Intelligent management method and system for elevator detection process

Abstract

The invention discloses an elevator detection process intelligent management method and system, and belongs to the technical field of special equipment safety supervision, and the method comprises the steps that space dual authentication of elevator identification codes and elevator scene specified NFC position verification and multiple authentication composed of biological recognition are adopted; constructing a dynamic controllable detection reasonable man-hour correction algorithm model; the system receives and compares mainboard detection signals; specifying a person and a smart wearable device; multiple detection alarms are set; independent information of personnel, equipment and environment is automatically paired and compared; the detection regulations are broadcasted one by one through the NFC card; the alarm locking order and the recovery need to be unlocked by scanning the specified NFC; tasks are started one by one, and dynamic detection is triggered by duration and signals; the video automatically generates a structured file with a scene and a timestamp; spatial double verification of detection personnel, multiple detection authentication, full-link tracing in the detection process, standardization and normalization of detection work and intelligent evaluation of detection quality can be realized, and industrial pain points such as false detection and illegal operation are effectively solved.

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 Internet of Things, spatial positioning, and artificial intelligence technologies, which are applicable to the intelligent supervision of elevator inspection processes. Background Art

[0002] There are problems in some elevator inspections such as going through the motions and false inspections, resulting in hidden elevator problems not being discovered and disposed of in a timely manner. The existing methods and systems mainly involve developing handheld terminals for elevator inspections, automatically generating inspection records after scanning device identification codes, submitting and sending the inspected records for review after recording data on the handheld terminals, archiving on-site photos and videos, and automatically generating inspection reports. However, there are the following deficiencies: 1. Traditional elevator inspection management systems simply use elevator code scanning to identify the start of elevator inspection work, but there are false inspection behaviors such as not conducting inspections at the designated elevator scenarios, going through the motions of inspection items, and uncontrollable durations of specific items. 2. Existing intelligent inspection devices lack multi-dimensional process monitoring, making it difficult to prevent illegal operations such as personnel substituting for inspections and shortening working hours. 3. The evaluation of inspection quality relies on manual review after the event, lacking real-time warning and process intervention mechanisms, resulting in non-standard or omitted inspection steps, low inspection quality, and at the same time, situations such as slack inspections and extended working hours are likely to occur, leading to uneven durations and qualities of inspection forms. 4. Since the existing system does not standardize the setting of project contents, when conducting video verification, it is necessary to watch the video throughout and search for the corresponding inspection contents, resulting in problems such as high verification difficulty and slow verification speed. Summary of the Invention

[0003] (I) Technical Problems to be Solved In order to overcome the deficiencies of the existing technology, an intelligent management method and system for elevator inspection processes are proposed to solve the problems in the use of the existing technology. The management system simply conducts elevator scanning to identify the corresponding elevator entering the site. After entering the site, it cannot standardize whether each item is inspected and whether the inspection reaches the designated location. The inspection personnel can complete the inspection content in advance without reaching the designated location for inspection. At the same time, it is impossible to standardize whether there are behaviors such as laziness during the inspection process by the inspection personnel, and false inspections or unreported substitution inspections are likely to occur. It is easy to cause non-standard or omitted inspection steps due to situations such as inspection personnel's memory mistakes, resulting in low inspection quality. At the same time, situations such as slack inspections and extended working hours are likely to occur, leading to uneven durations and qualities of inspection forms. The existing system does not standardize the setting of project contents. When conducting video verification, it is necessary to watch the video throughout and search for the corresponding inspection contents, resulting in problems such as high verification difficulty and slow verification speed.

[0004] (2) Technical solution The present invention is realized through the following technical solutions: The present invention provides an intelligent management method for elevator detection process, and the method includes the following steps: S1: Enter the identification code of each elevator, divide the detection scenario options for the car, machine room, car top and pit for each elevator, enter the independent NFC card information bound to the elevator for each scenario option, and install the NFC card at the corresponding position of the corresponding elevator; S2: Create multiple detection contents arranged in sequence in the scenario detection options. Each detection content is set with detection requirements, initial minimum working hours and maximum working hours. Set the time range for calculating the average value of the minimum working hours. The system automatically corrects the minimum working hours according to the proportion of the highest average value in the minimum working hours and the adjusted average values of the second and third highest proportions, and automatically adjusts the maximum working hours at fixed time intervals; S3: Connect the switch trigger signal of the elevator to the system, and set the corresponding signal trigger recognition items according to the detection contents; S4: Enter the information of the intelligent wearable device and the inspector designated to wear the intelligent wearable device; S5: Create a pre-warning and warning list. The warning list includes timeout warning, silent warning, disengagement warning and away-from-location warning; S6: The system pairs the NFC card information, the designated inspector and the information of the designated intelligent wearable device; S7: The inspector scans the identification code of the elevator to confirm the elevator information to be detected and conducts face recognition to enter the site; S8: Scan the scenario NFC card. The system compares the on-site information with the paired information in S7. If the comparison is correct, the camera, recording and detection content broadcast are automatically turned on, and the detection content timing starts. The current detection content cannot be completed and the next detection content cannot be started if the minimum working hours are not reached. For the detection content with switch actions, it is also necessary to compare with the signals set in S3. If the maximum working hours are exceeded, a timeout warning will be triggered; S9: Triggering a warning and the inspector manually pausing will lock the inspection order. Unlocking the inspection order requires re-identifying the NFC card of the corresponding scenario; S10: End the inspection order, make remarks on the unqualified order and generate the next re-inspection time. For the qualified order, the camera files are automatically integrated into one, and the time stamp and scenario nodes are automatically generated, and the detection content and the working hours used are automatically counted.

[0005] Furthermore, the intelligent wearable device has functions of NFC identification, voice broadcast, intercom, positioning, camera, vibration sensing and wearing identification; In S5, set the corresponding alarm trigger duration and pre-alarm duration, and set the number of pre-alarms. Triggering a pre-alarm before reaching the number of pre-alarms will not lock the detection content. After reaching the number of pre-alarms, no more pre-alarms will be triggered. When an 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, making the detection process more standardized and enabling timely discovery of physical discomfort or injury of the inspector during the detection process, increasing safety. At the same time, the alarm trigger setting with a pre-alarm method with a count can reduce the inconvenience caused by false alarm triggers.

[0006] Further, before S1, it also includes S101: Create accounts, set the background supervision account and inspector account; S102: The system claims the detection task from the elevator supervision platform. Before S7, it also includes S701: Create a detection form, dispatch the form, and the inspector claims the detection form; S702: The inspector wears the detection device, opens the detection APP, logs in to the account, and starts the detection form for the corresponding elevator. After S10, there is also S11: The inspector uploads the detection original record file, elevator self-detection memorandum, detection pictures, content, and results and signs; S12: The reviewer and approver sign; S13: Report to the special equipment safety supervision system.

[0007] Further, in S5, the trigger duration of the silent alarm is divided into the vibration silent trigger duration and the frame silent trigger duration. The vibration silent trigger duration is less than the frame silent trigger duration. Within the vibration silent trigger duration, if the smart wearable device does not give a vibration signal, a silent alarm will be triggered. Within the frame silent trigger duration, even if there is a vibration signal, but the frame change is always less than between one-fourth and half of the frame, a silent alarm will also be triggered.

[0008] Further, the distance range of the remote positioning alarm is less than or equal to five meters from the NFC card.

[0009] Further, the inspector account is divided into a general account and a tutor account. Both the general account and the tutor account are set with a help module. The tutor account is set with a guidance module. When a help request is sent, the detection content of the current account enters a suspended state and a help request message is sent to the system. The system searches for the tutor account according to the signal sending location. The tutor account closest in distance receives the help request message first. The tutor account can choose to help or refuse through the guidance module. When choosing to help, the detection content of the tutor account will be suspended and the smart wearable device of the general inspector can be accessed for remote viewing and guidance. Set the help request response duration. When the tutor account closest in distance chooses to refuse or reaches the response duration, the system automatically matches the next tutor account. Set the total response duration. When there is still no one to guide the help request message within the total response duration, the supervision account will receive a prompt message. Set the number of times of unresponded help requests. When the help request information reaches the number of unresponded times, the inspector can manually select to contact the supervision account.

[0010] Furthermore, in S10, there is also a scoring system. The scoring system will automatically screen out the number of pre-alarm times, alarm times, manual pause times, help pause times, and guidance pause times of the inspection form, set the scoring items for each time, and the scoring system will automatically generate an inspection form scoring sheet according to the times. The scoring sheet is independently sent to the supervision account. At the same time, the system automatically counts the number of help requests for the inspection content and generates a ranking report.

[0011] Furthermore, the tutor accounts are divided into ordinary tutor accounts and designated tutor accounts. Set the priority response distance for the designated tutor account. The priority response distance of the designated tutor account minus the response distance of the ordinary tutor is the response distance of the designated tutor.

[0012] Furthermore, before S2, there is also S201. S201 sets up an elevator inspection project information library, including the creation of inspection templates, elevator information, and NFC card information. Different inspection contents are added to the inspection template according to the elevator information.

[0013] Furthermore, the content announced item by item for the inspection items in S8 is the inspection content and inspection requirements.

[0014] Furthermore, the inspection content is the introduction of the inspection part, including the introduction of the part name and location, etc. The inspection requirements are the operation procedures and required standard requirements for the inspection part, including how to inspect and how to judge whether it is qualified, etc.

[0015] 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, intelligent wearable devices, and handheld terminals. The network access layer includes wireless networks, trailing network cables, and RF-field near-field power supply for 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. The 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.

[0016] Furthermore, the intelligent supervision platform includes a basic file management module, a detection project application management module, a detection data statistics module, a detection specification correction module, an Internet of Things terminal management module, a detection quality assessment management module, a public supervision module, and a scoring module. The basic file management module is used for viewing and managing the files of inspectors, equipment, and the company. The detection project application management module is used for creating, modifying, and deleting different detection projects. The detection project application management module can edit the detection templates for different detection projects, and is used for quickly inputting detection projects for different detection devices according to the detection templates. The detection data statistics module is used for counting the time used, help information, and requirements of each detection content, and can generate a ranking list of help information for detection content. The detection specification correction module is used for calculating the time period with the highest proportion within a fixed time range in the most recent fifty groups of the same detection content, and comparing the average time of this time period with the average times of the second and third highest proportion time periods. According to the difference between the average times of the second and third highest proportions, the average time of the highest proportion is increased and decreased proportionally, and then this 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 the control and management of the transmission network. The detection quality assessment management module is used for viewing and assessing the detection information of inspectors and for remote real-time monitoring and assessment. The public supervision module is used for the public to view the detection information of inspectors and for feedback of opinions. The scoring module is used for overall scoring of inspectors by taking into account the number of detection forms of each inspector, the quality of each detection form, the number of help requests, and the number of guidance times.

[0017] Furthermore, the acquisition subsystem includes an alarm management module, a smart wearable device management module, a security inspection process status detection module, a system settings module, a data acquisition module, a video management module, and a help request statistics module. The alarm management module is used for the entry and management of pre-alarm and alarm information. The smart wearable device management module is used for the entry and management of smart wearable device information. The security inspection process status detection module is used for the real-time detection of smart wearable devices during the security inspection process. The system settings module is used for the on / off settings of various detection functions. The data acquisition module is used for the acquisition of on-site data. The video management module is used for the integration and upload of videos. The help request statistics module is used for the statistics and ranking of the number of help requests for triggered help content.

[0018] Furthermore, when S9 triggers an alarm and the inspector manually pauses, videos and alarm information will be uploaded to the acquisition subsystem.

[0019] Furthermore, the smart wearable device is a safety helmet.

[0020] (III) Beneficial Effects One of the above technical solutions has the following advantages or beneficial effects: 1. On the basis of the original system for scanning elevators entering the site, a detection system divided by car, machine room, car top, and pit is set up, and designated NFC cards are set for the car, machine room, car top, and pit. When the inspector receives the order, the system automatically matches the inspector, the designated intelligent wearable device, and the designated NFC card. Combined with the designated elevator identification code and face recognition for entry, it can ensure that the designated inspector arrives at the detection content location of the designated elevator for confirmation. Only then can the content detection begin, realizing dual spatial authentication, preventing the situation where the inspector can complete the detection content after scanning the elevator to enter the site, standardizing the arrival at the detection location for detection, enhancing the binding force, and increasing the regularity of the process; 2. Under the condition of standardizing the arrival at each detection location, a minimum working time and a maximum working time are set for each detection content. Combined with multiple warning methods such as overtime warning, silent warning, disconnection warning, and away from positioning warning, and the detection order will be locked after the warning is triggered, and it is necessary to rescan the designated NFC card according to the detection content to unlock, which can avoid situations such as long-term laziness, playing with mobile phones, non-standard wearing of safety equipment, and leaving the detection point, as well as the situation of not detecting after overtime, ensuring that each item can be detected in a timely manner, guaranteeing efficiency and improving the quality of the detection order; 3. The setting that each detection content requires a minimum working time to complete and unlock the next item, combined with the intelligent wearable device will announce each detection content, making the detection content and steps more standardized and clear, avoiding insufficient experience and misremembering, can reduce the situation of non-standard or missing steps, and ensure the detection quality; 4. For the detection content that requires switch testing, switch signal access and designated settings are also carried out. When detecting the content with switch detection, if the designated switch signal is not detected, even if the duration and other requirements are met, the detection content cannot be completed, further standardizing the detection process and avoiding false detection; 5. The minimum working time and the maximum working time are corrected by means of dynamic model automatic correction. The correction adopts the method of secondary correction after mean comparison, which can ensure the rationality of the minimum working time and the maximum working time; 6. After the detection is completed, the camera files can be automatically integrated into one, ensuring that the subsequent uploaded video file is the original file. If it is unqualified, the retest time will be automatically generated. If it is qualified, only need to select the content such as uploading the original file and sign, reducing the operation difficulty and saving the subsequent processing time; 8. The generation of scene nodes, the sequential detection content, the setting of working time and warnings enable the verification personnel to select the designated scene and time period to quickly view the videos of the designated projects and confirm the warning situation, which is convenient and fast, and increases the convenience of verification; In summary, the system using this method can ensure that the tester arrives at the designated scene at the detection site for detection, can better constrain the tester during the detection, the detection process is clear and reasonable, improving the regularity of the detection, and will better standardize the detection process and automatically correct the duration, preventing laziness and false detection, ensuring the detection quality, and at the same time, the operation and verification are fast and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 It is a schematic flow diagram of creating an account to entry recognition and starting detection content of the present invention; Figure 2 It is a schematic flow diagram of the detection process of the present invention; Figure 3 It is a schematic flow diagram of creating a detection project monitoring list according to the scene of the present invention; Figure 4 It is a schematic flow diagram of creating an alarm list of the present invention; Figure 5 It is a schematic diagram of the hierarchical architecture of the intelligent management system for elevator detection process of the present invention; Figure 6 It is a schematic flow diagram of the help and guidance module of the present invention; Figure 7 It is a simple schematic diagram of scene setting and NFC card assembly of the present invention; In the figure: car - 1, machine room - 2, car top - 3, pit - 4, NFC card - 5. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The present invention will be further described in detail below in conjunction with the embodiments, but the embodiments of the present invention are not limited thereto.

[0023] Embodiment 1: The present invention provides an intelligent management method for elevator detection process: The method includes the following steps: S101: Create an account, set up a background supervision account and a tester account; S102: The system claims the detection task from the elevator supervision platform; S1: Enter the identification code of each elevator, and divide the detection scene options for the car 1, machine room 2, car top 3, and pit 4 of each elevator; Enter the information of the independent and elevator - bound NFC card 5 for the detection scene options of the car 1, machine room 2, car top 3, and pit 4 of each elevator respectively, and assemble the four NFC cards 5 in the four detection scenes corresponding to the elevator. S2: Create a detection item monitoring list among the four scenario detection options. Create multiple detection contents arranged in sequence in the detection item monitoring list. For each detection content, set the detection requirements, initial minimum working hours, and maximum working hours. Set the time range for calculating the average value of the minimum working hours. The system automatically corrects the minimum working hour duration according to the proportion of the highest average value in the minimum working hours and the adjusted average values of the second and third highest proportions, and automatically adjusts the maximum working hours at fixed time intervals; S3: Connect the switch trigger signal of the elevator to the system, and set the corresponding signal trigger recognition items according to the detection contents; S4: Enter the information of the intelligent wearable device and assign the tester to wear the intelligent wearable device. The intelligent wearable device has functions of NFC identification, voice broadcast, intercom, positioning, camera, vibration sensing, and wearing recognition; S5: Create an alarm list, which includes overtime alarm, silent alarm, off-wearing alarm, and away-from-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-alarm times for a single detection of the inspection form. Triggering a pre-alarm before reaching the number of pre-alarm times will not lock the detection content, and no pre-alarm will be triggered after reaching the number of pre-alarm times; S6: The system pairs the information of the NFC card 5, the assigned tester, and the information of the assigned intelligent wearable device; S7: The tester scans the identification code of the elevator to confirm the elevator information to be detected and conducts face recognition to enter the site; S701: Create an inspection form, assign the form, and the tester claims the inspection form; S702: The tester wears the detection equipment, opens the detection APP, logs in to the account, and activates the inspection form of the corresponding elevator; S8: The tester arrives at the corresponding scenario according to the detection content and scans the NFC card 5. The system compares whether the information of the tester, the intelligent wearable device, and the NFC card 5 is correct. Only when the comparison is correct can the detection start. The camera and recording are automatically turned on. The detection item monitoring list is opened item by item and broadcast, and at the same time, the timing of the detection content starts. The current detection content cannot be completed and the next detection content cannot be opened if the minimum working hours are not reached. For the detection content with switch actions, it is also necessary to compare with the signal set in S3. An overtime alarm will be triggered if the maximum working hours are exceeded; S9: When an alarm is triggered and the tester manually pauses, the inspection form will be locked and a voice prompt will be given, and an alarm signal will be sent to the supervision account. The supervision account can connect to the intelligent wearable device to view the on-site situation. Unlocking the inspection form requires the assigned tester to re-identify the NFC card 5 of the corresponding scenario; S10: End the inspection of the order, confirm whether there are any missed inspections and whether the order is qualified. For missed inspection items, the identification device must be rescaned for supplementary inspection. For unqualified orders, make a note and generate the time for the next reinspection. For qualified orders, the camera files are automatically integrated into one, and a timestamp and scene node are automatically generated. Automatically count the inspection content and the man-hours used; S11: The inspector uploads the original inspection record file, the elevator self-inspection memorandum, inspection pictures, content, and results and signs; S12: The reviewer and approver sign; S13: Report to the special equipment safety supervision system.

[0024] Among them, before S2, there is also S201. S201 sets up an elevator inspection project information database, including the creation of inspection templates, elevator information, and NFC card 5 information. Different inspection contents are added to the inspection templates according to the elevator information.

[0025] Among them, the content announced item by item in S8 inspection items is the inspection content and inspection requirements.

[0026] Among them, the inspection content is the introduction of the inspection part, including the introduction of the part name and location, etc. The inspection requirements are the operation procedures and the required standard requirements of the inspection part, including how to inspect and how to judge whether it is qualified, etc.

[0027] Among them, the intelligent wearable device is a safety helmet.

[0028] When in use, first, set up each inspection information and process, etc. according to the steps. When the inspector conducts the inspection, first log in to the account through the APP to claim the inspection order, and then scan the identification code of the designated elevator through the designated intelligent wearable device to obtain the elevator information. After confirming that the elevator information is correct, the inspector conducts face recognition to enter the site; Next, the inspector goes to the car 1 or machine room 2 or car top 3 or pit 4 of the corresponding elevator according to the inspection content, and confirms the inspection point by scanning the NFC card 5 of the car 1 or machine room 2 or car top 3 or pit 4 of the corresponding elevator, and starts the inspection; After starting the inspection, the voice, camera, positioning, and wearing recognition functions of the intelligent wearable device are automatically turned on, and the first inspection content is also turned on. The intelligent wearable device announces the inspection content and requirements. At this time, each inspection content requires a minimum man-hour to be completed, and the next content cannot be turned on until the current inspection content is not completed. For inspection contents with switch actions, the system also needs to detect that the corresponding trigger signal matches the input signal information to complete the current inspection content and turn on the next inspection content, realizing multiple false inspection certifications; During the detection process, if the intelligent wearable device of the inspector identifies timeout, silence, detachment from wearing, and being away from the detection scenario, it will trigger an alarm, and will give voice prompts and upload the alarm through the intelligent wearable device. At the same time, the inspection form will be locked. At this time, the inspector needs to rescan the NFC card 5 for on-site confirmation according to the inspection content to unlock the inspection form. When the alarm is triggered, the supervisor will also receive a message and can remotely connect to the intelligent wearable device to view it. Before the alarm is triggered, the system can also give a prompt before the alarm is triggered according to the set number of pre-alarms to reduce false alarms. Combined with the settings of the minimum working hours and the maximum working hours, it can prevent situations such as inspectors slacking off, playing with mobile phones, wearing safety equipment irregularly, and leaving the detection point for a long time, and can also prevent the situation where inspectors cannot detect due to overtime, ensuring that each item can be detected in a timely manner, improving efficiency and the quality of the inspection form at the same time; Finally, after all the inspection contents of the entire elevator car 1, machine room 2, car top 3, and pit 4 are completed, the camera files can be automatically integrated into one, ensuring that the subsequent uploaded video file is the original file. For unqualified orders, the re-inspection time is automatically generated. For qualified orders, the inspector only needs to select to upload the original file, select to upload pictures, etc. and sign, reducing the operation difficulty and saving the subsequent processing time. The entire inspection process is fixed and clear, ensuring that the inspector clearly understands the inspection content and there will be no missing items, omitted items, or false detections, enabling the system to better supervise and record the work situation of the inspector and better prompt the inspector to operate. The division settings of the car 1, machine room 2, car top 3, and pit 4, the sequential inspection content settings, the minimum working hours settings, and the alarm settings also enable the verification personnel to select a specified time period to quickly view the videos of the specified items and confirm the alarm situation, which is convenient and fast, increasing the convenience of verification; Moreover, the trigger of the alarm will prompt the settings of the supervision account and the silent alarm, and can also prevent the supervisor from timely discovering when the inspector is physically uncomfortable or injured during the detection process, increasing safety; At the same time, the minimum working hours and the maximum working hours of the system are corrected in an automatic correction method. The correction adopts the method of secondary correction after mean comparison, which can ensure the rationality of the minimum working hours and the maximum working hours.

[0029] Embodiment 2: Compared with the first embodiment, in S5, the trigger duration of the silent alarm is divided into a vibration silent trigger duration and a frame silent trigger duration. The vibration silent trigger duration is less than the frame silent trigger duration. During the vibration silent trigger duration, if the smart wearable device does not give a vibration signal, the silent alarm will be triggered. During the frame silent trigger duration, even if there is a vibration signal, but the change in the frame is always less than between one-fourth and half of the frame, the silent alarm will also be triggered. Since the operator will always be accompanied by actions and visual movements during the detection operation, through the dual detection method combining vibration monitoring and detection of the change in the frame of the picture, the system makes the trigger of the silent alarm more hierarchical, can better avoid the situations that are easily evaded by single detection, and improve the accuracy of the silent alarm. The rest of the structure and effects remain unchanged.

[0030] Embodiment Three: Compared with the foregoing embodiments, the tester accounts are divided into ordinary accounts and tutor accounts. Both the ordinary accounts and tutor accounts are set with a help module, and the tutor accounts are set with a guidance module. When a help request is sent, the detection content of the current account enters a suspended state and a help request message is sent to the system. The system searches for tutor accounts according to the signal sending location, and the tutor account closest in distance receives the help request message first. The tutor account can choose to help or refuse through the guidance module. When choosing to help, the detection content of the tutor account will be suspended and the smart wearable device of an ordinary tester can be accessed for remote viewing and guidance; Set a help information response duration. When the tutor account closest in distance chooses to refuse or reaches the response duration, the system automatically matches the next tutor account; Set a total response duration. When there is still no one to guide the help request message within the total response duration, the supervision account will receive a prompt message; Set the number of times the help request is not responded to. When the help request reaches the number of times it is not responded to, the tester can manually choose to contact the supervision account.

[0031] Among them, in S10, there is also a scoring system. The scoring system will automatically screen out the number of pre-alarm times, alarm times, manual pause times, help pause times, and guidance pause times of the inspection form, set the scoring items for each number of times, and the scoring system automatically generates an inspection form scoring sheet according to the number of times. The inspection form scoring sheet is independently sent to the supervision account and will not be reported together with the inspection form, automatically counts the number of help requests for the detection content and generates a ranking report.

[0032] Among them, the tutor accounts are divided into ordinary tutor accounts and designated tutor accounts. Set the priority response distance for the designated tutor account. The priority response distance of the designated tutor account minus the response distance of the ordinary tutor is the response distance of the designated tutor.

[0033] During use, when the inspector encounters a difficult problem that they don't know how to solve, they can choose to request help. According to the set requirements, the system can quickly match the nearest general tutor or designated tutor for selective assistance. When it is difficult to clarify remotely, the tutor can arrive at the scene faster to handle the assistance, enabling the inspector's problems to be quickly solved. When there is no response to the help request, the inspector can choose to automatically notify the supervisor, which is convenient for the supervisor to reasonably arrange help handling and avoid situations such as all problems concentrating on the supervisor resulting in untimely arrangements. The rest of the structure and effects remain unchanged. At the same time, the help request statistics and ranking are convenient for subsequent targeted guidance and training, and the scoring system also increases the enthusiasm of employees, improving the detection quality and system usability.

[0034] Embodiment 4: 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, intelligent wearable devices, and a handheld terminal. The network access layer includes a wireless network, a trailing network cable, and an RF-field near-field power supply for 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, and a smart 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 smart supervision platform also interacts with the elevator inspection data center and the collection subsystem.

[0035] Among them, the wireless network is NB-IOT / 4G.

[0036] By setting multiple network access methods, it is ensured that the intelligent wearable device 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 for better data storage and management.

[0037] Among them, the intelligent supervision platform includes a basic file management module, a detection project application management module, a detection data statistics module, a detection specification correction module, an Internet of Things terminal management module, a detection quality assessment management module, a public supervision module, and a scoring module. The basic file management module is used for viewing and managing the files of inspectors, equipment, and the company. The detection project application management module is used for creating, modifying, and deleting different detection projects. The detection project application management module can edit the detection templates for different detection projects, and is used for quickly inputting detection projects by different detection devices according to the detection templates. The detection data statistics module is used for counting the time used, help information, and requirements of each detection content, and can generate a ranking list of help information for detection content. The detection specification correction module is used for calculating the time period with the highest proportion within a fixed time area in the last fifty groups of the same detection content, comparing the average time of this time period with the average times of the second and third highest proportion time periods, increasing and decreasing the average time of the highest proportion according to the difference between the average times of the second and third highest proportion, and then using this average time to replace the minimum working hours of the original detection content, and automatically adjusting the maximum working hours at fixed time intervals. The Internet of Things terminal management module is used for the control and management of the transmission network. The detection quality assessment management module is used for viewing and assessing the detection information of inspectors and for remote real-time monitoring and assessment. The public supervision module is used for the public to view and access the detection information of inspectors and for feedback. The scoring module is used for overall scoring of inspectors by taking into account the number of detection forms of each inspector, the quality of each detection form, the number of help requests, and the number of guidance times.

[0038] By setting up the detection data statistics module, the system can automatically count the time and help information of pigeon detection content. Combining with the automatically generated ranking list of help information, it is convenient to summarize the problems encountered in subsequent training and improve work quality. At the same time, combining with the detection specification correction module, by continuously updating the time period with the highest proportion within a fixed time area in the last fifty groups of the same detection content, comparing the average time of this time period with the average times of the second and third highest proportion time periods, increasing and decreasing the average time of the highest proportion according to the difference between the average times of the second and third highest proportion, and then using this average time to replace the minimum working hours of the original detection content to achieve the correction of the minimum working hours. The mean comparison and adjustment can reduce the error of a single mean, making the finally obtained minimum working hours better fit the actual working hours. By also setting up the detection quality assessment management module and the public supervision module, it is convenient for designated personnel to check and assess the monitoring quality, and at the same time enables the public to view and give feedback, ensuring the detection quality.

[0039] 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 request statistics module. The alarm management module is used for the input and management of pre-alarm and alarm information. The smart wearable device management module is used for the input and management of smart wearable device information. The security inspection process status detection module is used for the real-time detection of smart wearable devices during the security inspection process. The system setting module is used for the on / off setting of various detection functions. The data acquisition module is used for the acquisition of on-site data. The video management module is used for the integration and upload of videos. The help request statistics module is used for the statistics and ranking of the number of help requests for triggered help request content.

[0040] Among them, when the S9 triggers an alarm and the inspector manually pauses, the video and alarm information will be uploaded to the acquisition subsystem.

[0041] Ensure that detection materials such as videos are source files, which is convenient for the retrieval of detection data, further ensures the quality of detection, and prevents false detection situations.

[0042] The above shows and describes the basic principles, main features, and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic features of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

[0043] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A smart management method for the elevator detection process, characterized in that, Including the following steps: S1: Enter the identification code of each elevator, and divide the detection scenario options for the car (1), machine room (2), car top (3) and pit (4) of each elevator. Enter the information of the NFC card (5) that is independent and bound to the elevator for each scenario option, and assemble the NFC card (5) at the corresponding position of the corresponding elevator; S2: Create multiple detection contents arranged in order in the scenario detection option. Each detection content is set with detection requirements, initial minimum working hours and maximum working hours. Set the time range for calculating the mean of the minimum working hours. The system automatically corrects the minimum working hour duration according to the mean with the highest proportion in the minimum working hours and the means with the second and third highest proportions after proportional adjustment, and automatically adjusts the maximum working hours at fixed time intervals; S3: Connect the switch trigger signal of the elevator to the system, and set the corresponding signal trigger recognition items according to the detection content; S4: Enter the information of the intelligent wearable device and specify the inspector wearing the intelligent wearable device; S5: Create a pre-warning and warning list. The warning list includes timeout warning, silent warning, disengagement warning and away from positioning warning; S6: The system pairs the information of the NFC card (5), the specified inspector and the specified intelligent wearable device information; S7: The inspector scans the identification code of the elevator to confirm the elevator information to be detected and conducts face recognition to enter the site; S8: Scan the scenario NFC card (5). The system compares the on-site information with the paired information in S7. If the comparison is correct, the camera, recording and detection content broadcast will be automatically turned on, and the detection content timing will start. If the minimum working hours are not reached, the current detection content cannot be completed and the next detection content cannot be started. For the detection content with switch actions, it is also necessary to compare with the signal set in S3. If the maximum working hours are exceeded, a timeout warning will be triggered; S9: Triggering a warning and the inspector manually pausing will lock the inspection form. Unlocking the inspection form requires re-identifying the NFC card (5) of the corresponding scenario; S10: End the inspection order, make remarks on the unqualified order and generate the next re-inspection time. For the qualified order, the camera files are automatically integrated into one, and a timestamp and scenario nodes are automatically generated, and the detection content and the working hours used are automatically counted.

2. The intelligent management method for the elevator detection process according to claim 1, wherein: Before S1, there also includes S101: Create an account, set the background supervision account and inspector account; S102: The system claims the inspection task from the elevator supervision platform; Before S7, there also includes S701: Create an inspection form, assign the form and the inspector claims the inspection form; S702: The inspector wears the inspection equipment, opens the inspection APP, logs in to the account and opens the inspection form of the corresponding elevator; After S10, there is also S11: The inspector uploads the original inspection record file, the elevator self-inspection memorandum, inspection pictures, content and results and signs; S12: The reviewer and approver sign; S13: Report to the special equipment safety supervision system.

3. The intelligent management method for the elevator detection process according to claim 2, wherein: The intelligent wearable device has the functions of NFC identification, voice broadcast, intercom, positioning, camera, vibration sensing and wearing identification; In S5, set the corresponding alarm triggering 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 detection process according to claim 3, wherein: 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.

5. The intelligent management method for the elevator detection process according to claim 3, wherein: 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 position. 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 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 information. When the nearest tutor account chooses to reject or reaches the response time, the system automatically matches the next tutor account. Set the total response time. If there is still no personnel 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 the elevator detection 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 pauses and guidance pauses of the inspection 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 scoring sheet will be sent independently to the supervision account. At the same time, the system will automatically count the number of help requests for the inspection content and produce a ranking report.

7. A smart management method for the elevator detection 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 the elevator inspection process using the intelligent management method for the 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. 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 arranged 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. 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, wherein: The intelligent supervision platform includes a basic file management module, a detection project application management module, a detection data statistics module, a detection specification correction module, an Internet of Things terminal management module, a detection quality assessment management module, a public supervision module, and a scoring module. The basic file management module is used for viewing and managing the files of inspectors, equipment, and companies. The detection project application management module is used for creating, modifying, and deleting different detection projects. The detection project application management module can edit the detection templates for different detection projects, and is used for quickly inputting detection projects according to the detection templates by different detection devices. The detection data statistics module is used for counting the time used, help information, and requirements of each detection content, and can generate a ranking list of help information for detection content. The detection specification correction module is used for calculating the time period with the highest proportion within a fixed time range among the last fifty groups of the same detection content, and comparing the average time of this time period with the average times of the second and third highest proportion time periods. According to the difference between the average times of the second and third highest proportions, the average time with the highest proportion is increased and decreased proportionally, and then this 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 the control and management of the transmission network. The detection quality assessment management module is used for viewing and assessing the detection information of randomly selected inspectors and conducting remote real-time monitoring and assessment. The public supervision module is used for the public to view the detection information of inspectors and provide feedback. The scoring module is used for comprehensively considering the number of detection forms of each inspector, the quality of each detection form, the number of help requests, and the number of guidance times to score the inspectors.

10. The intelligent management system for elevator detection 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 settings module, a data acquisition module, a video management module, and a help request statistics module. The alarm management module is used for the entry and management of pre-alarm and alarm information. The smart wearable device management module is used for the entry and management of smart wearable device information. The security inspection process status detection module is used for the real-time detection of smart wearable devices during the security inspection process. The system settings module is used for the on / off settings of various detection functions. The data acquisition module is used for the acquisition of on-site data. The video management module is used for the integration and upload of videos. The help request statistics module is used for counting and ranking the number of help requests for triggered help content.

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