An intelligent management method and system for elevator detection process

Abstract

The present invention discloses an intelligent management method and system for the elevator inspection process, which belongs to the technical field of special equipment safety supervision. The method includes: spatial dual authentication using elevator identification code and elevator scene specified NFC position verification, and multiple authentication consisting of biometrics; constructing a dynamic and controllable detection reasonable working time correction algorithm model; the system receives and compares the mainboard detection signal; specifies personnel and smart wearable devices; sets multiple detection alarms; automatically pairs and compares independent information of personnel, equipment and environment; uses NFC cards and broadcasts detection procedures one by one; alarm lock and recovery require specified NFC scanning to unlock; tasks are started one by one, and duration and signal trigger dynamic detection; video automatically generates structured files with scenes and timestamps; it can realize spatial dual verification of inspection personnel, multiple authentication of inspections and full-link traceability of inspection processes, standardization and normalization of inspection operations, and intelligent evaluation of inspection quality, effectively solving industry pain points such as false detection and illegal operations.

Description

Technical Field

[0001] The present invention relates to the technical field of special equipment safety supervision, and specifically to an intelligent management method and system for elevator inspection processes based on the Internet of Things, spatial positioning, and artificial intelligence technologies, which is suitable for intelligent supervision of elevator inspection processes. Background Art

[0002] Some elevator inspections are often perfunctory and involve false inspections, resulting in inadequate inspections and potential elevator problems not being discovered and addressed in a timely manner. Existing methods and systems primarily involve developing handheld elevator inspection terminals that automatically generate inspection records after scanning equipment identification codes, submitting inspection records for review after recording data on the handheld terminal, taking photos and videos of the site for archiving, and automatically generating inspection reports. However, these methods and systems suffer from the following deficiencies:

[0003] 1. Traditional elevator inspection and management systems simply use elevator code scanning to identify elevators and begin inspections. However, this can lead to false inspections, such as not performing inspections at designated elevator locations, perfunctory inspections, and uncontrolled inspection durations.

[0004] 2. Existing intelligent testing equipment lacks multi-dimensional process monitoring, making it difficult to prevent illegal operations such as unauthorized inspections, shortened working hours, etc.

[0005] 3. The quality assessment of testing relies on manual review after the fact, lacking real-time early warning and process intervention mechanisms. This leads to non-standard testing steps or omissions, resulting in low testing quality. It is also prone to slacking off on testing and delaying work hours, resulting in uneven testing time and quality.

[0006] 4. Since the existing system does not standardize the project content, when conducting video verification, it is necessary to watch the entire video and find the corresponding detection content, which leads to problems such as high verification difficulty and slow verification. Summary of the Invention

[0007] (1) Technical issues to be resolved

[0008] In order to overcome the shortcomings of the existing technology, an intelligent management method and system for the elevator inspection process is proposed to solve the problem that when the existing technology is used, the management system simply scans the elevator to identify the corresponding elevator entering the site. After entering the site, it is not standardized whether each item has been inspected and whether it has arrived at the designated location for inspection. The inspection content can be completed in advance without the inspection personnel arriving at the designated location for inspection. At the same time, there is no standardization for whether the inspection personnel have lazy behaviors during the inspection process, which is prone to false inspections or unreported replacement inspections.

[0009] It is easy for inspectors to make mistakes in memory, resulting in irregularities or omissions in inspection steps, leading to low inspection quality. At the same time, it is easy for inspectors to neglect inspections and delay work hours, resulting in uneven inspection time and quality.

[0010] The existing system does not standardize the project content. When conducting video verification, it is necessary to watch the entire video and find the corresponding detection content, which leads to problems such as high verification difficulty and slow verification.

[0011] (2) Technical solution

[0012] The present invention is implemented through the following technical solution: The present invention proposes an intelligent management method for an elevator detection process, the method comprising the following steps:

[0013] S1: Enter the identification code of each elevator and divide the detection scene options of the car, machine room, car roof and pit for each elevator. Enter the independent and elevator-bound NFC card information for each scene option and install the NFC card in the corresponding position of the corresponding elevator;

[0014] S2: Create multiple test items in sequence in the scene detection options. For each test item, set the test requirements, initial minimum working hours, and maximum working hours. Set the time range for calculating the average of the minimum working hours. The system automatically adjusts the minimum working hours by proportionally adjusting the average of the highest proportion of the minimum working hours with the average of the second and third highest proportions, and automatically adjusts the maximum working hours at fixed intervals.

[0015] S3: Connect the elevator's switch trigger signal to the system and set the corresponding signal trigger identification item according to the detection content;

[0016] S4: Enter the smart wearable device information and designate the inspector to wear the smart wearable device;

[0017] S5: Create pre-alarms and alarm lists. The alarm list includes timeout alarms, silent alarms, wear-away alarms, and out-of-positioning alarms.

[0018] S6: The system pairs the NFC card information, designated inspector, and designated smart wearable device information;

[0019] S7: The inspector scans the elevator identification code to confirm the elevator information and performs facial recognition to enter the site;

[0020] S8: Scan the scene NFC card, and the system compares the scene information with the paired information in S7. If the comparison is correct, it will automatically start recording, recording, and broadcasting the detection content, and start the detection content timing. If the minimum working time is not reached, the current detection content cannot be completed and the next detection content cannot be started. For detection contents with switch actions, they must also be compared with the signal set in S3. If the maximum working time is exceeded, a timeout alarm will be triggered;

[0021] S9: The inspection form will be locked when an alarm is triggered or the inspector manually pauses the inspection form. To unlock the inspection form, the NFC card corresponding to the scenario must be re-identified.

[0022] S10: End the inspection order, make notes for unqualified orders and generate the next re-inspection time. For qualified orders, the video files are automatically integrated into one and the timestamp and scene node are automatically generated. The inspection content and working hours are automatically counted.

[0023] Furthermore, the smart wearable device has NFC recognition, voice broadcast, intercom, positioning, camera, vibration sensing and wear recognition functions;

[0024] In S5, set the corresponding alarm trigger duration and pre-alarm duration, and set the number of pre-alarms. If the pre-alarm is triggered before the number of pre-alarms is reached, the detection content will not be locked. After the number of pre-alarms is reached, the pre-alarm will no longer be triggered. When the alarm is triggered, an alarm signal will be sent to the supervision account. The supervision account can connect to the smart wearable device to view the on-site situation, which will standardize the detection process and enable the inspector to discover any physical discomfort or injury during the detection process in time, thereby increasing safety. At the same time, the alarm trigger is set with a pre-warning method with a number of times, which can reduce the inconvenience caused by false triggering of warnings.

[0025] Furthermore, the above-mentioned step S1 also includes S101: creating an account, setting up a background supervision account and an inspector account; S102: the system claims the inspection task from the elevator supervision platform;

[0026] Before S7, the process also includes S701: creating an inspection form and dispatching the form and having the inspector claim the inspection form; S702: the inspector wears the inspection equipment, opens the inspection APP, logs in to the account, and opens the inspection form for the corresponding elevator;

[0027] After S10, there is also S11: the inspector uploads the original inspection record file, the elevator self-inspection memorandum, the inspection picture, content and results and signs; S12: the auditor and the approver sign; S13: reporting to the special equipment safety supervision system.

[0028] Furthermore, in S5, the triggering duration of the silent alarm is divided into vibration silent triggering duration and frame silent triggering duration. The vibration silent triggering duration is shorter than the frame silent triggering duration. During the vibration silent triggering duration, if the smart wearable device does not give a vibration signal, a silent alarm will be triggered. During the frame silent triggering duration, even if there is a vibration signal, the silent alarm will be triggered if the frame change is always less than one quarter to half a frame.

[0029] Furthermore, the distance range away from the positioning alarm is less than or equal to five meters from the NFC card.

[0030] Furthermore, the tester account is divided into an ordinary account and a tutor account. Both the ordinary account and the tutor account are provided with a help module. The tutor account is provided with a guidance module. When a help request is issued, the test content of the current account enters a pause state and sends a help message to the system. The system searches for the tutor account according to the signal sending location. The nearest tutor account receives the help message first. The tutor account can choose to help or refuse through the guidance module. When helping is selected, the test content of the tutor account will be paused and can be connected to the ordinary tester's smart wearable device for remote viewing and guidance.

[0031] Set the response time for help messages. When the nearest tutor account chooses to reject or the response time is reached, the system automatically matches the next tutor account.

[0032] Set the total response time. If there is still no guidance after the total response time, the supervisor account will receive a prompt message.

[0033] Set the number of unanswered requests for help. When the number of unanswered requests for help reaches this number, the inspector can manually choose to contact the supervisory account.

[0034] Furthermore, in S10, a scoring system is also provided. The scoring system will automatically filter out the number of pre-alarms, alarms, manual pauses, help-seeking pauses and guidance pauses of the inspection form, set scoring items for each number, and the scoring system will automatically generate an inspection form scoring sheet based on the number of times. The scoring sheet will be sent independently to the supervision account. At the same time, the system will automatically count the number of help-seeking times for the inspection content and produce a ranking report.

[0035] Furthermore, the tutor account is divided into an ordinary tutor account and a designated tutor account, and a priority response distance of the designated tutor is set. The priority response distance of the designated tutor account minus the ordinary tutor response distance is the response distance of the designated tutor.

[0036] Furthermore, S201 is provided before S2, and S201 sets an elevator detection project information library, including the creation of detection templates, elevator information and NFC card information. The detection templates add different detection contents according to the elevator information.

[0037] Furthermore, the S8 detection items are activated one by one and the contents reported are the detection contents and detection requirements.

[0038] Furthermore, the inspection content is an introduction to the inspection site, including the name and location of the site, and the inspection requirements are the operating procedures of the inspection site and the standard requirements that need to be met, including an introduction to how to inspect and how to determine whether it is qualified.

[0039] The intelligent management system for the elevator inspection process includes a hardware terminal layer, a network access layer, a data persistence layer and an application layer. The hardware terminal layer includes NFC cards, smart wearable devices and handheld terminals. The network access layer includes wireless networks, accompanying network cables and RF-field near-field radio frequency. The data persistence layer includes an elevator inspection data center and an inspector inspection data center. The application layer includes an inspection APP. An intelligent supervision platform and a collection subsystem are set up in the inspection APP. The hardware terminal layer interacts with the inspector inspection data center through the network access layer. The inspector inspection data center interacts with the elevator inspection data center and the collection subsystem. The intelligent supervision platform also interacts with the elevator inspection data center and the collection subsystem.

[0040] Furthermore, the smart supervision platform includes a basic file management module, a test project application management module, a test data statistics module, a test specification revision module, an Internet of Things terminal management module, a test quality assessment management module, a public supervision module and a scoring module. The basic file management module is used to view and manage the files of inspectors, equipment and companies. The test project application management module is used to create, modify and delete different test projects. The test project application management module can edit test templates for different test projects and is used for different test equipment to quickly enter test projects according to the test template. The test data statistics module is used to count the time, help information and requirements of each test content, and can generate a test content help information ranking table. The test specification revision module is used to calculate the most recent fifty groups of The time period with the highest proportion in a fixed time area for the same detection content is selected, and the average time of this time period is compared with the average time of the second and third highest proportions. The average time with the highest proportion is increased or decreased in proportion to the difference between the second and third highest average times. This average time is then used to replace the minimum working hours of the original detection content, and the maximum working hours are automatically adjusted at fixed time intervals. The Internet of Things terminal management module is used for control and management of the transmission network, the detection quality assessment management module is used to extract the detection information of the inspectors for review and assessment and for remote real-time monitoring and assessment, the public supervision module is used for the public to review the detection information and feedback of the inspectors, and the scoring module is used to coordinate the number of detection orders, the quality of each detection order, the number of requests for help and the number of guidance of each inspector to score the inspectors.

[0041] Furthermore, the acquisition subsystem includes an alarm management module, a smart wearable device management module, a security inspection process status detection module, a system setting module, a data acquisition module, a video management module and a help statistics module. The alarm management module is used for entering and managing pre-alarm and alarm information, the smart wearable device management module is used for entering and managing smart wearable device information, the security inspection process status detection module is used for real-time detection of smart wearable devices during the security inspection process, the system setting module is used for switch settings of various detection functions, the data acquisition module is used for collecting on-site data, the video management module is used for integrating and uploading videos, and the help statistics module is used for counting and ranking the number of help requests triggered by the help content.

[0042] Furthermore, when the S9 triggers an alarm or the inspector manually pauses, the video and alarm information will be uploaded to the collection subsystem.

[0043] Furthermore, the smart wearable device is a helmet.

[0044] (3) Beneficial effects

[0045] One of the above technical solutions has the following advantages or beneficial effects:

[0046] 1. Based on the existing elevator entry scanning system, a detection system is set up according to the car, machine room, car roof and pit. Designated NFC cards are set for the car, machine room, car roof and pit. When the inspector accepts the order, the system automatically matches the inspector, the designated smart wearable device and the designated NFC card. Combined with the designated elevator identification code and facial recognition entry, it can ensure that the designated inspector arrives at the designated elevator inspection content location for confirmation before starting the content inspection, realizing dual authentication in the space, preventing the inspector from completing the inspection content after scanning the elevator entry, standardizing the arrival at the inspection location for inspection, improving the constraints and increasing the regularity of the process;

[0047] 2. While ensuring that arrival at each testing location is standardized, each test item also sets minimum and maximum working hours. Multiple alarms, including timeout alarms, silent alarms, off-wearing alarms, and out-of-positioning alarms, are also implemented. Once a warning is triggered, the test order is locked, requiring the designated NFC card to be re-scanned based on the test content to unlock it. This prevents situations such as slacking off for long periods of time, playing with mobile phones, improperly wearing safety equipment, and leaving the testing point. It also prevents situations where the test is not completed due to timeouts, ensuring that each item is tested and completed in a timely manner, while ensuring efficiency and improving the quality of the test order.

[0048] 3. Each test item requires a minimum number of working hours to complete and unlock the next item. Combined with smart wearable devices, each test item will be reported, making the test content and steps more standardized and clear, avoiding lack of experience and misremembering, reducing the situation of non-standard or missed steps, and ensuring the quality of the test;

[0049] 4. Switch signal access and specified settings are also implemented for detection contents that require switch testing. When detecting contents with switch detection, if the specified switch signal is not detected, the detection content cannot be completed even if the duration and other requirements are met. This further standardizes the detection process and avoids false detections.

[0050] 5. The minimum and maximum working hours are automatically corrected using a dynamic model. The correction is made by means of secondary correction after mean comparison, which can ensure the rationality of the minimum and maximum working hours;

[0051] 6. After the inspection is completed, the video files can be automatically integrated into one, ensuring that the subsequently uploaded video files are the source files. If the test fails, the re-inspection time will be automatically generated. If the test passes, you only need to upload the source files and sign, which reduces the difficulty of operation and saves subsequent processing time.

[0052] 8. The generation of scene nodes, sequential detection content, working hours and alarm settings allow auditors to select specified scenes and time periods to quickly view videos of specified projects and confirm alarm conditions, which is convenient and fast, increasing the convenience of verification;

[0053] To sum up, the system using this method can ensure that the inspector arrives at the designated scene at the inspection site for inspection, can better constrain the inspector, make the inspection process clear and reasonable, improve the regularity of the inspection, and better standardize the inspection process and automatically correct the duration to prevent laziness and false inspections, ensure the quality of inspection, and make the operation and verification fast and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0055] Figure 1 A schematic diagram of the process from creating an account to entering the site for identification and starting the detection content of the present invention;

[0056] Figure 2 Schematic diagram of the detection process of the present invention;

[0057] Figure 3 A schematic diagram of the process of creating a monitoring list of detection items according to scenarios in the present invention;

[0058] Figure 4 A schematic diagram of the process of creating an alarm list for the present invention;

[0059] Figure 5 Schematic diagram of the hierarchical architecture of the intelligent management system for elevator inspection process of the present invention;

[0060] Figure 6 A schematic diagram of the process flow of the help-seeking and guidance module of the present invention;

[0061] Figure 7 A simplified schematic diagram of the scene setting and NFC card assembly of the present invention;

[0062] In the picture: car-1, machine room-2, car roof-3, pit-4, NFC card-5. DETAILED DESCRIPTION

[0063] The present invention will be further described in detail below with reference to the examples, but the embodiments of the present invention are not limited thereto.

[0064] Example 1:

[0065] The present invention provides an intelligent management method for an elevator inspection process, wherein the method comprises the following steps:

[0066] S101: Create an account, set up a background supervision account and an inspector account;

[0067] S102: The system claims the inspection task from the elevator supervision platform;

[0068] S1: Enter the identification code of each elevator and divide the detection scene options of car 1, machine room 2, car top 3 and pit 4 for each elevator;

[0069] For each elevator's four detection scene options, enter the information of an independent and elevator-bound NFC card 5, namely, the car 1, the machine room 2, the car roof 3, and the pit 4. Then, assemble the four NFC cards 5 in the four detection scenes of the corresponding elevators.

[0070] S2: Create a monitoring list of inspection items in the four scene inspection options. Create multiple inspection items in the monitoring list in a sequential order. Each inspection item has inspection requirements, initial minimum working hours, and maximum working hours. Set the time range for calculating the average of the minimum working hours. The system automatically adjusts the minimum working hours by proportionally adjusting the average of the highest proportion of the minimum working hours with the average of the second and third highest proportions, and automatically adjusts the maximum working hours at fixed intervals.

[0071] S3: Connect the elevator's switch trigger signal to the system and set the corresponding signal trigger identification item according to the detection content;

[0072] S4: Enter the smart wearable device information and designate the inspector to wear the smart wearable device. The smart wearable device has NFC recognition, voice broadcast, intercom, positioning, camera, vibration sensing and wear recognition functions;

[0073] S5: Create an alarm list, which includes timeout alarm, silent alarm, wear-off alarm, and out-of-position alarm. Set the corresponding alarm trigger duration and pre-alarm duration for each alarm content. The pre-alarm duration is earlier than the corresponding alarm trigger duration. Set the number of pre-alarms for a single test in the test order. If the pre-alarm is triggered before the number of pre-alarms is reached, the test content will not be locked. After the number of pre-alarms is reached, the pre-alarm will no longer be triggered.

[0074] S6: The system pairs the NFC card 5 information, the designated inspector, and the designated smart wearable device information;

[0075] S7: The inspector scans the elevator identification code to confirm the elevator information and performs facial recognition to enter the site;

[0076] S701: Create a test order and dispatch it to the inspector to claim it;

[0077] S702: The inspector wears the inspection equipment, opens the inspection app, logs in to the account, and opens the inspection form for the corresponding elevator;

[0078] S8: The inspector arrives at the corresponding scene according to the inspection content and scans the NFC card 5. The system compares the information of the inspector, the smart wearable device and the NFC card 5 to see if they are correct. The inspection starts only when the comparison is correct. The camera and recording are automatically turned on. The inspection item monitoring list is opened and broadcasted item by item. At the same time, the inspection content timing starts. If the minimum working time is not reached, the current inspection content cannot be completed and the next inspection content cannot be started. For inspection contents with switch actions, they must also be compared with the signal set in S3. If the maximum working time is exceeded, a timeout alarm will be triggered.

[0079] S9: When an alarm is triggered or the inspector manually pauses the test, the test sheet will be locked and a voice prompt will be given. An alarm signal will also be sent to the supervisor account, who can connect to a smart wearable device to view the on-site situation. To unlock the test sheet, the designated inspector needs to re-identify the NFC card corresponding to the scene 5;

[0080] S10: End the inspection order and confirm whether the order has been missed and whether it is qualified. If there are missed items, the scanning and identification equipment must be re-inspected. For unqualified orders, a note is made and the next re-inspection time is generated. For qualified orders, the camera files are automatically integrated into one and a timestamp and scene node are automatically generated. The inspection content and working hours are automatically counted;

[0081] S11: The inspector uploads the original inspection record files, elevator self-inspection memo, inspection pictures, content and results and signs;

[0082] S12: Signatures of auditor and approver;

[0083] S13: Report to the special equipment safety supervision system.

[0084] Among them, S201 is also provided before S2, and S201 sets the elevator detection project information library, including the creation of detection templates, elevator data and NFC card 5 information. The detection template adds different detection contents according to the elevator data.

[0085] Among them, the S8 detection items are opened one by one and the contents reported are the detection contents and detection requirements.

[0086] Among them, the detection content is an introduction to the detection part, including the name and location of the part, etc., and the detection requirements are the operating procedures of the detection part and the standard requirements that need to be met, including an introduction to how to detect and how to determine whether it is qualified.

[0087] Wherein, the smart wearable device is a safety helmet.

[0088] When using it, first, follow the steps to set up the various inspection information and processes. When inspecting, the inspector first logs in to the account through the APP to claim the inspection form, and then uses the designated smart wearable device to scan the identification code of the designated elevator to obtain the elevator information. After confirming that the elevator information is correct, the inspector performs facial recognition to enter the site;

[0089] Next, the inspector goes to the corresponding elevator car 1, machine room 2, car roof 3, or pit 4 according to the inspection content, and confirms that they have arrived at the inspection point by scanning the NFC card 5 on the corresponding elevator car 1, machine room 2, car roof 3, or pit 4, and starts the inspection;

[0090] After the test begins, the voice, camera, positioning, and wear recognition functions of the smart wearable device are automatically turned on, and the first test content is also turned on. The smart wearable device broadcasts the test content and requirements. At this time, each test content must reach a minimum working time to be completed, and the next content cannot be started before the current test content is completed. For test contents with switch actions, the system must detect that the corresponding trigger signal matches the recorded signal information before it can complete the current test content and start the next test content, realizing multiple false detection authentication;

[0091] During the inspection process, if the inspector's smart wearable device identifies timeout, silence, separation from wearing and distance from the inspection scene, an alarm will be triggered, and a voice prompt and alarm upload will be made through the smart wearable device. At the same time, the inspection form will be locked. At this time, the inspector needs to re-scan the NFC card 5 according to the inspection content to confirm presence before the inspection form can be unlocked. When the alarm is triggered, the supervisor will also receive a message and can remotely connect to the smart wearable device for viewing. Before the alarm is triggered, the system can also give a pre-alarm prompt based on the set number of pre-alarms to reduce false alarms. Combined with the settings of minimum and maximum working hours, false inspections such as inspectors slacking off for a long time, playing with mobile phones, not wearing safety equipment properly and leaving the inspection point can be avoided. It can also avoid situations where inspectors fail to inspect due to timeouts, ensuring that each item can be inspected and completed in a timely manner, ensuring efficiency and improving the quality of inspection forms.

[0092] Finally, after the inspection of the entire elevator car 1, machine room 2, car top 3 and pit 4 is completed, the camera files can be automatically integrated into one, ensuring that the subsequently uploaded video files are the source files, and the re-inspection time is automatically generated for unqualified orders. For qualified orders, the inspector only needs to choose to upload the source file and choose to upload pictures and other content and sign, which reduces the difficulty of operation and saves subsequent processing time. The entire inspection process is fixed and clear, which can ensure that the inspector clearly understands the inspection content and there will be no missing items, omissions and false inspections. The system can better supervise and record the work of the inspectors and can better prompt the inspectors to operate. The division settings of the car 1, machine room 2, car top 3 and pit 4, the sequential inspection content settings and the minimum working hours settings, as well as the alarm settings, also enable the inspectors to select a specified time period to quickly view the video of the specified project and confirm the alarm situation, which is convenient and fast, increasing the convenience of verification.

[0093] The alarm trigger will prompt the setting of the supervision account and the setting of silent alarm, which can also prevent the supervisor from timely discovering the physical discomfort or injury of the inspector during the inspection process, thereby increasing safety;

[0094] At the same time, the system's minimum and maximum working hours are corrected automatically, using a secondary correction method after mean comparison to ensure the rationality of the minimum and maximum working hours.

[0095] Example 2:

[0096] Compared with Example 1, in S5, the triggering duration of the silent alarm is divided into vibration silent triggering duration and frame silent triggering duration. The vibration silent triggering duration is shorter than the frame silent triggering duration. During the vibration silent triggering duration, if the smart wearable device does not give a vibration signal, the silent alarm will be triggered. During the frame silent triggering duration, even if there is a vibration signal, the silent alarm will be triggered if the frame change is always less than one-quarter to half a frame. Since the operator always moves his hands and eyes during the detection operation, the dual detection method of combining vibration monitoring and frame change detection makes the system's triggering of the silent alarm more hierarchical, which can better avoid situations that are easily avoided by single detection, and improve the accuracy of the silent alarm. The rest of the structure and effect remain unchanged.

[0097] Example 3:

[0098] Compared with the above embodiment, the tester account is divided into an ordinary account and a tutor account. Both the ordinary account and the tutor account are provided with a help module. The tutor account is provided with a guidance module. When a help request is issued, the test content of the current account enters a pause state and sends a help message to the system. The system searches for the tutor account according to the signal sending location. The nearest tutor account receives the help message first. The tutor account can choose to help or refuse through the guidance module. When helping is selected, the test content of the tutor account will be paused and can be connected to the ordinary tester's smart wearable device for remote viewing and guidance.

[0099] Set the response time for help messages. When the nearest tutor account chooses to reject or the response time is reached, the system automatically matches the next tutor account.

[0100] Set the total response time. If there is still no guidance after the total response time, the supervisor account will receive a prompt message.

[0101] Set the number of unanswered requests for help. When the number of unanswered requests for help reaches this number, the inspector can manually choose to contact the supervisory account.

[0102] Among them, S10 also has a scoring system, which will automatically filter out the number of pre-alarms, alarms, manual pauses, help pauses and guidance pauses of the test form, set scoring items for each number, and the scoring system will automatically generate a test form scoring sheet based on the number of times. The test form scoring sheet will be sent independently to the supervision account and will not be reported with the test form. It will automatically count the number of help requests for the test content and produce a ranking report.

[0103] Among them, the tutor account is divided into an ordinary tutor account and a designated tutor account, and a priority response distance for the designated tutor is set. The priority response distance of the designated tutor account minus the ordinary tutor response distance is the response distance of the designated tutor.

[0104] During use, inspectors can choose to request help when they encounter difficult problems. According to the setting requirements, the system can quickly match the nearest general tutor or designated tutor for selective help, so that when remote guidance cannot explain clearly, the tutor can arrive at the site faster to help, so that the inspector's problem can be quickly solved. When no one responds to help, the supervisor can be automatically notified to facilitate the supervisor to arrange help reasonably, avoiding all problems concentrated on the supervisor and resulting in untimely arrangements. The rest of the structure and effect remain unchanged. At the same time, the help statistics and help rankings facilitate subsequent targeted guidance and training. The scoring system also increases the enthusiasm of employees, improves the quality of inspection and the practicality of the system.

[0105] Example 4:

[0106] The intelligent management system for the elevator inspection process includes a hardware terminal layer, a network access layer, a data persistence layer and an application layer. The hardware terminal layer includes an NFC card 5, a smart wearable device and a handheld terminal. The network access layer includes a wireless network, an accompanying network cable and an RF-field near-field radio frequency. The data persistence layer includes an elevator inspection data center and an inspector inspection data center. The application layer includes an inspection APP. An intelligent supervision platform and a collection subsystem are set in the inspection APP. The hardware terminal layer interacts with the inspector inspection data center through the network access layer. The inspector inspection data center interacts with the elevator inspection data center and the collection subsystem. The intelligent supervision platform also interacts with the elevator inspection data center and the collection subsystem.

[0107] Among them, the wireless network is NB-IOT / 4G.

[0108] By setting up multiple network access methods, it is ensured that smart wearable devices can adjust the transmission signal according to the scenario, ensuring timely and accurate transmission. The elevator inspection data center and the inspector inspection data center are recorded separately to better store and manage data.

[0109] Among them, the smart supervision platform includes a basic file management module, a test project application management module, a test data statistics module, a test specification revision module, an Internet of Things terminal management module, a test quality assessment management module, a public supervision module and a scoring module. The basic file management module is used to view and manage the files of inspectors, equipment and companies. The test project application management module is used to create, modify and delete different test projects. The test project application management module can edit test templates for different test projects and is used for different test equipment to quickly enter test projects according to the test template. The test data statistics module is used to count the time, help information and requirements of each test content, and can generate a test content help information ranking list. The test specification revision module is used to calculate the most recent fifty groups of related The time period with the highest proportion in the fixed time area of ​​the same detection content is selected, and the average time of this time period is compared with the average time of the second and third highest proportions. The average time with the highest proportion is increased or decreased in proportion according to the difference between the second and third highest average times, and then the average time is used to replace the minimum working hours of the original detection content, and the maximum working hours are automatically adjusted at fixed time intervals. The Internet of Things terminal management module is used for control and management of the transmission network, the detection quality assessment management module is used to extract the detection information of the inspectors for review and assessment and remote real-time monitoring and assessment, the public supervision module is used for the public to review the detection information and feedback of the inspectors, and the scoring module is used to coordinate the number of detection orders, the quality of each detection order, the number of requests for help and the number of guidance of each inspector to score the inspectors.

[0110] By setting up a test data statistics module, the system can automatically count various test contents and help information, and combine it with the automatically generated help information ranking table to facilitate the subsequent summary of difficulties encountered in training and improve work quality. At the same time, combined with the test specification correction module, the time period with the highest proportion in a fixed time area in the latest fifty groups of the same test content is updated in real time, and the average time of this time period is compared with the average time of the second and third highest proportions. The average time with the highest proportion is proportionally increased or decreased according to the difference between the second and third highest average times, and then this average time is used to replace the original minimum working hours of the test content to realize the correction of the minimum working hours. The mean comparison and adjustment can reduce the error of the single mean, so that the final minimum working hours can better fit the actual working hours;

[0111] By setting up a testing quality assessment management module and a public supervision module, it is convenient for designated personnel to conduct inspections and assessments of monitoring quality, while also allowing the public to view and provide feedback to ensure testing quality.

[0112] Among them, the acquisition subsystem includes an alarm management module, a smart wearable device management module, a security inspection process status detection module, a system setting module, a data acquisition module, a video management module and a help statistics module. The alarm management module is used for entering and managing pre-alarm and alarm information, the smart wearable device management module is used for entering and managing smart wearable device information, the security inspection process status detection module is used for real-time detection of smart wearable devices during the security inspection process, the system setting module is used for switch settings of various detection functions, the data acquisition module is used for collecting on-site data, the video management module is used for integrating and uploading videos, and the help statistics module is used to count and rank the number of help requests triggered by the help content.

[0113] When the S9 triggers an alarm or the inspector manually pauses, the video and alarm information will be uploaded to the collection subsystem.

[0114] Ensure that video and other testing materials are source files to facilitate the review of testing data, further ensure the quality of testing, and prevent false testing.

[0115] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from all perspectives, the embodiments should be regarded as illustrative and non-restrictive. The scope of the present invention is defined by the appended claims, not the foregoing description, and it is intended that all variations that come within the meaning and range of equivalents of the claims be included within the present invention. Any reference signs in the claims should not be construed as limiting the claim to which they relate.

[0116] In addition, it should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A smart management method for elevator inspection process, characterized in that: The steps include: S1: Enter the identification code of each elevator and divide the detection scene options of the car (1), machine room (2), car top (3) and pit (4) for each elevator, enter the independent and elevator-bound NFC card (5) information for each scene option, and install the NFC card (5) in the corresponding position of the corresponding elevator; S2: Create multiple test items in sequence in the scene detection options. For each test item, set the test requirements, initial minimum working hours, and maximum working hours. Set the time range for calculating the average of the minimum working hours. The system automatically adjusts the minimum working hours by proportionally adjusting the average of the highest proportion of the minimum working hours with the average of the second and third highest proportions, and automatically adjusts the maximum working hours at fixed intervals. The specific method of automatically correcting the minimum working hours is as follows: Take the time period with the highest proportion in a fixed time zone for the same test content, and compare the average time of this time period with the average times of the second and third highest proportions. Increase or decrease the average time of the highest proportion in proportion according to the difference between the second and third highest average times. Then use this average time to replace the minimum working hours of the original test content to achieve the minimum working hours correction; S3: Connect the elevator's switch trigger signal to the system and set the corresponding signal trigger identification item according to the detection content; S4: Enter the smart wearable device information and designate the inspector to wear the smart wearable device; S5: Create pre-alarms and alarm lists. The alarm list includes timeout alarms, silent alarms, wear-away alarms, and out-of-positioning alarms. S6: The system pairs the NFC card (5) information, the designated inspector, and the designated smart wearable device information; S7: The inspector scans the elevator identification code to confirm the elevator information and performs facial recognition to enter the site; S8: Scan the scene NFC card (5), the system compares the scene information with the paired information in S7, and automatically starts the camera, recording and detection content broadcast if the comparison is correct, and starts the detection content timing. If the minimum working time is not reached, the current detection content cannot be completed and the next detection content cannot be started. For detection content with switch action, it is also necessary to compare with the signal set in S3. If the maximum working time is exceeded, a timeout alarm will be triggered; S9: The inspection form will be locked when an alarm is triggered or the inspector manually pauses the inspection form. To unlock the inspection form, the NFC card corresponding to the scene needs to be re-identified (5). S10: End the inspection order, make notes for unqualified orders and generate the next re-inspection time. For qualified orders, the video files are automatically integrated into one and the timestamp and scene node are automatically generated. The inspection content and working hours are automatically counted.

2. The intelligent management method for elevator inspection process according to claim 1, characterized in that: The above S1 also includes S101: creating an account, setting up a background supervision account and an inspector account; S102: the system claims the inspection task from the elevator supervision platform; Before S7, the process also includes S701: creating an inspection form and dispatching the form and having the inspector claim the inspection form; S702: the inspector wears the inspection equipment, opens the inspection APP, logs in to the account, and opens the inspection form for the corresponding elevator; After S10, there is also S11: the inspector uploads the original inspection record file, the elevator self-inspection memorandum, the inspection picture, content and results and signs; S12: the auditor and the approver sign; S13: reporting to the special equipment safety supervision system.

3. The intelligent management method for elevator inspection process according to claim 2, characterized in that: The smart wearable device has NFC recognition, voice broadcast, intercom, positioning, camera, vibration sensing and wear recognition functions; In S5, set the corresponding alarm trigger duration and pre-alarm duration, and set the number of pre-alarms. If the pre-alarm is triggered before the number of pre-alarms is reached, the detection content will not be locked. After the number of pre-alarms is reached, the pre-alarm will no longer be triggered. When the alarm is triggered, an alarm signal will be sent to the supervision account, and the supervision account can connect to the smart wearable device to view the on-site situation.

4. The intelligent management method for elevator inspection process according to claim 3, characterized in that: In S5, the triggering duration of the silent alarm is divided into vibration silent triggering duration and frame silent triggering duration. The vibration silent triggering duration is shorter than the frame silent triggering duration. During the vibration silent triggering duration, if the smart wearable device does not give a vibration signal, a silent alarm will be triggered. During the frame silent triggering duration, even if there is a vibration signal, the silent alarm will be triggered if the frame change is always less than one-quarter to half a frame.

5. The intelligent management method for elevator inspection process according to claim 3, characterized in that: The tester account is divided into an ordinary account and a tutor account. Both the ordinary account and the tutor account are provided with a help module. The tutor account is provided with a guidance module. When a help request is issued, the detection content of the current account enters a pause state and sends a help message to the system. The system searches for the tutor account according to the signal sending location. The nearest tutor account receives the help message first. The tutor account can choose to help or refuse through the guidance module. When help is selected, the detection content of the tutor account will be paused and can be connected to the ordinary tester's smart wearable device for remote viewing and guidance; Set the response time for help messages. When the nearest tutor account chooses to reject or the response time is reached, the system automatically matches the next tutor account. Set the total response time. If there is still no guidance after the total response time, the supervisor account will receive a prompt message. Set the number of unanswered requests for help. When the number of unanswered requests for help reaches this number, the inspector can manually choose to contact the supervisory account.

6. The intelligent management method for elevator inspection process according to claim 5, characterized in that: In S10, there is also a scoring system, which will automatically filter out the number of pre-alarms, alarms, manual pauses, help-seeking pauses and guidance pauses of the inspection form, set scoring items for each number, and the scoring system will automatically generate an inspection form scoring sheet based on the number of times. The scoring sheet will be sent independently to the supervision account. At the same time, the system will automatically count the number of help-seeking times for the inspection content and produce a ranking report.

7. The intelligent management method for elevator inspection process according to claim 5, characterized in that: The tutor account is divided into an ordinary tutor account and a designated tutor account. A priority response distance of the designated tutor is set. The priority response distance of the designated tutor account minus the ordinary tutor response distance is the response distance of the designated tutor.

8. An intelligent management system for elevator inspection process using the intelligent management method for elevator inspection process according to claim 6, characterized in that: The invention comprises a hardware terminal layer, a network access layer, a data persistence layer and an application layer, wherein the hardware terminal layer comprises an NFC card (5), a smart wearable device and a handheld terminal, the network access layer comprises a wireless network, an accompanying network cable and an RF-field near-field radio frequency supply, the data persistence layer comprises an elevator detection data center and an inspector detection data center, the application layer comprises a detection APP, a smart supervision platform and a collection subsystem are set in the detection APP, the hardware terminal layer interacts with the inspector detection data center through the network access layer, the inspector detection data center interacts with the elevator detection data center and the collection subsystem, and the smart supervision platform also interacts with the elevator detection data center and the collection subsystem.

9. The intelligent management system for elevator inspection process according to claim 8, characterized in that: The smart supervision platform includes a basic file management module, a test project application management module, a test data statistics module, a test specification revision module, an Internet of Things terminal management module, a test quality assessment management module, a public supervision module and a scoring module. The basic file management module is used to view and manage the files of inspectors, equipment and companies. The test project application management module is used to create, modify and delete different test projects. The test project application management module can edit test templates for different test projects and is used for different test equipment to quickly enter test projects according to the test template. The test data statistics module is used to count the time, help information and requirements of each test content, and can generate a test content help information ranking list. The test specification revision module is used to calculate the most recent fifty groups of the same test results. The time period with the highest proportion in the fixed time area of ​​the test content is selected, and the average time of this time period is compared with the average time of the second and third highest proportions. The average time with the highest proportion is increased or decreased in proportion according to the difference between the second and third highest average times. This average time is then used to replace the minimum working hours of the original test content, and the maximum working hours are automatically adjusted at fixed time intervals. The Internet of Things terminal management module is used for control and management of the transmission network, the inspection quality assessment management module is used to extract the inspection information of the inspectors for review and assessment and for remote real-time monitoring and assessment, the public supervision module is used for the public to review the inspection information and feedback of the inspectors, and the scoring module is used to coordinate the number of inspection orders, the quality of each inspection order, the number of requests for help and the number of guidance of each inspector to score the inspectors.

10. The intelligent management system for elevator inspection process according to claim 8, characterized in that: The acquisition subsystem includes an alarm management module, a smart wearable device management module, a security inspection process status detection module, a system setting module, a data acquisition module, a video management module and a help statistics module. The alarm management module is used to enter and manage pre-alarm and alarm information, the smart wearable device management module is used to enter and manage smart wearable device information, the security inspection process status detection module is used for real-time detection of smart wearable devices during the security inspection process, the system setting module is used to set the switches of various detection functions, the data acquisition module is used to collect on-site data, the video management module is used to integrate and upload videos, and the help statistics module is used to count and rank the number of help requests triggered by the help content.

Images