the first abnormality report which is stored with the first fault reason and the corresponding solution in advance is rapidly positioned according to the key words of the first fault reason, and the first abnormality report is sent to the user terminal, so that a user can be helped to rapidly position the fault reason of the door lock end, the problem of the door lock end is solved as soon as possible, the troubleshooting efficiency and the solving efficiency of the fault reason are improved, and the experience of the user is generally improved.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The embodiments of the present application also provide a computer program product, which includes a computer program, where the computer program can implement the steps of the foregoing method embodiments and corresponding content when executed by a processor. Compared with the prior art, can realize:
the first abnormality information from the door lock end and the second abnormality information from the user terminal are used for confirming the first fault reason of the door lock from the abnormality information of two different dimensions, the first abnormality report which is stored with the first fault reason and the corresponding solution in advance is rapidly positioned according to the key words of the first fault reason, and the first abnormality report is sent to the user terminal, so that a user can be helped to rapidly position the fault reason of the door lock end, the problem of the door lock end is solved as soon as possible, the troubleshooting efficiency and the solving efficiency of the fault reason are improved, and the experience of the user is generally improved.
The terms "first," "second," "third," "fourth," "1," "2," and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the present application described herein may be implemented in other sequences than those illustrated or otherwise described.
It should be understood that, although the flowcharts of the embodiments of the present application indicate the respective operation steps by arrows, the order of implementation of these steps is not limited to the order indicated by the arrows. In some implementations of embodiments of the present application, the implementation steps in the flowcharts may be performed in other orders as desired, unless explicitly stated herein. Furthermore, some or all of the steps in the flowcharts may include multiple sub-steps or multiple stages based on the actual implementation scenario. Some or all of these sub-steps or phases may be performed at the same time, or each of these sub-steps or phases may be performed at different times, respectively. In the case of different execution time, the execution sequence of the sub-steps or stages may be flexibly configured according to the requirement, which is not limited in the embodiment of the present application.
The foregoing is merely an optional implementation manner of some implementation scenarios of the present application, and it should be noted that, for those skilled in the art, other similar implementation manners based on the technical ideas of the present application are adopted without departing from the technical ideas of the solution of the present application, which also belongs to the protection scope of the embodiments of the present application.

Claims (10)

1. The door lock detection method is characterized by being applied to a server, wherein the server stores a plurality of abnormal reports in advance, each abnormal report comprises a fault reason and a corresponding solution, and the method comprises the following steps:
receiving first abnormal information sent by a door lock terminal and second abnormal information sent by a user terminal; the first abnormal information and the second abnormal information are used for representing abnormal states of the door lock terminal, and the door lock terminal and the user terminal have an association relation;
determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information;
determining a keyword of the first fault cause, and determining a first exception report containing the keyword from the plurality of exception reports according to the keyword;
and sending the first exception report to the user terminal.
2. The door lock detection method according to claim 1, wherein the determining a first failure cause of a door lock based on the first abnormality information and the second abnormality information includes:
inputting the first abnormal information and the second abnormal information into a pre-trained fault classification model to obtain a first fault reason output by the fault classification model;
The fault classification model is trained by taking first abnormal information of a sample door lock end and second abnormal information of an associated sample user terminal as training samples and taking fault reasons corresponding to the first abnormal information and the second abnormal information as training labels.
3. The door lock detection method according to claim 1, wherein the determining, from the plurality of exception reports, a first exception report including a keyword according to the keyword, includes:
determining the number of times the keyword appears in the plurality of exception reports respectively;
and selecting the exception report with the largest occurrence number of the keywords as the first exception report.
4. The door lock detection method according to claim 1, wherein a first control is further provided in the first abnormality report;
the method further comprises the steps of:
receiving a sending request sent by a terminal, and sending a second abnormal report to the user terminal according to the sending request;
the sending request is sent by the terminal in response to the first control being triggered;
the second exception report is an exception report that includes all fault causes and corresponding solutions.
5. The door lock detection method according to claim 2, further comprising, after transmitting the first abnormality report to the user terminal:
receiving feedback information sent by the user terminal; the feedback information is first feedback information or second feedback information; the first feedback information is used for representing that the solution is valid, and the second feedback information is used for representing that the solution is invalid;
when the feedback information is second feedback information, sending notification information to a management terminal; the notification information is used for indicating to conduct downlink maintenance;
and receiving maintenance information sent by the management terminal, and optimizing at least one abnormality report in the fault classification model and/or the plurality of abnormality reports according to the maintenance information.
6. The door lock detection method according to claim 5, wherein optimizing the fault classification model and/or at least one of the plurality of exception reports according to the maintenance information includes:
determining a first failure cause and a corresponding first solution in the first exception report;
determining a second failure cause and a second solution in the repair information;
Comparing the first fault cause with the second fault cause, and comparing the first solution with the second solution;
when the first fault cause is inconsistent with the second fault cause and the solutions corresponding to the second fault cause are consistent with the second solutions in the maintenance information in the plurality of abnormal reports, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, and updating parameters of the fault classification model according to the loss value;
when the first solution is inconsistent with the second solution and the first failure cause is consistent with the second failure cause, modifying the first solution corresponding to the first failure cause in the stored first exception report to the second solution;
when the first fault cause is inconsistent with the second fault cause and the solution corresponding to the second fault cause is inconsistent with the second solution in the plurality of exception reports, calculating a loss value between the first fault cause and the second fault cause by using a preset loss function, updating parameters of the fault classification model according to the loss value, and modifying the solution corresponding to the second fault cause in the plurality of exception reports to the second solution.
7. A server, wherein the server stores a plurality of abnormality reports in advance, each abnormality report including a cause of a failure and a corresponding solution, the server comprising:
the receiving module is used for receiving the first abnormal information sent by the door lock terminal and the second abnormal information sent by the user terminal; the first abnormal information and the second abnormal information are used for representing abnormal states of the door lock terminal, and the door lock terminal and the user terminal have an association relation;
the first determining module is used for determining a first failure reason of the door lock according to the first abnormal information and the second abnormal information;
a second determining module, configured to determine a keyword of the first failure cause, and determine a first exception report including the keyword from the plurality of exception reports according to the keyword;
and the sending module is used for sending the first exception report to the user terminal.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method according to any one of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-6.
CN202311580482.8A 2023-11-23 2023-11-23 Door lock detection method, server, electronic device and readable storage medium Pending CN117605355A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311580482.8A CN117605355A (en) 2023-11-23 2023-11-23 Door lock detection method, server, electronic device and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311580482.8A CN117605355A (en) 2023-11-23 2023-11-23 Door lock detection method, server, electronic device and readable storage medium

Publications (1)

Publication Number Publication Date
CN117605355A true CN117605355A (en) 2024-02-27

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