CN215216638U

CN215216638U - Dehumidifier online diagnosis system

Info

Publication number: CN215216638U
Application number: CN202120115593.1U
Authority: CN
Inventors: 张浩波
Original assignee: Hangzhou Greeme Environment Technology Co ltd
Current assignee: Hangzhou Greeme Environment Technology Co ltd
Priority date: 2021-01-15
Filing date: 2021-01-15
Publication date: 2021-12-17
Anticipated expiration: 2031-01-15

Abstract

The present disclosure relates to an online diagnosis system of a dehumidifier, which comprises a field data acquisition subsystem, a remote data processing subsystem and a state display subsystem, wherein the state display subsystem is arranged on the field: the field data acquisition subsystem is used for acquiring the operation data of the dehumidifier and transmitting the operation data to the remote data processing subsystem; the remote data processing subsystem is used for determining the running state of the dehumidifier based on the running data and transmitting the running state to the state display subsystem; and the state display subsystem is used for displaying the running state and realizing troubleshooting and maintenance based on remote communication when the dehumidifier has a fault. According to the technical scheme, the remote online diagnosis system for the dehumidifier can solve the problem of high field maintenance cost, is beneficial to reducing the time for user maintenance waiting, and saves the maintenance cost and the time cost for manufacturers and users.

Description

Dehumidifier online diagnosis system

Technical Field

The disclosure relates to the technical field of dehumidifiers, in particular to an online diagnosis system of a dehumidifier.

Background

With the improvement of the life quality of people, people pursue their own health, and pursue the comfort level of living environment is increasing day by day. In this regard, the dehumidifier is playing a great role in the aspects of life and work of people. For example, the dehumidifier is used for controlling the environmental humidity, and can be used in underground garages, hospitals, museums, libraries and private residences of buildings, so that the environmental humidity is improved, precious materials are protected, and secondary hazards are reduced.

At present, a dehumidifier control system on the market is simple in composition and can only meet the basic dehumidifier control requirements. When the dehumidifier gives an alarm or fails, professional dehumidifier maintenance personnel are often required to judge and maintain the failure on site. Thus, a large maintenance cost, a waste of resources and a waste of time costs are usually caused only by one small failure.

SUMMERY OF THE UTILITY MODEL

In order to solve the technical problems or at least partially solve the technical problems, the present disclosure provides an online diagnosis system for a dehumidifier.

The utility model provides an online diagnosis system for a dehumidifier, which comprises a field data acquisition subsystem, a remote data processing subsystem and a state display subsystem, wherein the state display subsystem is arranged on the field;

the field data acquisition subsystem is used for acquiring the operation data of the dehumidifier and transmitting the operation data to the remote data processing subsystem;

the remote data processing subsystem is used for determining the running state of the dehumidifier based on the running data and transmitting the running state to the state display subsystem;

and the state display subsystem is used for displaying the running state and realizing troubleshooting and maintenance based on remote communication when the dehumidifier has a fault.

In some embodiments, the field data acquisition subsystem comprises a high definition acquisition device, a thermal imaging acquisition device and a near field data monitoring transmission module;

the high-definition acquisition device is used for acquiring internal operation data of the dehumidifier in real time;

the thermal imaging acquisition device is used for acquiring internal temperature field data of the dehumidifier in real time;

the near-field data monitoring and transmitting modules are dispersedly arranged at the positions of all the parts in the dehumidifier and used for acquiring the operation data of all the parts in real time.

In some embodiments, the near field data monitoring transmission module comprises a sensor module based on at least one near field communication technology of bluetooth, WiFi, Zeegbi, mesh and Lora.

In some embodiments, the remote data processing subsystem comprises a cloud server;

and the operating data is transmitted to the cloud server in a 4G or 5G communication mode.

In some embodiments, the cloud server is further configured to collect big data of a location of the dehumidifier, where the big data includes weather forecast information and operation data and operation states of other dehumidifiers of the same type in a preset time period; and the data processing module is used for judging whether the dehumidifier breaks down or not by combining the big data.

In some embodiments, the status display subsystem comprises a transparent display screen;

the transparent display screen covers the front panel of the whole mechanical component bin, and is used for displaying corresponding operation data or operation states at the positions of all components of the dehumidifier.

In some embodiments, the system further comprises a dehumidifier controller and a wireless service device;

the dehumidifier controller is used for receiving the operation data and uploading the operation data to the remote data processing subsystem; the system is used for receiving the running state and sending the running state to the state display subsystem;

the wireless maintenance equipment is used for acquiring and displaying the operation data and/or the operation state received by the dehumidifier controller; and the system is used for realizing the real-time communication between the field personnel and the remote personnel.

In some embodiments, the wireless service device comprises a handheld mobile terminal device and/or a head mounted display device.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

the dehumidifier online diagnosis system provided by the embodiment of the disclosure comprises a field data acquisition subsystem and a state display subsystem which are arranged on the field, and a remote data processing subsystem arranged at a maintenance end; the field data acquisition subsystem is used for acquiring the operation data of the dehumidifier; the remote data processing subsystem is used for determining the running state of the dehumidifier based on the running data; the state display subsystem is used for displaying the running state, and when the dehumidifier has a fault, fault troubleshooting and maintenance are realized based on remote communication, so that the remote online diagnosis system for the dehumidifier is provided, the problem of high field maintenance cost can be solved, the maintenance waiting time of a user can be reduced, and the maintenance cost and the time cost can be saved for a manufacturer and the user.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

Fig. 1 is a schematic structural diagram of an online diagnosis system of a dehumidifier according to an embodiment of the present disclosure;

FIG. 2 is a schematic structural diagram of another dehumidifier online diagnosis system according to an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of another dehumidifier online diagnosis system according to an embodiment of the present disclosure;

FIG. 4 is a schematic flow chart of an online diagnosis method for a dehumidifier according to an embodiment of the present disclosure;

fig. 5 is a schematic flow chart of a data monitoring transmission process in the dehumidifier online diagnosis method according to the embodiment of the disclosure;

FIG. 6 is a schematic flow chart illustrating a data determination process in the dehumidifier online diagnosis method according to the embodiment of the present disclosure;

FIG. 7 is a schematic flow chart of a temperature fault algorithm calculation process when the dehumidifier online diagnosis method of the embodiment of the present disclosure is applied to a rotary dehumidifier;

FIG. 8 is a schematic flow chart of a temperature fault algorithm calculation process when the dehumidifier online diagnosis method of the embodiment of the present disclosure is applied to a refrigeration dehumidifier;

fig. 9 is a schematic flow chart illustrating a data display process in the dehumidifier online diagnosis method according to the embodiment of the present disclosure;

fig. 10 is a schematic flow chart of a real-time diagnosis process in the online diagnosis method of the dehumidifier according to the embodiment of the disclosure.

Detailed Description

In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.

The embodiment of the disclosure provides a remote online diagnosis system and a remote online diagnosis method for a dehumidifier, which can realize monitoring and early warning of the dehumidifier and also can realize online guidance and maintenance of dehumidifier faults, so that the cost of fault diagnosis and maintenance of the dehumidifier can be reduced. Furthermore, through the dual redundancy design of video acquisition and sensor data acquisition, comprehensive operation data corresponding to the operation state of the dehumidifier can be provided, and the effectiveness of remote diagnosis and maintenance is improved, so that the requirements of a site on the maintenance specialty are effectively reduced, and the difficulty of maintenance operation is reduced. Furthermore, the handheld mobile device (namely, the handheld mobile terminal device) and the head-mounted device (namely, the head-mounted display device) can also realize real-time video interaction between a manufacturer and a user, and put in a fault maintenance point and a maintenance method of the dehumidifier in real time, so that the maintenance waiting time of the user is greatly reduced, and the maintenance cost and the time cost are saved for the manufacturer and the user at the same time.

The dehumidifier online diagnosis system and method provided by the embodiment of the disclosure are exemplarily described below with reference to fig. 1 to 10.

Fig. 1 is a schematic structural diagram of an online diagnosis system of a dehumidifier according to an embodiment of the present disclosure. Referring to fig. 1, the system may include a field data acquisition subsystem 11, a remote data processing subsystem 12, and a status display subsystem 13, the status display subsystem 13 being provided on-site; the field data acquisition subsystem 11 is used for acquiring the operation data of the dehumidifier and transmitting the operation data to the remote data processing subsystem 12; the remote data processing subsystem 12 is used for determining the running state of the dehumidifier based on the running data and transmitting the running state to the state display subsystem 13; the state display subsystem 13 is used for displaying the running state and realizing troubleshooting and maintenance based on remote communication when the dehumidifier has a fault.

The field data acquisition subsystem 11 and the state display subsystem 13 are both arranged on the field, namely on the dehumidifier device side, and are respectively used for acquiring the operation data of the dehumidifier in real time and displaying the operation state of the dehumidifier, and indicating fault information when the dehumidifier breaks down, so as to realize remote troubleshooting and maintenance. The remote data processing subsystem 12 is disposed at a maintenance end, for example, may be disposed at a reseller or a manufacturer side, and is configured to receive operation data of the dehumidifier collected on site, determine an operation state of the dehumidifier based on the operation data, and return the operation state to the site, thereby implementing remote monitoring and site early warning.

The dehumidifier online diagnosis system provided by the embodiment of the disclosure can realize remote monitoring of the dehumidifier and online guided maintenance of the dehumidifier fault based on the equipment side subsystem and the maintenance side subsystem, so that the cost of fault diagnosis and maintenance of the dehumidifier can be reduced.

In some embodiments, fig. 2 is a schematic structural diagram of another online diagnosis system of a dehumidifier according to the embodiment of the present disclosure. On the basis of fig. 1, with reference to fig. 2, the field data acquisition subsystem 11 includes a high-definition acquisition device 111, a thermal imaging acquisition device 112, and a near-field data monitoring transmission module 113; the high-definition acquisition device 111 is used for acquiring internal operation data of the dehumidifier in real time; the thermal imaging acquisition device 112 is used for acquiring internal temperature field data of the dehumidifier in real time; the near-field data monitoring and transmitting module 113 is dispersedly arranged at each component position in the dehumidifier and is used for collecting the operation data of each component in real time.

Wherein, high definition collection system 111 includes high definition digtal camera, and high definition digtal camera can select for the resolution ratio be HD 1080P, HD 960P or HD 720P's camera, and it can to satisfy each part and fault location discernment, does not restrict here.

Exemplarily, the high definition collecting device 111 further includes a three-axis pan-tilt, and the high definition camera is fixed to the three-axis pan-tilt and is driven by the three-axis pan-tilt to realize translation and rotation in three directions of XYZ, so as to realize multi-directional stable monitoring of the dehumidifier. For example, the internal operation data of the dehumidifier collected by the high-definition collection device 111 may be embodied as video data or picture data, and the data may be directly uploaded to the remote data processing subsystem 13, or may be uploaded to the remote data processing subsystem 13 after being summarized by the dehumidifier controller.

The thermal imaging acquisition device 112 comprises a thermal imaging camera and a three-axis holder fixed by the thermal imaging camera, so that the thermal imaging lens can also realize translation and rotation of three dimensions of XYZ, and the multi-direction stable monitoring of the dehumidifier is realized. Any object with temperature can emit infrared rays, the thermal imaging camera generates colored pictures to display the temperature distribution of the surface of the measured object by receiving the infrared rays emitted by the object, and abnormal points of the temperature are found out according to the small difference of the temperature, so that the temperature field detection is realized. For example, the internal temperature field data of the dehumidifier collected by the thermal imaging collection device 112 may be embodied as video data or picture data, and the data may be directly uploaded to the remote data processing subsystem 13, or may be uploaded to the remote data processing subsystem 13 after being summarized by the dehumidifier controller.

The near-field data monitoring and transmitting module 113 includes a plurality of sensors distributed on each component inside the dehumidifier, and can assist in judging dehumidifier component failure or dehumidifier controller failure by acquiring the operation data of each component in real time through the sensors.

Through comprehensive judgment of data of the high-definition acquisition device 111, the thermal imaging acquisition device 112 and the near-field data monitoring transmission module 113, detailed and detailed fault solutions can be provided for users more accurately. The problem of because the professional level problem of field usage customer, the maintenance degree of difficulty is great that results in to the inaccurate judgement of trouble problem is solved.

In some embodiments, the near field data monitoring transmission module 113 comprises a sensor module based on at least one near field communication technology of bluetooth, WiFi, Zeegbi, mesh, and Lora.

The near field data monitoring and transmitting module 113 comprises an integrated sensor and a near field communication module; the near field communication module can be a communication module based on near field communication technologies such as Lora, wifi, Zeegbi, mesh, Bluetooth and the like. Based on this, the near field data monitoring and transmitting module 113 is an information acquisition and near field communication module configured for each component, the information acquisition and near field communication module is designed as an integrated unit, and can acquire component information and simultaneously send the information to the main control board for information processing and judgment in a near field communication mode; the system comprises a main control board (namely a dehumidifier control board, or called a dehumidifier controller) and a distributed detection board, wherein each part is provided with a distributed detection board which comprises a sensor and a near field communication module corresponding to each part, and the distributed detection board transmits detected part operation data to the main control board (namely the dehumidifier control board) through the near field communication module to finish data acquisition and transmission; the main control board can collect the received operation data to complete the information processing and judgment.

In some embodiments, fig. 3 is a schematic structural diagram of another online dehumidifier diagnosis system according to the embodiments of the present disclosure. On the basis of fig. 1, with reference to fig. 3, the remote data processing subsystem 12 comprises a (remote) cloud server 120; the operation data is transmitted to the cloud server 120 through a 4G or 5G communication method.

The cloud server 120 receives the operation data through 4G, 5G or other optional remote communication modes, which is not limited in the embodiment of the present disclosure. The remote communication is realized, the running data can be uploaded in time, and the running state obtained after the processing is issued in time, so that the real-time monitoring and the fault early warning of the dehumidifier are realized, and the troubleshooting and the maintenance of the fault are realized.

In some embodiments, the cloud server 120 is further configured to collect big data of a location of the dehumidifier, where the big data includes weather forecast information and operation data and operation states of other dehumidifiers of the same type in a preset time period; and the data processing module is used for judging whether the dehumidifier breaks down or not by combining the big data.

The cloud server 120 may autonomously determine the operation state and the fault of the dehumidifier based on the collected data (i.e., the operation data) and the set device temperature parameter; furthermore, information synthesis can be carried out by combining local weather environment information of the dehumidifier and network data of the annual operation state of other devices of the same type, fluctuation judgment and self-adaptive control of the operation data are realized, and intelligent monitoring of the dehumidifier is further improved.

In some embodiments, with continued reference to fig. 2 and 3, status display subsystem 13 includes a transparent display screen 130, which may also include a non-transparent display screen; the transparent display screen 130 covers the front panel of the whole mechanical component bin, and the transparent display screen 130 is used for displaying corresponding operation data or operation states at the positions of the components of the dehumidifier.

Wherein, the transparent display screen 130 may be a transparent OLED fault monitoring indication display screen (i.e., a transparent OLED screen); therefore, the whole transparent OLED screen can cover a mechanical component bin (namely a component bin) of the dehumidifier and is used as a front panel of the component bin of the dehumidifier for displaying the running data and running state of the dehumidifier in real time; meanwhile, as the screen is a transparent OLED screen, the data and alarm of the components can be displayed on the corresponding components (namely the components), so that a user can more directly see the running state of each component, the components with faults can be conveniently and visually positioned when the components have faults, and maintenance measures can be taken.

In other embodiments, the transparent display 130 may also be one or more displays based on other materials; status display subsystem 13 may also include an opaque display screen, as embodiments of the present disclosure are not limited.

In some embodiments, with continued reference to fig. 3, the system further includes a dehumidifier controller 14 and a wireless service device 15; the dehumidifier controller 14 may integrate a communication module for receiving the operation data and uploading to the remote data processing subsystem 12; and is used for receiving the running state and sending it to the state display subsystem 13; the wireless maintenance equipment 15 is used for acquiring and displaying the operation data and/or the operation state received by the dehumidifier controller 14; and the system is used for realizing the real-time communication between the field personnel and the remote personnel.

Therefore, on-site detection and remote guidance and maintenance can be realized based on real-time communication between on-site personnel and remote personnel.

The mobile handheld device is used for collecting and displaying the operation data of each component in real time, and the mobile handheld device is communicated with the cloud server 130 to conduct video guidance and fault judgment and remotely guide a user to solve the fault which can be processed on site; therefore, remote fault judgment and diagnosis are realized through a high-speed communication mode based on the acquisition of the field operation data of the dehumidifier, and a user (namely field personnel) can be guided to complete fault treatment through video communication and interface marking modes for general faults. Or remote personnel can judge the fault in advance, so that the problems can be solved more pertinently on site.

The dehumidifier controller 14 may control the operation of the dehumidifier in a closed-loop manner based on the operation data and the operation state, so as to achieve accurate control of the humidity. Furthermore, the operation data and the fault information of the dehumidifier are reported to the cloud server after being collected and processed by the main control panel, and can be fed back to manufacturers and customers at the first time of fault occurrence, so that the problem of monitoring and early warning of the dehumidifier is solved, and the loss of the customers caused by the fault of the dehumidifier is prevented.

In some embodiments, the wireless service device 15 includes a handheld mobile terminal device 151 and/or a head mounted display device 152.

The wireless maintenance equipment 15 can be composed of a handheld mobile terminal 151 and a head-mounted display 152, can display the running state and running data of the dehumidifier in real time, correspondingly displays a faulty component, realizes remote guidance of on-site maintenance, and is visual and convenient.

In one embodiment, the communication module and the dehumidifier control board can be independently arranged. At this time, the dehumidifier may include a dehumidifier control panel, a wireless communication module (4G, 5G, WIFI) and a near field communication module (Lora, bluetooth, mesh, wifi); meanwhile, the status display subsystem 13 may include a display screen (transparent or non-transparent) and a near field communication module (Lora, bluetooth, mesh, wifi).

Based on this, the high-definition acquisition device 111 (including a high-definition video camera), the thermal imaging acquisition device 112 (including a thermal imaging camera) and the near-field data monitoring transmission module 113 (including a sensor) transmit the monitored operation data to the dehumidifier controller 14, and the dehumidifier controller 14 realizes interaction between the operation data and the operation state with the cloud server 120 through the wireless transmission module, including data calculation and result judgment and transmission; meanwhile, the dehumidifier controller 14 outputs the running state and running data of the dehumidifier to the state display subsystem through the near field communication module, and the running state and running data are displayed by the display screen; a wireless service device 15 may also be included, which interacts with the cloud server 12 and may send diagnostic information to the dehumidifier controller 14 and further to a display screen for display.

Optionally, the near-field data monitoring and transmitting module 113 may acquire the operation state and operation data of the components in real time, and transmit the operation state and operation data to the dehumidifier controller and the transparent OLED fault monitoring and indicating display screen; the remote transmission control monitoring module (i.e., the wireless transmission module) can transmit the comprehensive operation state, operation data and alarm information of the dehumidifier controller to the cloud server 120 for remote comprehensive judgment of dehumidifier faults, and receive the judgment information in real time to the transparent OLED fault monitoring indication display screen or the wireless maintenance equipment for display.

The implementation process of the dehumidifier online diagnosis system provided by the embodiment of the disclosure mainly comprises the following steps:

the high-definition acquisition device 111 and the thermal imaging acquisition device 112 acquire videos of the internal operation state of the dehumidifier in real time, and can provide visual judgment basis for manufacturers.

Each near-field data monitoring and transmitting module 113 acquires the operating state and the operating data of the component, transmits the operating state and the operating data to the dehumidifier controller 14 and the transparent OLED fault monitoring and indicating display screen of the front panel of the dehumidifier through a near-field communication technology, and monitors the operating state and the data of the display component in real time.

Monitoring data (namely operation data) acquired by the high-definition acquisition device 111, the thermal imaging acquisition device 112 and the near-field data monitoring and transmitting module 113 in real time is transmitted to the cloud server 120 through the dehumidifier controller 14, and the cloud server 120 can synthesize video and sensor information, comprehensively judge the operation state and operation data of the dehumidifier and provide more accurate fault judgment.

The determination method may optionally be based on information integration of operational data and local big data to achieve fluctuation determination and adaptive control, as described in detail below. The problems that in the prior art, due to the fact that the number of data monitoring points is small, the highest temperature position and the lowest temperature position of a core component cannot be accurately reflected, control accuracy is poor, and damage risks exist in a dehumidifier can be solved.

Cloud server 120 can put alarm information in real time on transparent OLED fault monitoring indication display screen through dehumidifier controller 14, and the position that alarm information corresponds the components and parts shows, can more audio-visually see the state and the trouble of components and parts.

Meanwhile, the cloud server 120 can put the alarm information, the operation state and the operation data on the wireless maintenance equipment 15 through the dehumidifier controller 14 in real time, and after-sale personnel of a manufacturer can perform video communication with field personnel in real time and put maintenance positions and maintenance methods in real time, so that users can conveniently perform troubleshooting and maintenance on the dehumidifier.

The dehumidifier online diagnosis system provided by the embodiment of the disclosure at least has the following beneficial effects: 1) the monitoring early warning and the on-line guiding maintenance of general faults of the dehumidifier can be realized; 2) through the dual redundancy design of video acquisition and sensor data acquisition, the comprehensive data is more accurate, the requirements of the field on the maintenance specialty can be effectively reduced, and the difficulty of maintenance operation is reduced; 3) the method adopts 4G or 5G data transmission, realizes real-time video interaction between a manufacturer and a user through wireless maintenance equipment, can further confirm a fault point by using a video acquisition part such as a camera on a mobile terminal of the user, and simultaneously puts interactive information such as fault information, a maintenance method and the like on the mobile terminal of the user in real time, namely puts the fault maintenance point and the maintenance method of the dehumidifier in real time, greatly reduces the time of user maintenance waiting, and saves the maintenance cost and the time cost for the manufacturer and the user; 4) the transparent OLED fault monitoring indication display screen can correspondingly display the running state and running data of the components in real time; 5) the internal components adopt the near field communication technology to acquire data, so that internal wiring of the dehumidifier is reduced, and the system structure is simplified.

On the basis of the above embodiments, the embodiment of the present disclosure further provides an online diagnosis method for a dehumidifier, which can be implemented by any one of the systems in the above embodiments, so that corresponding beneficial effects can be achieved, and the same portions can be understood with reference to the above description, which is not described herein again.

Exemplarily, fig. 4 is a schematic flow chart of an online diagnosis method for a dehumidifier according to an embodiment of the present disclosure. Referring to fig. 4, the method may include:

s201, collecting operation data of the dehumidifier.

The field data acquisition subsystem can acquire the operation data of the dehumidifier on the field and upload the operation data to the remote data processing subsystem.

S202, determining the operation state of the dehumidifier based on the operation data.

The remote data processing subsystem can determine the running state of the dehumidifier based on the running data and transmit the running state back to the on-site state display subsystem.

And S230, displaying the running state, and when the dehumidifier has a fault, realizing troubleshooting and maintenance based on remote communication.

Wherein, the state display subsystem can display the running state of the dehumidifier; and when a fault occurs, troubleshooting and maintenance are realized based on remote communication.

Therefore, remote guidance can be realized without the need of maintainers on site, thereby being beneficial to reducing monitoring and maintenance cost.

In some embodiments, on the basis of fig. 4, before S202, the method may further include:

collecting big data of the location of the dehumidifier; the big data comprises weather forecast information and operation data and operation states of other dehumidifiers of the same type in a preset time period.

Based on this, S202 may specifically include:

and judging whether the dehumidifier breaks down or not by combining the operation data and the big data.

Therefore, the running state and the fault of the dehumidifier can be automatically judged based on the collected data (namely the running data) and the set equipment temperature parameters; furthermore, information synthesis can be carried out by combining local weather environment information of the dehumidifier and network data of the annual operation state of other devices of the same type, fluctuation judgment and self-adaptive control of the operation data are realized, and intelligent monitoring of the dehumidifier is further improved.

In some embodiments, fig. 5 is a schematic flow chart illustrating a data monitoring transmission process in the dehumidifier online diagnosis method according to the embodiment of the present disclosure. Referring to fig. 5, the process may include:

s211, monitoring temperature data of internal core components of the dehumidifier by the thermal imaging camera, and generating picture data or video data.

The inner core part of the rotary dehumidifier is a dehumidification rotary wheel, and the inner core part of the refrigeration dehumidifier is a compressor and an evaporator.

For a rotary dehumidifier, this step may include monitoring the temperature distribution of the heated surface of the desiccant rotor with a thermal imaging camera and determining the maximum temperature.

For a freeze dehumidifier, this step may include monitoring the compressor temperature, the evaporator temperature across the panel using a thermal imaging lens, and determining the maximum and minimum temperatures.

S212, the sensor in the near-field data monitoring transmission module carries out traditional temperature detection on the dehumidifier to generate traditional temperature monitoring data.

The step can include that sensors distributed on all parts monitor the temperature of all parts of the dehumidifier to generate monitoring data, namely traditional communication data.

And S213, transmitting the monitored data to a dehumidifier control panel in real time for data caching.

The dehumidifier control panel is used as a transfer medium for uploading and issuing data.

And S214, the dehumidifier control board sends the cache data to a server (cloud server) through remote communication technologies such as 4G and 5G, WIFI, and data are collected and calculated.

The cloud server can receive data based on a wireless communication technology, perform subsequent data processing, and determine the operation state and the fault information of the dehumidifier.

S215, the server receives the data and judges the data; returning the judgment information to the dehumidifier control panel for displaying or alarming; when the dehumidifier control panel receives the alarm information, the dehumidifier is stopped to operate, and the safety of the dehumidifier equipment and field personnel is protected.

The cloud server transmits the running state and the fault information of the dehumidifier back to the site based on the data processing result, and realizes monitoring alarm and remote guidance of site maintenance of the dehumidifier.

In some embodiments, fig. 6 is a schematic flow chart illustrating a data determination process in an online diagnosis method of a dehumidifier according to an embodiment of the present disclosure. Referring to fig. 6, the process may include:

s221, receiving picture data or video data and receiving sensor monitoring data.

The cloud server receives field acquisition data, including pictures or video data acquired by the high-definition acquisition device, pictures or video data acquired by the thermal imaging acquisition device, and operation data monitored by a sensor in the near-field data monitoring transmission module.

S222, collecting a local weather forecast (information is updated within one hour) of the dehumidifier.

Wherein the cloud server receives the weather forecast to construct network data (i.e., big data).

And S223, collecting the annual running temperature monitoring average value, the lowest temperature, the highest temperature, the alarm temperature and the alarm frequency of other local dehumidifiers of the same type.

The cloud server receives the related data of other similar dehumidifiers to form network data (namely big data).

And S224, collecting the collected big data (including weather forecast and other relevant data of the dehumidifier) and the relevant monitoring data of the current dehumidifier, and collecting the big data as the basis for calculating and judging the monitoring data.

The data of the three steps are collected, and the big data is used as a basis for determining the current running state and fault information of the dehumidifier by using the monitoring data, so that the autonomous diagnosis can be realized, and the professional requirement on maintenance personnel can be reduced.

S225, preferentially calculating picture data or video data, calculating the temperature rise or decrease rate of the temperature, and the difference value between the highest point temperature and the lowest point temperature and the corresponding temperature of the big data, and judging whether the dehumidifier breaks down or not through an algorithm formula; when the error is calculated by using the formula, determining the fault of the acquisition equipment of the picture data or the video data; and the data of the sensor is introduced for calculation, so that the normal operation of the dehumidifier is ensured, and meanwhile, the self-diagnosis function of the monitoring equipment is realized.

The image data or the video data is preferentially calculated, namely the image data or the video data subjected to thermal imaging is compared with the big data, and the temperature rising or cooling rate of the temperature, the highest point temperature and the difference value between the lowest point temperature and the basic big data are calculated. The temperature rising or reducing rate is obtained by monitoring the running state of other local equipment in one year and taking the average of the temperature rising and reducing rates of all local equipment in a quarter according to the weather change curve of the whole year, and calculating according to the quarterly statistics and optionally taking the ambient temperature as a corrected value of the rate.

The corresponding big data, namely the basic big data of the temperature is a temperature change curve and a humidity change curve of each year obtained by comprehensively and dynamically calculating the outdoor and indoor annual temperature and humidity collected by a local weather forecast and a put-in dehumidifier.

The temperature rise or speed of the temperature is obtained by a temperature rise and temperature fall curve, and is calculated and determined by the temperature rise and temperature fall numerical value of the temperature in the continuous pictures in unit time under the running state of the dehumidifier. The maximum temperature and the minimum temperature are selected in real time in the video or in a plurality of pictures in succession within a unit time (for example, 5 seconds).

The specific implementation manner of judging the error of the applied formula calculation may be as follows: the formula calculation is provided with an upper limit value and a lower limit value, the calculated temperature rising or cooling rate, the calculated maximum point temperature and the calculated minimum point temperature are required to fall within a normal result range (namely a range limited by the upper limit value and the lower limit value), and if the calculated numerical value exceeds the normal range, the data overflow is judged, and the dehumidifier breaks down.

The specific implementation mode for judging whether the dehumidifier breaks down by using the sensor data and the comparison with the prior art are as follows: in the prior art, a sensor is used for detecting the single-point temperature, the highest temperature and the lowest temperature are used for judging whether a fault occurs, and the accuracy is low. In the embodiment of the disclosure, the collection of video data and picture data is introduced, so that point detection can be expanded into surface detection, the detection accuracy is improved, the dehumidification efficiency of the dehumidifier is improved, the dehumidifier reaches the optimal working efficiency point, and the energy waste is reduced. Meanwhile, in combination with the above, due to the fact that the transmission rate of the 5G network is improved, video data or picture data can be rapidly transmitted to the cloud server, and more accurate control parameters are fed back by combining network weather data (namely weather forecast) and real-time and historical data collected by other local dehumidifiers, namely the control parameters are transmitted back to the site, and accurate control of the dehumidifier is achieved.

And S226, sending the diagnosis information to a dehumidifier control panel for displaying or alarming, and updating the large data information base.

The big data are updated, so that the more accurate incidence relation between the operation data and the operation state of the dehumidifier at the location can be obtained, and the self-diagnosis accuracy is improved conveniently.

In some embodiments, fig. 7 is a schematic flow chart of a temperature fault algorithm calculation process when the dehumidifier online diagnosis method according to the embodiment of the present disclosure is applied to a rotary dehumidifier. Referring to fig. 7, the process may include:

s231, acquiring the outdoor temperature of the dehumidifier in one hour on the basis of the big data, and integrating the indoor dew point temperature of the dehumidifier in the local area.

The dew point temperature refers to the temperature of water vapor released by air, and is the temperature when the air is cooled to saturation under the condition that the water vapor content and the air pressure are not changed, namely the temperature when the relative humidity of the air reaches 100%. If the air reaching the dew point is cooled further, the water vapor in the air begins to condense into water drops, which is called a condensation phenomenon.

In the step, the outdoor temperature of the local dehumidifier within one hour can be extracted from the big data, the indoor temperature and humidity collected by other local dehumidifiers are integrated, and the average value of the dew point temperature is calculated, so that the dew point temperature is obtained.

S232, judging whether the temperature rising rate of the rotating wheel dehumidifier is matched with the temperature rising capacity of the heater, and if the temperature rising rate of the rotating wheel dehumidifier is beyond the reference value range, judging that the heating fault occurs.

The temperature rise rate is the basis of judgment, the normal temperature rise rate is achieved firstly, and the temperature rise function of the dehumidifier is judged to be normal; and then monitoring the highest temperature, and if the highest temperature does not exceed the alarm set temperature, proving that the temperature of the dehumidifier is normal in operation. That is, the temperature-increasing capability, i.e., the temperature-increasing function, is normal, which is determined by calculating the temperature-increasing rate and within the normal data range (i.e., the reference value range), and if the temperature-increasing rate and the temperature-increasing capability are out of the above range, it is determined that a malfunction has occurred because the temperature-increasing rate and the temperature-increasing capability do not match.

S233, if the highest temperature of the heating surface of the rotary wheel of the dehumidifier is lower than the set value, the heater is judged to be in fault; and if the highest temperature of the heating surface of the rotating wheel of the dehumidifier is higher than a set value, judging that the control panel of the dehumidifier is in fault.

When a fault occurs, the fault of the heater or the fault of the control panel of the dehumidifier is determined based on the comparison of the highest temperature and a set value, so that the fault occurring part can be positioned.

When the rotary dehumidifier is used for dehumidification, moisture in the humid air is adsorbed by the dehumidification rotary wheel in the treatment area, and the heated air in the regeneration area is blown out of the room. The key part of the dehumidification effect is the regeneration zone temperature control of the dehumidification rotating wheel.

In the prior art, a sensor is used for detecting the temperature of an outlet of a regeneration area, the sensor generally adopts a contact sensor, and the condition of inaccurate temperature detection and over-temperature damage of a dehumidification rotating wheel can be caused due to the size of outlet airflow and flow field change. In the embodiment of the disclosure, a thermal imaging technology, namely infrared thermal imaging, is used, so that the temperature of the heating surface can be directly detected, and the accuracy and the dehumidification efficiency can be improved.

In some embodiments, fig. 8 is a schematic flow chart of a temperature fault algorithm calculation process when the dehumidifier online diagnosis method according to the embodiment of the present disclosure is applied to a refrigeration dehumidifier. Referring to fig. 8, the process may include:

s241, acquiring the outdoor temperature of the dehumidifier in one hour in the local area based on the big data, and integrating the indoor dew point temperature of the local area.

This step can be understood with reference to S231 in fig. 7, and is not described herein.

S242, determining the lowest temperature of the evaporator based on the refrigerating area and the temperature change trend in the monitoring data; if the lowest temperature is lower than the defrosting set temperature, the dehumidifier does not defrost, and the dehumidifier control plate is judged to be in fault.

The calculation method for determining the lowest temperature may be: and comprehensively calculating according to the refrigeration area and the lowest temperature, namely judging that the lowest temperature is the lowest temperature of the current evaporator when the lowest temperature reaches a defrosting temperature set value and the refrigeration area reaches a dehumidification efficiency inflection point (set according to a dehumidification capacity curve and an air volume curve and parameters confirmed in a machine type structure design stage).

Specifically, the thermal imaging device acquires the temperature value of the whole surface of the evaporator of the dehumidifier, continuously monitors the temperature values, continuously selects low-temperature points from a plurality of pictures within unit time (for example, 5 seconds), calculates whether the temperature points reach an evaporator efficiency inflection point according to the area of the evaporator, namely, whether the dehumidification capacity of the dehumidifier is reduced or the dehumidification capacity is not available, and the low-temperature point is the lowest temperature; and starting defrosting operation when the set value is reached according to the defrosting temperature set value.

The determining whether the dehumidifier is defrosted may include determining that the minimum temperature of the evaporator reaches a defrosting setting value, where the defrosting setting value is a setting parameter of the dehumidifier.

On the basis, if the lowest temperature reaches and is lower than the defrosting set temperature but is not defrosted, the control board of the dehumidifier is determined to be in fault.

And S243, judging based on the temperature of the compressor in the monitoring data, and if the temperature of the compressor is increased rapidly, judging that the compressor is in a fault state.

And if the temperature rise rate or the surface temperature of the compressor exceeds a normal range, judging that the compressor is in fault.

In other embodiments, S243 may also be executed before S242, or both may be executed in parallel, that is, the determinations of S242 and S243 have no order, which is two independent determinations, and the execution order is not limited in the embodiments of the present disclosure.

When a refrigeration dehumidifier is used for dehumidification, moisture in the humid air is condensed in the evaporator and is formed into water to be discharged out of equipment or flows into a water tank; the air is heated by a condenser and sent to the room for drying at a proper temperature. Wherein the evaporator and condenser are named for the refrigerant state in the copper tube; the key components associated with the dehumidification effect are the compressor, the fan and the evaporator.

In the prior art, a sensor is used for detecting the temperature of the surface of an evaporator, the sensor generally adopts a contact sensor, only one point on the evaporator can be acquired, the temperature acquisition is not the optimal point and the position with the best efficiency, and the detection effect is poor. In the embodiment of the disclosure, the thermal imaging acquisition device is used, infrared thermal imaging is applied, the temperature of the evaporator is directly detected, the accuracy is improved, and the dehumidification efficiency is improved by calculating the frost freezing area and the minimum temperature.

In some embodiments, fig. 9 is a schematic flow chart illustrating a data display process in the online diagnosis method of a dehumidifier according to the embodiment of the present disclosure. Referring to fig. 9, the process may include:

and S251, the dehumidifier control board receives and summarizes the data sent by the server, the operation data acquired by the sensors of all the parts and the operation data acquired by the high-definition acquisition device and the thermal imaging acquisition device.

And S252, the collected data of the dehumidifier control panel is sent to a display panel (display screen) in front of the device through near field communication technologies such as Lora, Bluetooth, mesh, WIFI and the like.

S253, when the panel is a non-transparent display screen, setting visual equipment pictures, displaying relevant information of the running state of the corresponding component, and displaying alarm information when a fault occurs; when the panel is the transparent display screen, information or alarm information is directly operated when the corresponding position of the component appears.

The panel can be a common display screen (namely a non-transparent display screen), an OLED transparent display screen and other display screens, and can be used for displaying the running state and the alarm information of the component during running.

For example, the real-time highest temperature point and the real-time lowest temperature point of the heating surface and the cooling surface of the dehumidification rotating wheel and the evaporator can be displayed, and the average temperature of the whole surface can be displayed at the same time; or the temperature field distribution can be realized.

In some embodiments, fig. 10 is a schematic flow chart of a real-time diagnosis process in an online diagnosis method of a dehumidifier according to an embodiment of the present disclosure. Referring to fig. 10, the process may include:

and S261, the handheld mobile terminal device or the head-mounted display device accesses a server (cloud server) through communication modes such as 4G, 5G or WIFI.

And S262, displaying the running information or alarm information of the dehumidifier equipment through the server side, wherein an operation interface can be used for initiating an after-sales technical guide by a field user, and sending the running video data of the dehumidifier to the server through a handheld mobile terminal device or a video acquisition device of the head-mounted display equipment.

And S263, the server generates a corresponding 3D model in real time based on the received real-time video data, displays corresponding operation data and alarm information at the position of each part, and distributes the operation data and the alarm information to field users and after-sales personnel.

And S264, the server side provides video call and conference functions, and initiates a manufacturer engineer to participate in the video conference aiming at difficult problems.

Therefore, real-time video interaction between a manufacturer and a user can be realized by utilizing the handheld mobile equipment (namely the handheld mobile terminal equipment) and the head-mounted equipment (namely the head-mounted display equipment), the fault repair point and the repair method of the dehumidifier are released in real time, the time for waiting for repair of the user is greatly reduced, and the repair cost and the time cost are saved for the manufacturer and the user at the same time.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The dehumidifier online diagnosis system is characterized by comprising a field data acquisition subsystem, a remote data processing subsystem and a state display subsystem, wherein the state display subsystem is arranged on the field;

2. The system of claim 1, wherein the field data acquisition subsystem comprises a high definition acquisition device, a thermal imaging acquisition device, and a near field data monitoring transmission module;

3. The system of claim 2, wherein the near field data monitoring transmission module comprises a sensor module based on at least one near field communication technology of bluetooth, WiFi, Zeegbi, mesh and Lora.

4. The system of claim 1, wherein the remote data processing subsystem comprises a cloud server;

5. The system of claim 4, wherein the cloud server is further configured to collect big data of a location where the dehumidifier is located, where the big data includes weather forecast information and operation data and operation states of other dehumidifiers of the same type within a preset time period; and the data processing module is used for judging whether the dehumidifier breaks down or not by combining the big data.

6. The system of claim 2, wherein the status display subsystem comprises a transparent display screen;

7. The system of claim 1, further comprising a dehumidifier controller and a wireless service device;

8. The system of claim 7, wherein the wireless service device comprises a handheld mobile terminal device and/or a head mounted display device.