CN117105040B - Rapid inspection method for special equipment - Google Patents
Rapid inspection method for special equipment Download PDFInfo
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- CN117105040B CN117105040B CN202311379214.XA CN202311379214A CN117105040B CN 117105040 B CN117105040 B CN 117105040B CN 202311379214 A CN202311379214 A CN 202311379214A CN 117105040 B CN117105040 B CN 117105040B
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- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000007689 inspection Methods 0.000 title claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 91
- 238000004458 analytical method Methods 0.000 claims abstract description 20
- 230000001133 acceleration Effects 0.000 claims description 33
- 238000012545 processing Methods 0.000 claims description 27
- 238000012216 screening Methods 0.000 claims description 19
- 238000005070 sampling Methods 0.000 claims description 11
- 238000004148 unit process Methods 0.000 claims description 8
- 230000001174 ascending effect Effects 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 238000005286 illumination Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000000872 buffer Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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- 238000011897 real-time detection Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention provides a rapid inspection method for special equipment, and relates to the technical field of equipment detection. According to the invention, the intelligent mobile phone provided with the terminal APP is used for realizing the deployment of terminal characteristic acquisition equipment, the existing mobile phone hardware resources can be fully utilized under the condition that other hardware devices are not added, and in the process of using the elevator daily along with a user, the legal acquisition and uploading of the sensor data can be carried out in the background, so that the whole-process noninductive detection of the elevator can be realized at any time in daily life, the detection frequency of the elevator equipment is increased, and the problem of the elevator can be found in the first time; the equipment detection analysis rear end carries out feature matching classification on the terminal elevator matching unit and the terminal elevator matching unit, so that the terminal feature data collected by the intelligent mobile phone are determined to come from specific elevator equipment, and the rapid detection of the current elevator equipment can be realized through relevant detection data.
Description
Technical Field
The invention relates to the technical field of equipment detection, in particular to a rapid inspection method for special equipment.
Background
The traction driving passenger elevator (hereinafter referred to as an elevator) is frequently used transportation equipment in our daily life, and the safety and the comfort of the transportation equipment can directly influence the travel experience of people; therefore, equipment detection is required to be carried out on the elevator regularly so as to ensure the stable and normal operation of the elevator.
In the traditional detection of the running stability of the elevator, a worker usually measures relevant parameters of the elevator through special detection equipment, and the method relies on the special detection equipment and cannot efficiently and simply detect the running stability of the elevator quickly; therefore, the invention patent with the application number of CN201510304104.6 provides an elevator debugging method based on a smart phone, wherein the application acquires real-time detection data by utilizing Bluetooth or Wi-Fi data transmission, feeds back the elevator transportation quality grade by a smart phone end, gives out an elevator debugging scheme according to the noise grade and the vibration grade, abandons complicated measurement steps, reduces the labor intensity of on-site staff, improves the acceptance of a user to a measurement result, and enhances the operability of measurement equipment.
However, the data acquisition and source of the scheme still keeps the professional operator to perform through the professional equipment; the functions of the intelligent equipment are not fully utilized, and a great improvement space is still reserved; therefore, it is necessary to provide a quick inspection method for special equipment to solve the above technical problems.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rapid inspection method for special equipment, which comprises the following steps of:
step 1: the user installs a terminal APP on the smart phone, and authorizes the terminal APP to use the smart phone and run in the background;
step 2: the terminal APP locates the smart phone through the GPS sensor and establishes network connection with the equipment detection analysis rear end after reaching the detection area;
step 3: the equipment detects and analyzes elevator characteristic acquisition equipment of a retrieval detection area at the rear end, and continuously acquires traction control data and elevator door control data to obtain elevator characteristic data;
step 4: the terminal APP starts an acceleration sensor, a sound sensor and a photosensitive sensor to acquire data, and a sampling time stamp is marked through an internal clock to obtain terminal characteristic data;
step 5: the terminal elevator matching unit performs characteristic matching classification on the terminal characteristic data and the elevator characteristic data, and matches the terminal characteristic data to corresponding specific elevator equipment;
step 6: the terminal data processing unit processes the terminal characteristic data to obtain relevant detection data of each elevator device;
step 7: the equipment detection analysis unit calls a detection scoring table, and scores the comfort level of the elevator equipment through relevant detection data to obtain an elevator comfort level value;
step 8: and repeating the steps to obtain the elevator comfort value of each elevator device, comparing the elevator comfort value with a preset warning threshold value, and judging whether to delegate relevant personnel to carry out equipment maintenance.
As a further solution, the terminal elevator matching unit performs feature data processing by:
carrying out time unified alignment on the ladder door control data, the traction control data and the terminal movement data through sampling time stamps;
the traction control data are processed to obtain an elevator lifting event, an elevator descending event and a stopping event of the elevator equipment; wherein, the elevator ascending event corresponds to a primary motor pulling-up process, the elevator descending event corresponds to a primary motor lowering process, and the stopping event corresponds to a primary motor locking process;
acquiring door opening events and door closing events of elevator equipment by processing elevator door control data; wherein, the door opening event corresponds to a primary elevator door opening process, and the door closing event corresponds to a primary elevator door closing process;
matching the door opening event and the door closing event in the period of the occurrence of the parking event in pairs through the sampling time stamp to obtain the door opening event and the corresponding door opening and closing time period;
and processing the terminal movement data to acquire an upper layer movement event, a lower layer movement event and a flat layer movement event of the smart phone.
As a further solution, the terminal elevator matching unit performs feature matching classification by:
step A: when the elevator equipment executes a door opening and closing event, screening the smart phone which is in a flat layer moving event in a door opening and closing time period in a detection area, adding the smart phone into a primary screening sequence and recording the current floor of the elevator equipment;
step B1: when elevator equipment executes an elevator lifting event, if a smart phone which performs an upper-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step B2: when the elevator equipment executes a descending event, if a smart phone which performs a lower-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step C: when the elevator equipment executes a stop event, if a smart phone which performs a leveling movement event at the same time exists in the rescreening sequence, judging that the smart phone is matched with the current elevator equipment, and adding the smart phone into the elevator sequence;
step D: when the elevator equipment executes an elevator ascending event/elevator descending event, if a smart phone which simultaneously carries out a leveling movement event exists in the elevator sequence, the smart phone is removed from the elevator sequence and the floor where the elevator equipment is currently located is recorded;
step E: acquiring a smart phone removed from an elevator sequence, setting a floor where the smart phone is recorded for the first time as an entrance floor, and setting a floor where the smart phone is not recorded for the second time as an exit floor;
step F: and (3) circularly executing the steps A to E to finish feature matching classification of the smart phone and acquisition of the landing floor and the landing floor.
As a further solution, the terminal data processing unit acquires the mobile acceleration of the smart phone in real time through the acceleration sensor, and performs the following data processing:
acquiring a range of entering a stair floor, and solving a moving acceleration average value within the range of entering the stair floor to obtain the starting acceleration of the elevator;
obtaining a ladder floor range, and obtaining a moving acceleration average value in the ladder floor range to obtain elevator braking deceleration;
the method comprises the steps of obtaining the time period that the intelligent mobile phone is positioned between an entrance building layer and an exit building layer, obtaining the integral of the moving acceleration to time in the time period, obtaining the speed variation of the intelligent mobile phone in the integral time period, and taking the speed variation corresponding to each time as the elevator running speed of elevator equipment between the entrance building layer and the exit building layer.
Compared with the related art, the rapid inspection method for the special equipment has the following beneficial effects:
according to the invention, the intelligent mobile phone provided with the terminal APP is used for realizing the deployment of terminal characteristic acquisition equipment, the existing mobile phone hardware resources can be fully utilized under the condition that other hardware devices are not added, and in the process of using the elevator daily along with a user, the legal acquisition and uploading of the sensor data can be carried out in the background, so that the whole-process noninductive detection of the elevator can be realized at any time in daily life, the detection frequency of the elevator equipment is increased, and the problem of the elevator can be found in the first time; the equipment detection analysis rear end carries out feature matching classification on the terminal elevator matching unit and the terminal elevator matching unit, so that the terminal feature data collected by the intelligent mobile phone are determined to come from specific elevator equipment, and the rapid detection of the current elevator equipment can be realized through relevant detection data.
Drawings
FIG. 1 is a schematic diagram of steps of a method for rapidly inspecting a special device according to the present invention;
FIG. 2 is a schematic diagram of a feature matching classification step according to the present invention;
fig. 3 is a schematic structural diagram of a feature device detection system for an elevator according to the present invention.
Detailed Description
The invention will be further described with reference to the drawings and embodiments.
With the continuous development of social informatization process, a few business scenes are combined with smart phones, so that process simplification and equipment substitution are realized, for example: a mobile phone NFC access control card, a mobile phone unmanned aerial vehicle controller and the like.
The prior art also makes an attempt in the direction, and as an elevator debugging method based on a smart phone, which is proposed by the invention patent with the application number of CN201510304104.6, the elevator is debugged through the smart phone, an elevator quality detection device and a background server; however, this method still requires the operator to carry the relevant equipment into the elevator and perform the bottom to top full detection, and inevitably requires the provision of elevator quality detection means for the relevant data acquisition.
In addition, the elevator parameter setting system, the elevator parameter setting method and the intelligent mobile phone provided by the invention patent with the application number of CN201310404142.X replace some picture shooting, mobile phone recording and data uploading by the intelligent mobile phone, so that the setting of an operator is replaced, and the operation difficulty and the equipment cost of debugging personnel are reduced. However, the application requires the operator to perform parameter adjustment by means of an external acquisition device as in the above application.
The reason is that both require the operator to perform field detection, and since both require the operator to go to the corresponding location to perform equipment detection, it is necessary to carry the corresponding acquisition equipment; the carrying device can reduce the construction complexity of the software end, so that the detection data which is as accurate as possible can be obtained in the limited detection times, which is an informatization strategy in the aspect of elevator related data acquisition in the prior art, namely: replacing intermediate equipment by the smart phone, and keeping professional operators to perform data acquisition and source through the professional equipment; however, the scheme does not fully utilize the functions of the intelligent equipment, and still has a great room for improvement.
The popularity of the smart mobile phone is extremely high at the present stage, the degree of 'one hand of a person' is basically achieved, and most of users can carry the mobile phone with them when taking an elevator; if we collect the relevant detection data through the smart phone to carry out preliminary simple detection, then we just can realize the equipment detection through the normal use elevator process of owner under the condition that personnel and equipment cost are not additionally arranged, increase the detection frequency to elevator equipment to find that the elevator has a problem in the first time.
As shown in fig. 1, the method for quickly inspecting special equipment provided in this embodiment is applied to the system for detecting the characteristic equipment of the elevator according to any one of the above, and the equipment detection is performed by the following steps:
step 1: the user installs a terminal APP on the smart phone, and authorizes the terminal APP to use the smart phone and run in the background;
step 2: the terminal APP locates the smart phone through the GPS sensor and establishes network connection with the equipment detection analysis rear end after reaching the detection area;
step 3: the equipment detects and analyzes elevator characteristic acquisition equipment of a retrieval detection area at the rear end, and continuously acquires traction control data and elevator door control data to obtain elevator characteristic data;
step 4: the terminal APP starts an acceleration sensor, a sound sensor and a photosensitive sensor to acquire data, and a sampling time stamp is marked through an internal clock to obtain terminal characteristic data;
step 5: the terminal elevator matching unit performs characteristic matching classification on the terminal characteristic data and the elevator characteristic data, and matches the terminal characteristic data to corresponding specific elevator equipment;
step 6: the terminal data processing unit processes the terminal characteristic data to obtain relevant detection data of each elevator device;
step 7: the equipment detection analysis unit calls a detection scoring table, and scores the comfort level of the elevator equipment through relevant detection data to obtain an elevator comfort level value;
step 8: and repeating the steps to obtain the elevator comfort value of each elevator device, comparing the elevator comfort value with a preset warning threshold value, and judging whether to delegate relevant personnel to carry out equipment maintenance.
It should be noted that: the equipment detection method provided by the embodiment does not need to set new hardware equipment, makes full use of the existing equipment, and accurately classifies the terminal characteristic data onto the corresponding elevator equipment by establishing the characteristic matching relation among the data.
As a further solution, the terminal elevator matching unit performs feature data processing by:
carrying out time unified alignment on the ladder door control data, the traction control data and the terminal movement data through sampling time stamps;
the traction control data are processed to obtain an elevator lifting event, an elevator descending event and a stopping event of the elevator equipment; wherein, the elevator ascending event corresponds to a primary motor pulling-up process, the elevator descending event corresponds to a primary motor lowering process, and the stopping event corresponds to a primary motor locking process;
acquiring door opening events and door closing events of elevator equipment by processing elevator door control data; wherein, the door opening event corresponds to a primary elevator door opening process, and the door closing event corresponds to a primary elevator door closing process;
matching the door opening event and the door closing event in the period of the occurrence of the parking event in pairs through the sampling time stamp to obtain the door opening event and the corresponding door opening and closing time period;
and processing the terminal movement data to acquire an upper layer movement event, a lower layer movement event and a flat layer movement event of the smart phone.
It should be noted that: the method mainly aims at extracting feature data required by feature matching and classifying, and mainly starts from three aspects of time matching, event matching and process matching, so that accurate classifying is realized.
As a still further solution, as shown in fig. 2, the terminal elevator matching unit performs feature matching classification by:
step A: when the elevator equipment executes a door opening and closing event, screening the smart phone which is in a flat layer moving event in a door opening and closing time period in a detection area, adding the smart phone into a primary screening sequence and recording the current floor of the elevator equipment;
step B1: when elevator equipment executes an elevator lifting event, if a smart phone which performs an upper-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step B2: when the elevator equipment executes a descending event, if a smart phone which performs a lower-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step C: when the elevator equipment executes a stop event, if a smart phone which performs a leveling movement event at the same time exists in the rescreening sequence, judging that the smart phone is matched with the current elevator equipment, and adding the smart phone into the elevator sequence;
step D: when the elevator equipment executes an elevator ascending event/elevator descending event, if a smart phone which simultaneously carries out a leveling movement event exists in the elevator sequence, the smart phone is removed from the elevator sequence and the floor where the elevator equipment is currently located is recorded;
step E: acquiring a smart phone removed from an elevator sequence, setting a floor where the smart phone is recorded for the first time as an entrance floor, and setting a floor where the smart phone is not recorded for the second time as an exit floor;
step F: and (3) circularly executing the steps A to E to finish feature matching classification of the smart phone and acquisition of the landing floor and the landing floor.
It should be noted that: this step is the key to implementing the overall scheme; firstly, the collected terminal characteristic data are not matched with specific elevator equipment, namely, the user does not know which elevator is entered in advance, and the elevator does not need to identify the identity of the user by adding more equipment for automatic detection (high cost and privacy leakage), so that the user needs to start in the aspect of characteristic data, and the three aspects of time matching, event matching and process matching are started;
for step a, when the user enters the elevator, then the elevator must be in the process of performing a door opening and closing event, i.e., the corresponding times match to door opening and closing periods; and at this time, the user must move on the flat layer, so the event is matched as a flat layer moving event; at this time, we can screen the preliminary potential targets, and the matching is not satisfied;
for the step B1 and the step B2, the two conditions after the step A are corresponding, and when an elevator is in an elevator event, if a user is in the elevator, the upper layer movement event is corresponding; when the elevator falls down, if the user is in the elevator, the elevator corresponds to a lower-layer moving event; if the process is satisfied, part of the process is considered to be matched, further judgment can be carried out, otherwise, the process is directly removed;
for step C, the elevator is stopped at a certain floor, possibly reaching the target floor, possibly leaving the elevator for other users, or waiting for a new user to enter the elevator, and waiting for stopping; however, for the user in the re-screening sequence, if the user is truly located in the current elevator equipment, the leveling movement event is executed at the same time, so far, if the user is satisfied, the whole process is considered to be matched, and the user and the smart phone thereof are truly taken in the elevator equipment;
for step D, we also need to obtain when and on which floor the user gets out of the elevator, so when the elevator is either ascending or descending, if there is a smartphone in the elevator sequence that performs a level movement event, we can consider that the user has got out of the elevator, and can locate the corresponding landing and time;
therefore, the feature matching and classifying of the smart phone are completed once, the elevator equipment corresponding to the riding elevator equipment is found, terminal feature data acquired by the smart phone are matched to the corresponding elevator equipment during the period, and the steps are repeated, so that the feature matching and classifying of the terminal feature data can be completed.
As a further solution, the terminal data processing unit acquires the mobile acceleration of the smart phone in real time through the acceleration sensor, and performs the following data processing:
acquiring a range of entering a stair floor, and solving a moving acceleration average value within the range of entering the stair floor to obtain the starting acceleration of the elevator;
obtaining a ladder floor range, and obtaining a moving acceleration average value in the ladder floor range to obtain elevator braking deceleration;
the method comprises the steps of obtaining the time period that the intelligent mobile phone is positioned between an entrance building layer and an exit building layer, obtaining the integral of the moving acceleration to time in the time period, obtaining the speed variation of the intelligent mobile phone in the integral time period, and taking the speed variation corresponding to each time as the elevator running speed of elevator equipment between the entrance building layer and the exit building layer.
It should be noted that: the terminal characteristic data corresponding to each movement process of the intelligent mobile phone is obtained through characteristic matching and classification, and through the data, whether the noise is excessive when a door is opened or closed, whether the acceleration is excessive when an elevator is started, whether the deceleration is excessive when the elevator is braked, whether the noise is excessive in the running process, whether the illumination is comfortable when a user is positioned in the elevator and the like can be judged; the processing of the mobile acceleration of the smart phone is only described, so as to obtain the required relevant detection data.
In a specific embodiment, the detection score table called by the equipment detection analysis unit is a traction drive passenger elevator comfort detection score table, as shown in table 1:
by means of the relevant detection data of the elevator devices and the corresponding floors, the specific comfort condition of the elevator devices on the floors can be detected, and when the comfort score is lower than a threshold value, relevant personnel are informed to carry out more careful detection maintenance.
As shown in fig. 3, in this embodiment, the above detection method is performed by a feature device detection system in a specific embodiment, which includes a terminal feature collection device, an elevator feature collection device, and a device detection analysis backend; wherein,
the terminal characteristic acquisition equipment is set through a smart phone provided with a terminal APP, wherein the smart phone comprises an MCU processor, a wireless communication module, a GPS sensor, an acceleration sensor, a sound sensor and a photosensitive sensor; the terminal APP is used for legally acquiring the use authority of the smart phone, anonymously encrypting the sensor data through the MCU processor, and uploading the sensor data to the equipment detection analysis rear end through the wireless communication module;
the elevator characteristic acquisition equipment is set through a PLC data acquisition device and a data uploading device; the PLC data acquisition device is used for acquiring PLC control data of an elevator PLC controller in real time, wherein the PLC control data comprise traction control data and elevator door control data; the data uploading device receives and uploads PLC control data to the equipment detection analysis rear end in real time;
the equipment detection analysis rear end comprises a data receiving unit, a terminal elevator matching unit, a terminal data processing unit and an equipment detection analysis unit; the data receiving unit is used for receiving terminal characteristic data uploaded by the terminal characteristic acquisition equipment and elevator characteristic data uploaded by the elevator characteristic acquisition equipment; the terminal elevator matching unit is used for carrying out characteristic matching classification on the terminal characteristic data and the elevator characteristic data and matching the terminal characteristic data to corresponding specific elevator equipment; the terminal data processing unit is used for processing the terminal characteristic data to obtain relevant detection data of each elevator device; the equipment detection analysis unit analyzes and obtains the equipment detection result of each elevator equipment according to the related detection data.
It should be noted that, before building a specific scheme, we first perform feasibility analysis:
firstly, a GPS sensor, an acceleration sensor, a sound sensor and an internal clock are arranged in a smart phone; when stability detection is carried out, relevant detection data such as abnormal elevator sound, elevator shake, elevator inclination, elevator speed and the like are required to be collected; the internal sensors are used in stability detection, namely the intelligent mobile phone is provided with a hardware foundation for collecting relevant detection data;
secondly, because people get in and out of the elevator frequently, a large amount of data can be collected, even if measurement deviation exists in single measurement, the whole analysis is not affected (large deviation is directly removed, and small deviation average value is removed); some smartphones with better hardware base can even provide related detection data with extremely high precision, namely the smartphones have the availability base of the related detection data;
in addition, along with popularization of intelligent community concepts, more and more owners can install terminals APP such as intelligent community APP used in the community on smart phones and are used for managing functions such as entrance guard access, takeout report preparation and elevator control, so that a user can acquire required relevant detection data by utilizing the owner mobile phone to perform stability detection entrance on an elevator on the premise of ensuring data safety and user privacy; that is, the smart phone has a path basis for acquiring security-related detection data.
In summary, the smart phone has a relevant basis for simple equipment detection of the elevator; therefore, the intelligent mobile phone with the terminal APP installed by the user realizes the deployment of the terminal characteristic acquisition equipment, the existing mobile phone hardware resources can be fully utilized under the condition that other hardware devices are not added, the legal acquisition and uploading of the sensor data are carried out in the background during the daily elevator use process of the user, the whole-process noninductive detection of the elevator can be realized at any time during the daily life, the detection frequency of the elevator equipment is increased, and the problem of the elevator can be found at the first time.
In addition, in order to ensure the privacy and information security of the user, the problem to be solved is how to match the acquired anonymous information to the corresponding elevator because the data uploaded to the background terminal is the anonymous information; therefore, the elevator characteristic acquisition equipment is arranged to acquire traction control data and elevator door control data, the equipment detection analysis rear end performs characteristic matching classification on the traction control data and the elevator door control data through the terminal elevator matching unit, so that the specific elevator equipment from which the terminal characteristic data acquired by the intelligent mobile phone come is determined, the terminal characteristic data is subjected to data processing through the terminal data processing unit, relevant detection data corresponding to the elevator equipment is obtained, and the current elevator equipment can be rapidly detected through the relevant detection data.
As a still further solution, the GPS sensor is used for acquiring terminal positioning data, the acceleration sensor is used for acquiring terminal movement data, the sound sensor is used for acquiring environmental sound data, and the photosensitive sensor is used for acquiring environmental illumination data; the terminal data processing unit processes the terminal movement data to obtain the starting acceleration, the braking deceleration and the running speed of the elevator; the terminal data processing unit processes the environmental sound data to obtain intra-ladder noise data and door opening and closing noise data; and the terminal data processing unit processes the environmental illumination data to obtain the illumination data in the ladder.
It should be noted that: the terminal positioning data collected by the GPS sensor can carry out preliminary positioning on the smart phone, so that the searching range of feature matching classification is reduced, and each sensor is started to collect data only after the data reach the corresponding area, so that the background operation power consumption is reduced; the acceleration sensor is a gyroscope in the mobile phone, the sound sensor corresponds to a microphone of the mobile phone, the photosensitive sensor is equipment used for collecting ambient light for self-adaptive adjustment by the mobile phone, and the acceleration sensor is usually arranged with a camera, so that ambient light in a ladder can be collected when a user normally uses the mobile phone.
In a specific embodiment, excessive noise generated during elevator operation affects comfort of elevator operation, even affects life of surrounding households during night operation, and i am set requirements as shown in table 2 for elevator operation noise; elevator equipment management personnel can't frequently carry out elevator and detect, but relies on the environmental sound data that the smart mobile phone gathered, just can discover the problem in the first time that noise exceeds the scope, guarantees elevator comfort level.
As a still further solution, the acceleration sensor is a three-axis acceleration sensor, and the terminal movement data includes X-axis movement data, Y-axis movement data, and Z-axis movement data; the terminal data processing unit processes the terminal movement data and further obtains X-axis vibration data, Y-axis vibration data and Z-axis vibration data.
It should be noted that: the vertical (Z-axis) vibration condition of the elevator in a constant acceleration area and the horizontal (X-axis and Y-axis) vibration condition of the elevator during operation can be obtained through the triaxial acceleration sensor, and the elevator vibration detection device is mainly used for detecting operation vibration and avoiding discomfort caused by elevator vibration to people.
As a further solution, the smart phone further includes a phone memory and an internal clock, and the terminal APP further performs sampling time stamping on each acquired sensor data and buffers the sampling time stamping in the phone memory when the wireless communication module cannot normally connect with the device detection and analysis back end; and when the normal connection is restored, the terminal APP provides the cache data in the mobile phone memory to the equipment detection analysis back end.
It should be noted that: the detection of the elevator is not required to be performed in real time, and the stability of the mobile phone signal can not be ensured in the elevator environment; therefore, in this embodiment, each data is time-stamped, and the data does not need to be uploaded at the first time, but can be uploaded after waiting for the signal to be transferred, and when the data is used, only the time is uniformly aligned through the time-stamped.
The foregoing is only illustrative of the present invention and is not to be construed as limiting the scope of the invention, and all equivalent structures or equivalent flow modifications which may be made by the teachings of the present invention and the accompanying drawings or which may be directly or indirectly employed in other related art are within the scope of the invention.
Claims (2)
1. The quick inspection method for the special equipment is characterized by comprising the following steps of:
step 1: the user installs a terminal APP on the smart phone, and authorizes the terminal APP to use the smart phone and run in the background;
step 2: the terminal APP locates the smart phone through the GPS sensor and establishes network connection with the equipment detection analysis rear end after reaching the detection area;
step 3: the equipment detects and analyzes elevator characteristic acquisition equipment of a retrieval detection area at the rear end, and continuously acquires traction control data and elevator door control data to obtain elevator characteristic data;
step 4: the terminal APP starts an acceleration sensor, a sound sensor and a photosensitive sensor to acquire data, and a sampling time stamp is marked through an internal clock to obtain terminal characteristic data;
step 5: the terminal elevator matching unit performs characteristic matching classification on the terminal characteristic data and the elevator characteristic data, and matches the terminal characteristic data to corresponding specific elevator equipment;
step 6: the terminal data processing unit processes the terminal characteristic data to obtain relevant detection data of each elevator device;
step 7: the equipment detection analysis unit calls a detection scoring table, and scores the comfort level of the elevator equipment through relevant detection data to obtain an elevator comfort level value;
step 8: repeating the steps to obtain elevator comfort values of the elevator equipment, comparing the elevator comfort values with a preset warning threshold value, and judging whether to delegate relevant personnel to carry out equipment maintenance;
the terminal elevator matching unit processes the characteristic data through the following steps:
carrying out time unified alignment on the ladder door control data, the traction control data and the terminal movement data through sampling time stamps;
the traction control data are processed to obtain an elevator lifting event, an elevator descending event and a stopping event of the elevator equipment; wherein, the elevator ascending event corresponds to a primary motor pulling-up process, the elevator descending event corresponds to a primary motor lowering process, and the stopping event corresponds to a primary motor locking process;
acquiring door opening events and door closing events of elevator equipment by processing elevator door control data; wherein, the door opening event corresponds to a primary elevator door opening process, and the door closing event corresponds to a primary elevator door closing process;
matching the door opening event and the door closing event in the period of the occurrence of the parking event in pairs through the sampling time stamp to obtain the door opening event and the corresponding door opening and closing time period;
the method comprises the steps of processing terminal movement data to obtain an upper layer movement event, a lower layer movement event and a flat layer movement event of the smart phone;
the terminal elevator matching unit performs feature matching classification through the following steps:
step A: when the elevator equipment executes a door opening and closing event, screening the smart phone which is in a flat layer moving event in a door opening and closing time period in a detection area, adding the smart phone into a primary screening sequence and recording the current floor of the elevator equipment;
step B1: when elevator equipment executes an elevator lifting event, if a smart phone which performs an upper-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step B2: when the elevator equipment executes a descending event, if a smart phone which performs a lower-layer moving event at the same time exists in the primary screening sequence, adding the smart phone into the secondary screening sequence;
step C: when the elevator equipment executes a stop event, if a smart phone which performs a leveling movement event at the same time exists in the rescreening sequence, judging that the smart phone is matched with the current elevator equipment, and adding the smart phone into the elevator sequence;
step D: when the elevator equipment executes an elevator ascending event/elevator descending event, if a smart phone which simultaneously carries out a leveling movement event exists in the elevator sequence, the smart phone is removed from the elevator sequence and the floor where the elevator equipment is currently located is recorded;
step E: acquiring a smart phone removed from an elevator sequence, setting a floor where the smart phone is recorded for the first time as an entrance floor, and setting a floor where the smart phone is not recorded for the second time as an exit floor;
step F: and (3) circularly executing the steps A to E to finish feature matching classification of the smart phone and acquisition of the landing floor and the landing floor.
2. The rapid inspection method of special equipment according to claim 1, wherein the terminal data processing unit acquires the mobile acceleration of the smart phone in real time through an acceleration sensor and performs the following data processing:
acquiring a range of entering a stair floor, and solving a moving acceleration average value within the range of entering the stair floor to obtain the starting acceleration of the elevator;
obtaining a ladder floor range, and obtaining a moving acceleration average value in the ladder floor range to obtain elevator braking deceleration;
the method comprises the steps of obtaining the time period that the intelligent mobile phone is positioned between an entrance building layer and an exit building layer, obtaining the integral of the moving acceleration to time in the time period, obtaining the speed variation of the intelligent mobile phone in the integral time period, and taking the speed variation corresponding to each time as the elevator running speed of elevator equipment between the entrance building layer and the exit building layer.
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