CN115019809B - Method, apparatus, device, medium and program product for monitoring false entry prevention interval - Google Patents
Method, apparatus, device, medium and program product for monitoring false entry prevention interval Download PDFInfo
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- CN115019809B CN115019809B CN202210534414.7A CN202210534414A CN115019809B CN 115019809 B CN115019809 B CN 115019809B CN 202210534414 A CN202210534414 A CN 202210534414A CN 115019809 B CN115019809 B CN 115019809B
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/22—Interactive procedures; Man-machine interfaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
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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
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/04—Segmentation; Word boundary detection
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
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Abstract
The application relates to the field of electric power safety, and provides a monitoring method, a device, equipment, a medium and a program product for preventing false entry intervals. The method and the device can accurately verify the identity of the power operation personnel on the premise of not depending on the communication signal state of the server, and can be realized only by equipment with simpler structure and lower manufacturing cost. The method comprises the following steps: acquiring the name of an operation ticket; receiving the name of an operation ticket read by a guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result; if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result; and determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result.
Description
Technical Field
The present disclosure relates to the field of power security technologies, and in particular, to a method, apparatus, device, medium, and program product for monitoring an anti-misentry interval.
Background
With the development of the technical field of power safety, more and more substations choose a mode of carrying out multiple identity verifications on power operators entering an interval to avoid serious misoperation accidents such as equipment tripping, system power failure and the like which possibly cause major hidden trouble to power safety production caused by the fact that the power operators enter the interval by mistake.
At present, a method based on the combination of Bluetooth and NFC technology can be adopted to perform dual identity authentication on electric power operators, but the equipment structure required by the method is complex, the manufacturing cost is high, and the accuracy of performing the identity authentication on the electric power operators by using the method is highly dependent on the communication signal state of a server.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, device, medium and program product for monitoring an anti-misentry interval.
In a first aspect, the present application provides a method for monitoring an anti-misentry interval. The method comprises the following steps:
acquiring the name of an operation ticket;
receiving the name of an operation ticket read by a guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result;
if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result;
and determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result.
In a second aspect, the present application further provides a monitoring device for preventing a false entry interval. The device comprises:
the information acquisition module acquires the name of the operation ticket;
the first identification module is used for receiving the name of the operation ticket read by the guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result;
the second identification module is used for receiving the name of the operation ticket read by the operator if the first segmentation identification result represents that the name of the operation ticket read by the guardian is correct, and carrying out segmentation identification on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation identification result;
and the result judging module is used for determining whether the electronic lock at the interval needs to be opened or not according to the second segment identification result.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring the name of an operation ticket; receiving the name of an operation ticket read by a guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result; if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result; and determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring the name of an operation ticket; receiving the name of an operation ticket read by a guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result; if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result; and determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring the name of an operation ticket; receiving the name of an operation ticket read by a guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result; if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result; and determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result.
The above-mentioned method, device, apparatus, medium and program product for monitoring the false entry prevention interval first acquire the name of the operation ticket. And then, receiving the name of the operation ticket read by the guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result. And then, if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result. And finally, determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result. According to the scheme, through a voice segmentation recognition mode, the names of operation tickets read by guardianship and operators are respectively recognized and verified, so that the identity of the electric power operation personnel can be accurately verified on the premise of not depending on the communication signal state of the server, and the electric power operation personnel can be realized only through equipment with simple structure and low manufacturing cost.
Drawings
FIG. 1 is a flow chart of a method for monitoring an anti-misentry interval in one embodiment;
FIG. 2 is a flow diagram of a particular implementation of segmented speech recognition in one embodiment;
FIG. 3 is a flow chart illustrating a manner in which a subsequent monitoring process is performed according to the first segment identification result in one embodiment;
FIG. 4 is a flow chart illustrating a manner in which a monitoring device is switched from a sleep state to an active state in one embodiment;
FIG. 5 is a block diagram of a monitoring device for preventing false entry intervals in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for monitoring the error entry prevention interval can be applied to terminal execution. The terminal can be, but not limited to, various personal computers, notebook computers, tablet computers and internet of things devices.
In one embodiment, as shown in fig. 1, a method for monitoring an anti-misentering interval is provided, and the method is applied to a terminal for illustration, and includes the following steps:
step S101, the name of the operation ticket is acquired.
In this step, the original information of the operation ticket may be generated by submitting an application for acquiring the operation ticket from an external system by an operator; the recording form of the operation ticket can be paper form; the name of the ticket may be obtained on the basis that the original information of the ticket has been generated. Thus, in the case where the source of the original information forming the operation ticket and the premise of acquiring the name of the operation ticket are clarified, the name of the operation ticket may be acquired from an external system that has generated the original information of the operation ticket.
Step S102, receiving the name of the operation ticket read by the guardian, and carrying out segment recognition on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first segment recognition result.
In the step, the device for receiving the name of the operation ticket read by the guardian can be a single microphone or a double microphone, and the effect of positioning the voice direction can be realized when the double microphone is used; the name of the operation ticket read by the guardian can be generated by the guardian reading the name recorded in the operation ticket; the method comprises the steps of carrying out sectional identification on the names of operation tickets read by a guardian and the names of the operation tickets, namely correspondingly dividing the received names of the operation tickets read by the guardian and the names of the operation tickets acquired from an external system which generates original information of the operation tickets into a plurality of sections, and carrying out corresponding identification; the first segment recognition result is a result obtained by correspondingly recognizing the name of the operation ticket read by the guardian which is correspondingly divided into a plurality of segments and the name of the operation ticket; the means for obtaining the first segment recognition result may be an AI speech recognition module SNR9816.
Step S103, if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, the name of the operation ticket read by the operator is received, and the name of the operation ticket read by the operator and the name of the operation ticket are subjected to segmentation recognition to obtain a second segmentation recognition result.
In the step, the first segment identification result indicates that the name of the operation ticket read by the guardian is correct, which means that the name of the operation ticket read by the guardian is consistent with the name of the operation ticket obtained from an external system of the original information of the generated operation ticket through the first segment identification result; the device for receiving the name of the operation ticket read by the operator can be a single microphone or a double microphone, and the effect of positioning the voice azimuth can be realized when the double microphone is used; the name of the operation ticket read by the operator may be generated by the operator reading the name recorded in the operation ticket; the step of carrying out sectional identification on the names of the operation tickets read by the operator and the names of the operation tickets refers to dividing the received names of the operation tickets read by the operator into a plurality of sections corresponding to the names of the operation tickets acquired from an external system which generates the original information of the operation tickets, and carrying out corresponding identification; the second segment recognition result is a result obtained by correspondingly recognizing the names of the operation tickets read by the operators which are correspondingly divided into multiple segments and the names of the operation tickets; the means for obtaining the second segment recognition result may be an AI speech recognition module SNR9816.
Step S104, determining whether the electronic lock of the interval needs to be opened or not according to the second segment identification result.
In the step, according to the second segment recognition result, whether the name of the operation ticket read by the operator is consistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket is judged according to the second segment recognition result; and after the electronic lock at the opening interval is determined according to the second segment identification result, the current monitoring flow can be ended.
In the above monitoring method for preventing the wrong entering interval, firstly, the name of the operation ticket is obtained. And then, receiving the name of the operation ticket read by the guardian, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result. And then, if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result. And finally, determining whether the electronic lock with the interval needs to be opened or not according to the second segment identification result. According to the scheme, through a voice segmentation recognition mode, the names of operation tickets read by guardianship and operators are respectively recognized and verified, so that the identity of the electric power operation personnel can be accurately verified on the premise of not depending on the communication signal state of the server, and the electric power operation personnel can be realized only through equipment with simple structure and low manufacturing cost.
For the manner of splitting the operation ticket name according to the preset segmentation manner, in one embodiment, the step S102 further includes:
and correspondingly dividing the names of the operation tickets and the names of the operation tickets read by the guardian into a plurality of sections according to a preset segmentation mode. Wherein, can confirm the segmentation mode of presetting according to presetting and discern the fault-tolerant rate.
The preset recognition fault tolerance rate refers to a ratio that the name of the received operation ticket read by the guardian is allowed to be inconsistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket; when the names of the operation tickets which are correspondingly divided into multiple sections and read by the guardian are compared with the names of the operation tickets, the identification result can be considered to represent the name errors of the operation ticket read by the guardian as long as the comparison error rate of any section is higher than the preset identification fault tolerance rate; the method for determining the preset segmentation mode according to the preset recognition fault-tolerant rate refers to determining the character length contained in each segment according to the mode that the error rate of each segment after segmentation cannot be higher than the preset recognition fault-tolerant rate.
For example, if the recognition error tolerance is known to be 20%, when the operation ticket name having a total length of 11 characters is segmented, it can be divided into two segments each containing 4 characters and one segment containing 3 characters. Because the error rate of 1 character in 4 characters is 25%, the error rate of 1 character in 3 characters is 33%, and both 25% and 33% are lower than the preset recognition fault tolerance rate by 20%, the segmentation method meets the requirement that the error rate of each segment after segmentation cannot be higher than the preset recognition fault tolerance rate.
Further, for the embodiment of the segmented speech recognition, taking two segments each containing 4 characters and one segment containing 3 characters, which are segmented by the name of the operation ticket read by the guardian and have a total length of 11 characters, as shown in fig. 2, the method further includes:
step S201, the content consistent with the character length of the first segment cut from the name of the operation ticket acquired from the external system of the original information of the generated operation ticket is cut from the received name of the operation ticket read by the guardian, and the cut content is compared with the first segment cut from the name of the operation ticket acquired from the external system of the original information of the generated operation ticket, so as to obtain the first comparison result.
Step S202, if the error rate in the first comparison result is not higher than the preset recognition fault tolerance, the content with the same character length as the second segment of the name of the operation ticket obtained from the external system of the original information of the generated operation ticket is cut from the rest part of the received name of the operation ticket read by the guardian, and the cut content is compared with the second segment of the content obtained from the name of the operation ticket obtained from the external system of the original information of the generated operation ticket, so as to obtain a second comparison result.
If the error rate in the first comparison result is higher than the preset recognition fault-tolerant rate, ending the current comparison flow; if the error rate in the first comparison result is not higher than the preset recognition fault tolerance rate, continuing to cut out the content consistent with the character length of the second section cut out from the name of the operation ticket acquired from the external system of the original information of the generated operation ticket from the rest part of the received name of the operation ticket read by the guardian; the remaining part of the name of the operation ticket read by the guardian refers to the remaining part after the first piece of content is intercepted from the received name of the operation ticket read by the guardian.
In step S203, if the error rate in the second comparison result is not higher than the preset recognition error tolerance, content with the character length identical to the third segment of the name of the operation ticket obtained from the external system of the original information of the generated operation ticket is cut out from the rest of the received name of the operation ticket read by the guardian, and the cut-out content is compared with the third segment of the content obtained from the name of the operation ticket obtained from the external system of the original information of the generated operation ticket, so as to obtain a third comparison result.
If the error rate in the second comparison result is higher than the preset recognition fault-tolerant rate, ending the current comparison flow; if the error rate in the second comparison result is not higher than the preset recognition fault tolerance rate, continuing to cut out the content consistent with the character length of the third section cut out by the name of the operation ticket acquired from the external system of the original information of the generated operation ticket from the rest part of the received name of the operation ticket read by the guardian; the remaining part of the name of the operation ticket read by the guardian refers to the remaining part after the first and second pieces of content are intercepted from the received name of the operation ticket read by the guardian.
In step S204, if the error rate in the third comparison result is not higher than the preset recognition fault tolerance, it indicates that the name of the operation ticket read by the guardian is consistent with the name of the operation ticket obtained from the external system that has generated the original information of the operation ticket, so as to obtain a first segment recognition result that characterizes that the name of the operation ticket read by the guardian is correct.
If the error rate in the third comparison result is higher than the preset recognition fault-tolerant rate, ending the current comparison flow; if the error rate in the third comparison result is not higher than the preset recognition fault-tolerant rate, the name of the operation ticket read by the guardian is consistent with the name of the operation ticket obtained from an external system of the original information of the generated operation ticket, and therefore a first segmentation recognition result representing that the name of the operation ticket read by the guardian is correct can be obtained; after the first segment identification result indicating that the name of the operation ticket read by the guardian is correct is obtained, step S103 can be continuously executed.
In the above steps S201 to S204, the means for intercepting the content from the name of the operation ticket read by the guardian and comparing the content with the corresponding part of the operation ticket acquired from the external system that has generated the original information of the operation ticket may be the AI speech recognition module SNR9816;
according to the embodiment, the voice segmentation mode is determined according to the preset recognition fault tolerance, the name of the received operation ticket read by the guardian and the name of the operation ticket acquired from the external system of the original information of the generated operation ticket are correspondingly segmented into a plurality of sections according to the segmentation mode, a foundation is laid for the subsequent recognition comparison of the plurality of sections of voices respectively, and the accuracy of the voice recognition comparison result of the device can be effectively improved by improving the existing voice recognition device.
In one embodiment, the method further includes, for determining how to perform the subsequent monitoring process according to the first segment identification result:
and if the first segment identification result represents that the name of the operation ticket read by the guardian is wrong, ending the current monitoring flow.
If the first segment identification result indicates that the name of the operation ticket read by the guardian is correct, executing step S103, receiving the name of the operation ticket read by the operator, and carrying out segment identification on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segment identification result; and if the first segment identification result represents that the name of the operation ticket read by the guardian is wrong, ending the current monitoring flow. If the first segment identification result represents that the name of the operation ticket read by the guardian is wrong, the first segment identification result can indicate that the name of the operation ticket read by the guardian is inconsistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket; the method for indicating the correct name of the operation ticket read by the guardian can be to send out correct prompt tone; the method for indicating the name of the operation ticket read by the guardian is wrong can be to send out a wrong prompt tone; the device that emits the correct alert tone or the incorrect alert tone may be a 4 ohm 2.5W horn.
According to the embodiment, whether the current monitoring flow is needed or not is determined according to the received identification comparison result of the name of the operation ticket read by the guardian and the name of the operation ticket acquired from the external system of the original information of the generated operation ticket, so that a link with lower necessity in the monitoring flow for carrying out identity verification on the guardian is omitted, and the efficiency of carrying out identity verification on the guardian is effectively improved.
In one embodiment, as shown in fig. 3, the step 104 specifically includes:
step S301, if the second segment identification result indicates that the name of the operation ticket read by the operator is correct, the electronic lock at intervals is opened.
In the step, the second segment identification result indicates that the name of the operation ticket read by the operator is correct, which means that the name of the operation ticket read by the operator can be indicated to be consistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket through the second segment identification result; the method for indicating the correct name of the operation ticket read by the operator can be to send out correct prompt tone; the device that emits the correct alert tone may be a 4 ohm 2.5W horn; the mode of prompting that the electronic lock at intervals is opened can be to light an indicator lamp; the indicator light used for prompting that the electronic lock of the interval is started can be a bicolor LED controlled by GPIO; the spaced electronic locks may be electromagnetic locks controlled by relays.
Step S302, if the second segment identification result represents that the name of the operation ticket read by the operator is wrong, ending the current monitoring flow.
In the step, the second segment identification result represents that the name of the operation ticket read by the operator is wrong, namely that the name of the operation ticket read by the operator is inconsistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket can be indicated by the second segment identification result; the method for indicating the name of the operation ticket read by the operator is wrong can be to send out a wrong prompt tone; the device emitting the false alarm may be a 4 ohm 2.5W horn.
According to the embodiment, whether the electronic lock of the interval needs to be opened or not is determined according to the identification comparison result of the name of the received operation ticket read by the operator and the name of the operation ticket acquired from the external system of the original information of the generated operation ticket, so that the condition that the interval is wrongly entered due to the fact that the guardian and the operation are in error at the same time is effectively avoided in a mode of carrying out secondary voice identification and identity verification on the guardian and the operator who need to enter the interval.
For the manner in which the monitoring device is switched from the sleep state to the active state, in one embodiment, as shown in fig. 4, the method further includes:
step S401, receiving a voice wake-up word read by a guardian.
In this step, the voice wake-up word may be a word group of any character length that can be used for voice recognition; before enabling the function of switching the state of the monitoring device by the voice wake, the setting of the voice wake needs to be completed in the monitoring device in advance.
Step S402, if the voice wake-up word is consistent with the preset wake-up word, the operation is switched from the sleep state to the working state.
In the step, if the voice wake-up word is inconsistent with the preset wake-up word, the monitoring equipment continues to keep in a dormant state; if the voice wake-up word is consistent with the preset wake-up word, the monitoring equipment can be switched from the dormant state to the working state.
The above embodiment realizes the function of switching the state of the monitoring device according to the voice wake-up word by presetting the voice wake-up word, and provides a more convenient starting mode for the device applying the monitoring method for preventing the false entry interval.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a device for monitoring the false entry preventing interval, which is used for realizing the above-mentioned method for monitoring the false entry preventing interval. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the monitoring device for the one or more anti-misentering intervals provided below may be referred to the limitation of the monitoring method for the anti-misentering interval hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 5, there is provided a monitoring device for preventing a false entry interval, the device 500 comprising:
an information acquisition module 501 that acquires the name of an operation ticket;
the first recognition module 502 receives the name of the operation ticket read by the guardian, and performs segment recognition on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first segment recognition result;
the second recognition module 503 is configured to receive the name of the operation ticket read by the operator if the first segment recognition result indicates that the name of the operation ticket read by the guardian is correct, and perform segment recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segment recognition result;
and a result judging module 504, configured to determine whether the electronic lock needs to be opened according to the second segment identification result.
In one embodiment, the first identifying module 502 is configured to segment the name of the operation ticket and the name of the operation ticket read by the guardian into multiple segments according to a preset segmentation method.
In one embodiment, the first identifying module 502 is configured to determine the preset segmentation method according to a preset identification fault tolerance.
In one embodiment, the second identifying module 503 is configured to end the current monitoring procedure if the first segment identification result indicates that the name of the operation ticket read by the guardian is wrong.
In one embodiment, the result judging module 504 is configured to unlock the electronic lock at the interval if the second segment identification result indicates that the name of the operation ticket read by the operator is correct; and if the second segment identification result represents that the name of the operation ticket read by the operator is wrong, ending the current monitoring flow.
In one embodiment, the device is further configured to receive a voice wake word read by the guardian; and if the voice wake-up word is consistent with the preset wake-up word, switching from the dormant state to the working state.
The modules in the above-mentioned anti-misentering interval monitoring device may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a method of monitoring for false entry prevention intervals. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (7)
1. A method for monitoring an anti-misentry interval, the method comprising:
acquiring the name of an operation ticket;
receiving the name of an operation ticket read by a guardian, correspondingly dividing the name of the operation ticket and the name of the operation ticket read by the guardian into a plurality of sections according to a preset segmentation mode, and carrying out segmentation recognition on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first segmentation recognition result;
if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, receiving the name of the operation ticket read by the operator, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result;
determining whether the electronic lock of the interval needs to be opened or not according to the second segment identification result;
the method further comprises the steps of:
determining the preset segmentation mode according to a preset recognition fault tolerance; the preset recognition fault tolerance rate refers to a ratio that allows the received name of the operation ticket read by the guardian to be inconsistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket; when the names of the operation tickets which are correspondingly divided into multiple sections and read by the guardian are compared with the names of the operation tickets, the identification result can be considered to represent the name errors of the operation ticket read by the guardian as long as the comparison error rate of any section is higher than the preset identification fault tolerance; determining the preset segmentation mode according to the preset recognition fault tolerance rate, namely determining the character length contained in each segment according to the mode that the error rate of each segment after segmentation cannot be higher than the preset recognition fault tolerance rate.
2. The method according to claim 1, wherein the method further comprises:
and if the first segment identification result represents that the name of the operation ticket read by the guardian is wrong, ending the current monitoring flow.
3. The method of claim 1, wherein the determining whether the electronic lock needs to be unlocked according to the second segment identification result comprises:
if the second segment identification result indicates that the name of the operation ticket read by the operator is correct, opening the electronic lock at intervals;
and if the second segment identification result represents that the name of the operation ticket read by the operator is wrong, ending the current monitoring flow.
4. A method according to any one of claims 1 to 3, wherein prior to receiving the ticket name read by the guardian, the method further comprises:
receiving a voice wake-up word read by the guardian;
and if the voice wake-up word is consistent with the preset wake-up word, switching from the dormant state to the working state.
5. A tamper-resistant interval monitoring device, the device comprising:
the information acquisition module is used for acquiring the name of the operation ticket;
the first identification module is used for receiving the name of the operation ticket read by the guardian, correspondingly dividing the name of the operation ticket and the name of the operation ticket read by the guardian into a plurality of sections according to a preset sectional mode, and carrying out sectional identification on the name of the operation ticket read by the guardian and the name of the operation ticket to obtain a first sectional identification result; the method is also used for determining the preset segmentation mode according to the preset identification fault tolerance; the preset recognition fault tolerance rate refers to a ratio that the name of the received operation ticket read by the guardian is allowed to be inconsistent with the name of the operation ticket acquired from an external system of the original information of the generated operation ticket; when the names of the operation tickets which are correspondingly divided into multiple sections and read by the guardian are compared with the names of the operation tickets, the identification result can be considered to represent the name errors of the operation ticket read by the guardian as long as the comparison error rate of any section is higher than the preset identification fault tolerance rate; determining a preset segmentation mode according to a preset recognition fault-tolerant rate, namely determining the length of characters contained in each segment according to a mode that the error rate of each segment after segmentation cannot be higher than the preset recognition fault-tolerant rate;
the second recognition module is used for receiving the name of the operation ticket read by the operator if the first segmentation recognition result represents that the name of the operation ticket read by the guardian is correct, and carrying out segmentation recognition on the name of the operation ticket read by the operator and the name of the operation ticket to obtain a second segmentation recognition result;
and the result judging module is used for determining whether the electronic lock at the interval needs to be opened or not according to the second segment identification result.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. 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 of any of claims 1 to 4.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353487A (en) * | 2019-08-20 | 2020-06-30 | 国网浙江省电力有限公司台州供电公司 | Equipment information extraction method for transformer substation |
| CN111884332A (en) * | 2020-06-30 | 2020-11-03 | 国网山东省电力公司淄博供电公司 | Switching operation ticket clamp plate with intelligent guiding function |
| CN113470650A (en) * | 2021-05-11 | 2021-10-01 | 云南电网有限责任公司 | Operation ticket anti-error method based on voice recognition |
| CN114333853A (en) * | 2020-09-25 | 2022-04-12 | 华为技术有限公司 | Audio data processing method, equipment and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107134279B (en) * | 2017-06-30 | 2020-06-19 | 百度在线网络技术（北京）有限公司 | Voice awakening method, device, terminal and storage medium |
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- 2022-05-17 CN CN202210534414.7A patent/CN115019809B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353487A (en) * | 2019-08-20 | 2020-06-30 | 国网浙江省电力有限公司台州供电公司 | Equipment information extraction method for transformer substation |
| CN111884332A (en) * | 2020-06-30 | 2020-11-03 | 国网山东省电力公司淄博供电公司 | Switching operation ticket clamp plate with intelligent guiding function |
| CN114333853A (en) * | 2020-09-25 | 2022-04-12 | 华为技术有限公司 | Audio data processing method, equipment and system |
| CN113470650A (en) * | 2021-05-11 | 2021-10-01 | 云南电网有限责任公司 | Operation ticket anti-error method based on voice recognition |
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