Environmental equipment inspection method, device, and system

Abstract

The present invention provides an environmental equipment inspection method, device, and system. In order to collect data pertaining to environmental equipment using mobile inspection equipment, generate change information pertaining to an equipment site on the basis of said data, and identify health status parameters pertaining to the environmental equipment on the basis of the change information pertaining to the equipment site, equipment operation data, and initial operation time, a user can ascertain the health status of the environmental equipment in a timely manner, thereby proactively making determinations regarding maintenance, upkeep, replacement, and the like. The value of environmental equipment is fully utilized, user experience is improved, and, because change information generated from data collected on site and information such as equipment operating data and operating hours are combined when identifying the health status parameters of the environmental equipment, various factors that affect the health status of the equipment are comprehensively taken into account and the accuracy of estimation results is improved, thereby making it possible to provide the user with accurate information pertaining to the health of the equipment.

Description

Environmental equipment inspection method, device, and system

[0001] The present invention relates to the field of equipment inspection, and more particularly to a method, apparatus and system for inspecting environmental equipment.

[0002] 2. Description of the Related Art With the rapid development of socio-economics and the rapid promotion of urbanization and industrialization, environmental equipment such as air conditioners are widely used.

[0003] As the service life of environmental equipment increases, it gradually deteriorates over time. Currently, users generally request an inspection only when the environmental equipment breaks down or is being used poorly, and a maintenance technician visits the user's home to inspect the equipment.

[0004] Furthermore, maintenance personnel may periodically visit your home to perform inspection services. During inspections, the maintenance personnel will collect operating data on the environmental equipment, inspect the operating status of the environmental equipment, and estimate the degree of deterioration over time based on the operating data of the environmental equipment, thereby reducing to some extent the probability of early failure of the environmental equipment.

[0005] It should be noted that the above description of the technical background is only provided to make the technical solutions of the present invention clear, easy to explain completely, and easy to understand for those skilled in the art, and these solutions are only described in the background of the present invention, and are not considered to be known to those skilled in the art.

[0006] However, with the above-mentioned conventional methods, when a user reports that an environmental device has broken down or is being used poorly, there is a possibility that irreversible damage has occurred to the environmental device. However, with conventional inspection methods, maintenance personnel generally determine the operating condition and degree of deterioration of the environmental device from operating data. This method relies on the experience of the maintenance personnel, and since only the operating data is taken into account when estimating the degree of deterioration of the environmental device, the estimation results are inaccurate.

[0007] In fact, for environmental equipment, especially for outdoor-mounted environmental equipment, environmental factors at the site where the equipment is located also have a significant impact on the aging of the equipment, such as the runoff of rainwater, the condition of roof drains, whether the drains are blocked or not, the impact on the ventilation of the environmental equipment due to the layout of surrounding equipment, the installation location of solar panels or other equipment that may cause rust, dirt, or obstruct the environmental equipment, etc. However, conventional methods do not take into account the dynamic factors at the site where these equipment are located.

[0008] Furthermore, with the above-mentioned conventional methods, users cannot timely grasp information such as the degree of deterioration of environmental equipment, and therefore cannot take measures in advance. That is, users do not request maintenance, repair, or replacement of the equipment until the equipment cannot be used normally, which reduces the value of the equipment and results in waste, affecting the user experience.

[0009] In order to solve at least one of the above problems, embodiments of the present invention provide an environmental equipment inspection method, apparatus, and system, which can provide an accurate estimation result of the health state of the environmental equipment, allowing a user to know the health state of the environmental equipment in a timely manner.

[0010] According to a first aspect of an embodiment of the present invention, there is provided a method for inspecting environmental equipment, including collecting data of a site where environmental equipment is located using a mobile inspection device, generating change information of the site where the environmental equipment is located based on the data collected by the mobile inspection device, obtaining operating data of the environmental equipment and initial operating time information of the environmental equipment, and identifying health status parameters of the environmental equipment based on the change information of the site where the environmental equipment is located, the operating data of the environmental equipment, and the initial operating time information of the environmental equipment.

[0011] According to a second aspect of an embodiment of the present invention, there is provided an inspection system for environmental equipment, which includes an environmental equipment to be inspected, a mobile inspection device, and a cloud-side server, wherein the mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data on the site where the environmental equipment is located, and transmits the data to the server, the server receives the data transmitted from the mobile inspection device, and generates change information on the site where the environmental equipment is located based on the data, and the server acquires operating data of the environmental equipment and initial operating time information of the environmental equipment from the environmental equipment or the cloud side, and further identifies health status parameters of the environmental equipment based on the change information on the site where the environmental equipment is located, the operating data of the environmental equipment, and the initial operating time information of the environmental equipment.

[0012] According to a third aspect of the present invention, there is provided a mobile inspection device including: a drive module that supplies a driving force to move the mobile inspection device; a wireless communication module that performs wireless communication with at least one of a control device, an environmental device, and a cloud-side server of the mobile inspection device; a detection module that includes at least one of an imaging module, an infrared imaging module, a vibration sensor, a directional sound sensor, a radar, and a wind volume sensor; and a GPS module that identifies the location of the mobile inspection device.

[0013] One beneficial effect of an embodiment of the present invention is that environmental equipment data is collected using a mobile inspection device, and on-site equipment change information is generated based on the data. Health parameters of the environmental equipment are identified based on the on-site equipment change information, equipment operation data, and the initial operating time. This allows users to timely grasp the health status of the environmental equipment, allowing them to make decisions regarding maintenance, servicing, and replacement in advance, fully utilizing the value of the environmental equipment, and improving the user experience. Furthermore, when identifying the health parameters of the environmental equipment, the change information generated from the data collected on-site is combined with information such as the equipment operation data and operating time. This comprehensively takes into account various factors affecting the health status of the equipment, improving the accuracy of the estimation results and thereby providing users with accurate equipment health information.

[0014] Feature information described and shown in one embodiment may be used in the same or similar manner in one or more other embodiments, combined with feature information in the other embodiments, or substituted for feature information in the other embodiments.

[0015] It must be emphasized that the term "comprises" when used in the present text refers to the presence of a feature, an entire element, a step or an element, but does not exclude the presence / addition of one or more other features, entire elements, steps or elements.

[0016] Many aspects of the present invention can be better understood with reference to the following drawings. Elements in the drawings are not drawn to scale, but are merely for the purpose of illustrating the principles of the invention. Corresponding parts in the drawings may be enlarged or reduced in size to facilitate showing and explaining parts of the invention. Elements and feature information shown in one drawing or one embodiment of the invention may be combined with elements and feature information shown in one or more other drawings or embodiments. Also, in the drawings, like reference numerals may be used to show corresponding parts in several drawings and to indicate corresponding parts used in one or more embodiments. The drawings are as follows:

[0017] FIG. 1 is a schematic diagram showing a method for inspecting environmental equipment according to a first embodiment of the present invention. FIG. 2 is a schematic diagram showing a scene of the method for inspecting environmental equipment according to a first embodiment of the present invention. FIG. 3 is a schematic diagram showing a method for a mobile inspection device to collect field data according to a first embodiment of the present invention. FIG. 4 is a schematic diagram showing a method for implementing step 301 according to a first embodiment of the present invention. FIG. 5 is a schematic diagram showing another method for implementing step 301 according to a first embodiment of the present invention. FIG. 6 is a schematic diagram showing a method for generating ventilation conditions according to a first embodiment of the present invention. FIG. 7 is a schematic diagram showing a method for generating cleanliness levels according to a first embodiment of the present invention. FIG. 8 is a schematic diagram showing a method for generating shielding information according to a first embodiment of the present invention. FIG. 9 is a schematic diagram showing a method for generating a drainage status according to a first embodiment of the present invention. FIG. 10 is a schematic diagram showing a method for generating an exhaust volume according to a first embodiment of the present invention. FIG. 11 is a schematic diagram showing a method for generating an installation status according to a first embodiment of the present invention. FIG. 12 is a schematic diagram showing a method for generating a fire risk according to a first embodiment of the present invention. FIG. 13 is a schematic diagram showing a method for generating a refrigerant leakage risk according to a first embodiment of the present invention. FIG. 14 is a schematic diagram showing a method for implementing step 103 according to a first embodiment of the present invention. FIG. 15 is a schematic diagram showing the use of a ninth model according to a first embodiment of the present invention. FIG. 16 is a schematic diagram showing the network structure of the ninth model according to a first embodiment of the present invention. It is a schematic diagram showing the relationship between the equipment replacement value and the degree of aging deterioration according to Example 1 of the present invention. It is a schematic diagram showing an inspection system for environmental equipment according to Example 2 of the present invention. It is a schematic diagram showing a mobile inspection device according to Example 3 of the present invention.

[0018] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings.

[0019] Example 1 Example 1 of the present invention provides a method for inspecting environmental equipment. Figure 1 is a schematic diagram showing the method for inspecting environmental equipment according to Example 1 of the present invention. As shown in Figure 1, the method includes: step 101 of collecting data of a site where the environmental equipment is located using a mobile inspection device; step 102 of generating change information of the site where the environmental equipment is located based on the data collected by the mobile inspection device; step 103 of acquiring operation data of the environmental equipment and information on the first operation time of the environmental equipment; and step 104 of identifying health parameters of the environmental equipment based on the change information of the site where the environmental equipment is located, the operation data of the environmental equipment, and the information on the first operation time of the environmental equipment.

[0020] In this way, environmental equipment data is collected using a mobile inspection device, and on-site equipment change information is generated based on the data. Health parameters of the environmental equipment are identified based on the on-site equipment change information, the equipment operation data, and the initial operation time. This allows users to timely grasp the health status of the environmental equipment, allowing them to make decisions on maintenance, servicing, and replacement in advance, fully utilizing the value of the environmental equipment, and improving the user experience. Furthermore, when identifying the health parameters of the environmental equipment, the change information generated from the data collected on-site is combined with information such as the equipment operation data and operation time, comprehensively taking into account various factors that affect the health status of the equipment, improving the accuracy of the estimation results and thereby providing accurate equipment health information to the user.

[0021] In some embodiments, the environmental equipment includes various types of environmental equipment installed outdoors, for example, the environmental equipment includes at least one of an air conditioner outdoor unit, a fresh air system outdoor unit, and a solar energy equipment, and in the embodiments of the present application, an air conditioner outdoor unit installed outdoors will be described as an example.

[0022] In some embodiments, the outdoor mounted environmental equipment may be mounted on the roof of a building, or may be mounted on an equipment bracket on the exterior of the building, such as an air conditioner bracket, or may be mounted in some other fixed location.

[0023] However, the method according to the embodiment of the present application can also be applied to environmental equipment installed indoors, such as an indoor unit of an air conditioner, an indoor unit of a fresh air system, a humidifier, an air purifier, and the like.

[0024] In some embodiments, the environmental device to be detected is also referred to as a target environmental device.

[0025] In some embodiments, inspection refers to periodically inspecting the equipment and / or inspecting certain set items of the equipment, or in some embodiments inspection may be understood as regular inspection or detection.

[0026] In step 101, a mobile inspection device is used to collect data from a site where environmental equipment is located.

[0027] In some examples, the mobile inspection equipment may be a variety of mobile inspection equipment, for example, the mobile inspection equipment may be a drone or an airship, or the mobile inspection equipment may be other freely movable equipment.

[0028] 2 is a schematic diagram illustrating a scene of an inspection method for environmental equipment according to Example 1 of the present application. As shown in Fig. 2, for example, an air conditioner outdoor unit 10 as an environmental equipment is installed on the roof of a building A, and air conditioner outdoor units 11 and 12 are installed on the roofs of nearby buildings B and C, respectively. A drone 20 as a mobile inspection device collects on-site data for at least one of the air conditioner outdoor units 10, 11, and 12.

[0029] Further, as shown in FIG. 2 , the drone 20 can be controlled by the control terminal 30, for example, remotely controlled by the control terminal 30, and / or moved based on a target position or a target route set by the control terminal 30.

[0030] Furthermore, as shown in Figure 2, the cloud-side server 40 can communicate wirelessly with the drone 20, and / or the cloud-side server 40 can communicate wirelessly with at least one of the air conditioner outdoor units 10, 11, and 12.

[0031] In some embodiments, the mobile inspection device first moves near or stops at a target environmental device, which is the environmental device to be detected, and then collects field data.

[0032] 3 is a schematic diagram illustrating a method for a mobile inspection device to collect on-site data according to Example 1 of the present application. As shown in FIG. 3, the method includes step 301 in which the mobile inspection device moves near and / or stops at an environmental device, and step 302 in which the mobile inspection device collects data of the site where the environmental device is located.

[0033] In some embodiments, when the environmental equipment can connect to a network, the mobile inspection device can obtain information on whether the environmental equipment is operating via a cloud-based server. When the environmental equipment cannot connect to a network, the mobile inspection device can fly around the environmental equipment and detect the difference between the temperature of the exhaust port of the environmental equipment and the temperature of other parts. If the temperature of the exhaust port is higher or lower than a certain threshold value of the temperature of other parts, the environmental equipment is operating.

[0034] In some embodiments, a mobile inspection device moves around the environmental device to collect data at different angles and orientations to ensure data integrity, for example, to ensure image data integrity.

[0035] In some embodiments, as shown in Figure 3, the method further includes wirelessly charging the mobile inspection device by the environmental device 303. For example, the environmental device and the mobile inspection device are each provided with a wireless charging device.

[0036] For example, an air conditioner outdoor unit is provided with a two-dimensional code, and the mobile inspection device is charged by scanning the two-dimensional code.

[0037] In this way, wireless charging of the mobile inspection device by the environmental device improves work efficiency while ensuring continuous operation of the mobile inspection device.

[0038] In some embodiments, the mobile inspection device identifies the location of the environmental device to be detected based on location information of the environmental device or user address information of the user using the environmental device, and moves close to the location.

[0039] If the location information or user address information of the environmental equipment acquired by the mobile inspection device is relatively accurate, for example, if the environmental equipment has a GPS positioning function, the precise location information can be uploaded to a cloud server, in which case the mobile inspection device can obtain the precise location of the environmental equipment and directly move near the environmental equipment and / or stop at the environmental equipment to collect data.

[0040] For example, as shown in Figure 2, the drone 20 can obtain the exact location of the air conditioner outdoor unit 10 from the server 40 on the cloud side, move close to the air conditioner outdoor unit 10 based on the exact location, and then stop at the air conditioner outdoor unit 10.

[0041] If the location information or user address information of an environmental device acquired by a mobile inspection device is not very accurate, for example, if the environmental device does not have a GPS positioning function, the precise location information cannot be obtained. If the environmental device can connect to a network, the mobile inspection device acquires the user's address information via a cloud-side server. If the environmental device cannot connect to a network, the mobile inspection device acquires the address information registered by the user via a database. In the above case, the mobile inspection device searches within a certain range based on the location information or user address information, and if it finds the target environmental device, it can use the positioning function of the mobile inspection device to upload the precise location information of the environmental device to a cloud-side server for storage and update.

[0042] For example, as shown in Figure 2, the air conditioner outdoor unit 11 is not connected to the network, and the drone 20 cannot obtain the exact location of the air conditioner outdoor unit 11 from the cloud-side server 40. In this case, the drone 20 obtains the user address from the database, searches near building A, and, if it finds the air conditioner outdoor unit 11, moves near the air conditioner outdoor unit 11 and then stops at the air conditioner outdoor unit 11. The drone 20 may also upload the exact location of the air conditioner outdoor unit 11 to the cloud-side server 40 for use in the next inspection.

[0043] Furthermore, if the location information or address information of the environmental equipment cannot be obtained, a building information model (BIM) of the location of the environmental equipment can be obtained, the location of the environmental equipment can be found from the BIM model, and then the location can be traveled to and confirmed.

[0044] In this way, regardless of the different conditions of the environmental equipment, the mobile inspection equipment can smoothly reach the location of the target environmental equipment and perform the work, thereby improving the reliability and versatility of the method.

[0045] 4 is a schematic diagram illustrating a method for implementing step 301 according to the first embodiment of the present invention. As shown in FIG. 4, the method includes step 401 in which a mobile inspection device acquires location information of the environmental device and / or address information of a user from a cloud side or a database, and step 402 in which the mobile inspection device moves near the environmental device and / or stops at the environmental device based on the location information and / or the address information.

[0046] 5 is a schematic diagram illustrating another method for implementing step 301 according to the first embodiment of the present invention. As shown in FIG. 5, the method includes step 501 in which the mobile inspection device searches within a certain area based on the location information and / or the address information to identify the location of the environmental equipment, and step 502 in which the mobile inspection device moves near and / or stops at the environmental equipment based on the location of the environmental equipment identified by the search.

[0047] In some embodiments, as shown in FIG. 5 , the method further includes step 503 in which the mobile inspection device transmits the location of the environmental equipment identified by the search to a cloud side or a database to update the location of the environmental equipment.

[0048] In this way, the mobile inspection device transmits the precise location of the environmental equipment it has located to the cloud or a database, thereby facilitating future inspections of that environmental equipment.

[0049] In some embodiments, the data collected by the mobile inspection device includes at least one of image data of the environmental equipment and its surroundings, radar detection data of the environmental equipment and its surroundings, vibration data of the environmental equipment, sound data of the environmental equipment, wind volume data of the environmental equipment, and infrared image data of the environmental equipment and its surroundings.

[0050] Accordingly, the mobile inspection equipment has hardware equipment capable of collecting the above data, for example, the mobile inspection equipment has at least one of an imaging module, an infrared imaging module, a vibration sensor, a directional sound sensor, a radar, and a wind sensor.

[0051] In step 102, based on the data collected by the mobile inspection device, change information of the site where the environmental equipment is located is generated. Accordingly, in some embodiments, the change information includes at least one of the ventilation condition of the environmental equipment, the cleanliness of the environmental equipment, shielding information of the environmental equipment, a drainage state, an exhaust volume of the environmental equipment, an installation state of the environmental equipment, a fire risk of the environmental equipment, and a refrigerant leakage risk.

[0052] In some embodiments, the data collected by the mobile inspection device can be input into a model that outputs change information for the site where the environmental device is located.

[0053] In some embodiments, for different types of data, the different types of data collected by the mobile inspection device can be input into different corresponding models, and corresponding change information can be output.

[0054] In this way, the change information can be directly obtained by the trained model, which can be processed efficiently and produce accurate results.

[0055] In some embodiments, the mobile inspection device transmits the collected data to a cloud-based server, which then generates change information about the site where the environmental device is located based on the collected data. That is, step 102 may be performed by the cloud-based server.

[0056] Furthermore, if the communication conditions between the mobile inspection device and the cloud server are poor, the mobile inspection device may store the collected data in advance, and when the communication conditions improve, the collected data may be transmitted to the cloud server. In this way, the system can be adapted to various network conditions to ensure the smooth progress of the inspection process.

[0057] The various collected data and the various generated change information will be described in detail below.

[0058] First, the generation of ventilation conditions for environmental devices in change information will be described.

[0059] 6 is a schematic diagram showing a method for generating ventilation conditions according to Example 1 of the present application. As shown in FIG. 6, the method includes step 601 of detecting an obstacle and its position outside the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device and radar detection data of the environmental equipment and its surroundings, and step 602 of generating an obstacle coefficient indicating the ventilation condition of the environmental equipment based on the detection result of the obstacle and its position outside the environmental equipment.

[0060] In some embodiments, the obstacles include branches, leaves, debris outside the environmental device, and other nearby environmental devices.

[0061] Since obstacles external to the environmental equipment have a significant impact on the health status of the environmental equipment, the accuracy of estimating the health status parameters of the environmental equipment can be further improved by using obstacle coefficients generated based on the detection results for the obstacles.

[0062] In step 602, the detection result of an obstacle outside the environmental device and the position of the obstacle can be input into the trained first model, and an obstacle coefficient can be output.

[0063] In some embodiments, the first model may be a neural network-based model, which may be trained according to various training methods.

[0064] Next, generation of the cleanliness level of the environmental device in the change information will be described.

[0065] 7 is a schematic diagram showing a method for generating a cleanliness index according to Example 1 of the present application. As shown in FIG. 7, the method includes step 701 of detecting dust and rust on the outside of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device, and step 702 of generating a dirt coefficient and a rust coefficient indicating the cleanliness of the environmental equipment based on the detection results of the dust and rust on the outside of the environmental equipment.

[0066] In step 701, dust and rust can be detected in the image data based on image recognition methods.

[0067] In step 702, the detection results of dust and rust on the exterior of the environmental equipment can be input into the trained second model to output dirt coefficients and rust coefficients.

[0068] In some embodiments, the second model may be a neural network-based model, which may be trained according to various training methods.

[0069] Dust and iron rust on the surface of environmental equipment can corrode the equipment and affect its heat dissipation, waterproofing, and other performance, significantly affecting the health of the equipment. Therefore, the dirt coefficient and rust coefficient generated based on the detection results for dust and rust can further improve the accuracy of estimating the health parameters of the environmental equipment.

[0070] Next, the generation of occlusion information of environmental devices in change information will be described.

[0071] 8 is a schematic diagram showing a method for generating occlusion information according to Example 1 of the present application. As shown in Fig. 8, the method includes: step 801 of acquiring related information and light irradiation information of the building where the environmental device is located and surrounding buildings based on image data of the environmental device and its surroundings collected by the mobile inspection device and / or cloud-side data or database data; and step 802 of generating an occlusion coefficient indicating occlusion information of the environmental device based on the related information and light irradiation information of the building where the environmental device is located and surrounding buildings.

[0072] For example, as shown in Figure 2, if the target environmental equipment to be detected is an air conditioner outdoor unit 10, information about building A and surrounding buildings B and C, such as floor height, area, location, etc., can be obtained, and light irradiation information about building A, such as the location of building A and geographical information about the city where it is located, can also be obtained.

[0073] In step 802, the relevant information of the building where the environmental device is located and the surrounding buildings and the light irradiation information can be input into the trained third model, and the shading coefficient can be output.

[0074] In some embodiments, the third model may be a neural network-based model, which may be trained according to various training methods.

[0075] Thus, since light irradiation tends to accelerate the aging of equipment, taking the shading coefficient into consideration can further improve the accuracy of estimating health parameters of environmental equipment.

[0076] Next, the generation of the drainage state of the environmental device in the change information will be described.

[0077] 9 is a schematic diagram showing a method for generating a drainage status according to Example 1 of the present application. As shown in FIG. 9, the method includes step 901 of acquiring image data of a condensation drain outlet and / or a building drain outlet of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device, and step 902 of generating a drainage coefficient indicating the drainage status of the environmental equipment based on the image data of the condensation drain outlet and / or the building drain outlet of the environmental equipment.

[0078] In some embodiments, the condensate drain of the environmental equipment is, for example, a condensate drain of an outdoor unit of an air conditioner, and the building drain is, for example, a drain on the roof on which the environmental equipment is installed.

[0079] In step 902, image data of the condensate drains and / or building drains of the environmental equipment may be input into the trained fourth model to output a drainage coefficient.

[0080] In some embodiments, the fourth model may be a neural network-based model, which may be trained according to various training methods.

[0081] Thus, since accumulated water can cause corrosion of equipment and deterioration of performance over time, taking into account the drainage coefficient can further improve the accuracy of estimating environmental equipment health parameters.

[0082] Next, the generation of the exhaust volume of the environmental equipment in the change information will be described.

[0083] 10 is a schematic diagram illustrating a method for generating an exhaust volume according to Example 1 of the present application, including step 1001 of generating an air volume coefficient indicating an exhaust volume of the environmental device based on air volume data of the environmental device collected by the mobile inspection device.

[0084] In some embodiments, the airflow data is, for example, airflow data for the intake and exhaust ports of the environmental equipment.

[0085] For example, wind volume data is obtained from the acceleration of drones near air intakes and exhausts.

[0086] In step 1001, the air volume data of the environmental device can be input into the trained fifth model to output an air volume coefficient.

[0087] In some embodiments, the fifth model may be a neural network-based model, which may be trained according to various training methods.

[0088] Thus, since the air volume influences the performance and aging of the equipment to some extent, the accuracy of estimating the health parameters of the environmental equipment can be further improved by taking the air volume coefficient into consideration.

[0089] Next, the generation of the installation status of the environmental device in the change information will be described.

[0090] 11 is a schematic diagram illustrating a method for generating an installation state according to the first embodiment of the present invention, which includes step 1101 of generating an installation stability coefficient indicating an installation state of the environmental equipment based on at least one of operation information of a vibration-generating member in the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and sound data of the environmental equipment.

[0091] In some embodiments, when the environmental equipment is operating, a mobile inspection device detects operating information of vibration-generating components within the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment.

[0092] In some embodiments, a drone as a mobile inspection device stops at an environmental device, turns off its motor, and detects vibration data of the environmental device using a vibration sensor and audio data using a directional microphone.

[0093] In some embodiments, the vibration generating component in the environmental equipment may include a motor, a compressor, etc. For example, the operation of the component may include the shift position, rotation speed, etc. of the component.

[0094] In step 1101, at least one of the operating information of the vibration-generating component in the environmental equipment, the vibration data of the environmental equipment collected by the mobile inspection equipment, and the audio data of the environmental equipment can be input into the trained sixth model, and an installation stability coefficient can be output.

[0095] In some embodiments, the sixth model may be a neural network-based model, which may be trained according to various training methods.

[0096] In some embodiments, when the operating information of the vibration-generating member in the environmental equipment can be obtained, for example, when the environmental equipment can be connected to a network and related information is uploaded to a server on the cloud side, the operating information of the vibration-generating member in the environmental equipment, the vibration data of the environmental equipment, and the audio data of the environmental equipment are input into the sixth model to obtain the installation stability coefficient.

[0097] In some embodiments, when the operating information of the vibration-generating components in the environmental equipment cannot be obtained, for example, when the environmental equipment cannot connect to a network, the vibration data of the environmental equipment collected by the mobile inspection equipment and the audio data of the environmental equipment are input into the sixth model to obtain the installation stability coefficient.

[0098] Thus, since the installation stability of equipment affects the performance and aging of the equipment to some extent, the accuracy of estimating the health parameters of environmental equipment can be further improved by taking the installation stability coefficient into consideration.

[0099] Next, generation of a fire risk in change information will be described.

[0100] Fig. 12 is a schematic diagram showing a method for generating a fire risk according to Example 1 of the present application. As shown in Fig. 12, the method includes step 1201 of determining a temperature in the vicinity of the environmental equipment and a temperature on the surface of the environmental equipment based on infrared image data of the environmental equipment and its surroundings collected by the mobile inspection device, and step 1202 of generating a fire risk coefficient indicating a fire risk of the environmental equipment based on the temperatures collected by the sensor of the environmental equipment and / or the temperatures in the vicinity of the environmental equipment and the temperatures on the surface of the environmental equipment determined based on the infrared image data.

[0101] In step 1202, the collected or identified temperatures may be input into a trained seventh model to output a fire risk factor.

[0102] In some embodiments, the seventh model may be a neural network-based model, which may be trained according to various training methods.

[0103] Thus, since temperature influences the performance and aging of equipment to some extent, taking into account the ignition risk factor can further improve the accuracy of estimating the health parameters of environmental equipment.

[0104] Furthermore, in some embodiments, a fire risk report may be generated based on the fire risk factor and pushed to the user, allowing the user to be aware of potential fire risks in a timely manner and take preventative measures in advance.

[0105] Next, the generation of the refrigerant leakage risk in the change information will be described.

[0106] Fig. 13 is a schematic diagram showing a method for calculating a refrigerant leakage risk according to Example 1 of the present invention. As shown in Fig. 13, the method includes step 1301 of identifying a frosting state of the environmental device based on image data of the environmental device and its surroundings collected by the mobile inspection device, and step 1302 of generating a refrigerant leakage coefficient indicating a refrigerant leakage risk of the environmental device based on the frosting state of the environmental device.

[0107] In step 1302, the frosting state of the environmental equipment can be input into the trained eighth model to output a refrigerant leakage coefficient.

[0108] In some embodiments, the eighth model may be a neural network-based model, which may be trained according to various training methods.

[0109] Thus, since refrigerant leakage affects the performance and aging of the equipment to some extent, the accuracy of estimating the health parameters of environmental equipment can be further improved by taking the refrigerant leakage coefficient into consideration.

[0110] Above, we have specifically explained a method for generating change information in step 102, which includes at least one of the ventilation conditions of the environmental equipment, the cleanliness of the environmental equipment, the shielding information of the environmental equipment, the drainage status, the exhaust volume of the environmental equipment, the installation status of the environmental equipment, the fire risk of the environmental equipment, and the refrigerant leakage risk.

[0111] In some embodiments, it may be possible to determine which or which of the above change information to generate depending on the actual situation, for example, based on data that can be collected by a mobile inspection device, or based on the extent to which the change information affects the estimation of the health status of the device, or based on the requirement for estimation accuracy, etc.

[0112] In some embodiments, the process of generating multiple pieces of change information may be performed one after the other or simultaneously, and the embodiments of the present application do not limit the order in which different pieces of change information are generated.

[0113] In step 103, the operating data of the environmental equipment and the initial operating time information of the environmental equipment are acquired.

[0114] In some embodiments, step 102 and step 103 may be performed in sequence or simultaneously, and the embodiments of the present application do not limit the order in which step 102 and step 103 are performed.

[0115] 14 is a schematic diagram showing a method for implementing step 103 according to the first embodiment of the present invention. As shown in FIG. 14, the method includes step 1401 of acquiring operating data of the environmental device within a recent predetermined time period or real-time operating data, and step 1402 of acquiring identification information of the environmental device based on an equipment nameplate in an image captured by the mobile inspection device or based on cloud-side data, and acquiring initial operating time information of the environmental device based on the identification information of the environmental device.

[0116] In some embodiments, step 1401 and step 1402 may be performed in sequence or simultaneously, and the embodiments of the present application do not limit the order in which step 1401 and step 1402 are performed.

[0117] In some embodiments, for example, the operating data of the environmental device is acquired for the last 30 minutes, or the operating data is acquired in real time.

[0118] In some embodiments, the operational data of the environmental equipment may include various operational data, such as temperature, air pressure, operating current, and voltage for an outdoor unit of an air conditioner.

[0119] For example, the operating data of the environmental equipment is acquired by a server on the cloud side.

[0120] In some embodiments, the initial operation time of the environmental equipment is obtained by identifying the ID of the environmental equipment based on the equipment nameplate in the cloud-side server.

[0121] In step 104, health parameters of the environmental equipment are identified based on the change information of the site where the environmental equipment is located, the operation data of the environmental equipment, and the first operation time information of the environmental equipment.

[0122] In some embodiments, the health parameters are obtained by a trained model, which can be trained using a variety of training methods.

[0123] For example, change information on the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment are input into the ninth model, calculations are performed, and health status parameters of the environmental equipment are output.

[0124] In this way, accurate estimation results can be obtained.

[0125] Fig. 15 is a schematic diagram illustrating the use of the ninth model according to the first embodiment of the present invention. As shown in Fig. 15, change information on the site where the environmental device is located, operation data of the environmental device, and information on the initial operation time of the environmental device are input to the ninth model, and health state parameters of the environmental device are output.

[0126] In some embodiments, the ninth model is a model based on a fully connected neural network, although embodiments of the present application may use models with other network structures.

[0127] 16 is a schematic diagram showing the network structure of the ninth model according to Example 1 of the present application. As shown in Fig. 16, operating data such as the temperature, pressure, and current value of the environmental equipment, as well as the cleanliness, installation state, and first use time of the environmental equipment, are input to a fully connected neural network, which outputs health state parameters of the environmental equipment.

[0128] In some embodiments, the health parameters of the environmental devices may be obtained without training a model, for example, by a table lookup method.

[0129] For example, the health parameters of the environmental device are identified using a lookup table method based on the change information of the site where the environmental device is located, the operating data of the environmental device, and the initial operating time information of the environmental device. That is, a comparison table between this information and the health parameters is created in advance, and the table is directly searched when the environmental device is used to obtain the corresponding parameters.

[0130] In this way, health parameters can be easily obtained.

[0131] In some embodiments, the health parameter of the environmental device may be one or more parameters.

[0132] For example, the health parameters of the environmental equipment include at least one of the degree of aging and the depreciation rate of the environmental equipment.

[0133] In some embodiments, the aging or depreciation rate may be expressed as a percentage, for example, the aging rate is 50% or the depreciation rate is 50%.

[0134] In this way, users can intuitively know the current value of environmental equipment and make decisions about maintenance, replacement, etc. in advance.

[0135] In some embodiments, as shown in Figure 1, the method may further include step 105 of providing a user with a maintenance or replacement policy for the environmental equipment based on the identified health parameters of the environmental equipment and the reference values ​​of the health parameters. Step 105 is an optional step and is indicated by a dashed box in Figure 1.

[0136] In this way, reasonable advice can be provided to the user, further improving the user experience.

[0137] In some embodiments, the reference value of the health parameter is calculated based on the initial health parameter of the environmental device, the length of use, the aging coefficient, and the cleanliness degradation rate. For example, the aging degree is calculated according to the following Equation 1:

[0138] where p is the degree of aging deterioration, p ０ is the degree of initial deterioration over time, a is the coefficient of deterioration over time, b is the rate of decrease in cleanliness, and d is the coefficient of rapid deterioration over time.

[0139] In some embodiments, the environmental equipment replacement policy includes a visual relationship between equipment replacement value and health parameters.

[0140] 17 is a schematic diagram illustrating the relationship between the equipment exchange value and the deterioration degree according to Example 1 of the present application. As shown in FIG. 17, after the deterioration degree reaches 50%, the exchange value drops rapidly, and after the deterioration degree reaches 100%, the exchange value remains at an extremely low level.

[0141] In this way, the visualized relationship diagram allows users to intuitively understand the relationship between exchange value and the degree of deterioration over time, allowing them to take rational replacement measures early on, further improving the user experience.

[0142] For example, the exchange value can be calculated using the following equation 2.

[0143] where p is the degree of aging deterioration, y ０ is the original value of the environmental equipment, b ０ indicates the value of disposal as waste.

[0144] In some embodiments, as shown in Figure 1, the method further includes generating and transmitting an inspection report to a user based on the identified health parameters of the environmental equipment at step 106. Step 106 is an optional step and is indicated by a dashed box in Figure 1.

[0145] In this way, the user can get comprehensive information about the specific inspection, further improving the user experience.

[0146] In some embodiments, when an abnormality occurs frequently or when an abnormality with a high risk level occurs, the warning information is directly pushed to the user.

[0147] In some embodiments, as shown in Figure 1, the method further includes step 107 of using the mobile inspection device to perform a cleaning operation on the environmental equipment and including the cleaning operation in the inspection report and transmitting it to a user. Step 107 is an optional step and is indicated by a dashed box in Figure 1.

[0148] For example, the mobile inspection device blows away foreign matter and dust from the outside of the environmental device.

[0149] In this way, the mobile inspection device can be fully utilized to realize inspection and cleaning functions simultaneously, further improving the user experience.

[0150] In some embodiments, as shown in Figure 1, the method further includes step 108 of selecting at least one environmental device from the environmental device to be inspected and other environmental devices on the travel path of the mobile inspection device as a charging station and charging the mobile inspection device. Step 108 is an optional step and is indicated by a dashed box in Figure 1.

[0151] In this way, environmental equipment along the travel route can be fully utilized as charging stations, ensuring the continuity and efficiency of work of the mobile inspection equipment.

[0152] For example, a travel route can be determined based on the current wind direction, and the most suitable environmental equipment can be selected as a charging station.

[0153] In some embodiments, the environmental device charges the mobile inspection device via a battery.

[0154] In some embodiments, a two-dimensional code is printed on the environmental device and the mobile inspection device is charged by scanning the two-dimensional code.

[0155] In some embodiments, the mobile inspection device may be fast charged across two environmental devices, for example, the mobile inspection device may have multiple NFC ports to allow registration of multiple devices.

[0156] In some embodiments, the mobile inspection device can also perform operations such as charging payments via the control terminal.

[0157] As can be seen from the above examples, environmental equipment data is collected using a mobile inspection device, and on-site equipment change information is generated based on the data. Health parameters of the environmental equipment are identified based on the on-site equipment change information, equipment operation data, and the initial operation time. This allows users to timely grasp the health status of the environmental equipment, allowing them to make decisions on maintenance, servicing, and replacement in advance, fully utilizing the value of the environmental equipment, and improving the user experience. Furthermore, when identifying the health parameters of the environmental equipment, the change information generated from the data collected on-site is combined with information such as the equipment operation data and operation time. This comprehensively takes into account various factors that affect the health status of the equipment, improving the accuracy of the estimation results and thereby providing users with accurate equipment health information.

[0158] <Example 2> Example 2 of the present invention provides an inspection system for environmental equipment, which corresponds to the inspection method for environmental equipment described in Example 1. For specific implementation, reference can be made to the implementation of the method described in Example 1, and identical or related parts will not be described repeatedly.

[0159] FIG. 18 is a schematic diagram showing an inspection system for environmental devices according to a second embodiment of the present invention. As shown in FIG. 18, the inspection system 1800 for environmental devices includes an environmental device 1801 to be inspected, a mobile inspection device 1802, and a cloud-side server 1803. The mobile inspection device 1802 moves near the environmental device 1801 and / or stops at the environmental device 1801, collects data on the site where the environmental device 1801 is located, and transmits the data to the server 1803. The server 1803 receives the data transmitted from the mobile inspection device 1802 and generates change information of the site where the environmental device 1801 is located based on the data. The server 1803 also acquires the operating data of the environmental device 1801 and the initial operating time information of the environmental device 1801 from the environmental device 1801 or the cloud side, and further identifies the health status parameters of the environmental device 1801 based on the change information of the site where the environmental device 1801 is located, the operating data of the environmental device 1801, and the initial operating time information of the environmental device 1801.

[0160] In some embodiments, the server 1803 further provides a user with a maintenance or update policy for the environmental equipment based on the identified health parameters of the environmental equipment and the baseline values ​​of the health parameters.

[0161] In some embodiments, the server 1803 further generates and transmits an inspection report to a user based on the identified health parameters of the environmental equipment.

[0162] In some embodiments, the environmental device 1801 is connectable to a network and can thereby be communicatively connected to the server 1803, while in other embodiments, the environmental device 1801 is not connectable to a network and therefore cannot be connected to the server 1803.

[0163] In some embodiments, as shown in FIG. 18, the system further includes a control device 1804 that controls the movement, operation, and charging of the mobile inspection device 1802 .

[0164] Additionally, the control device 1804 can also process payments and the like.

[0165] In some embodiments, the control device 1804 selects at least one environmental device from the environmental device 1801 to be inspected and other environmental devices on the travel path of the mobile inspection device 1802 as a charging station and charges the mobile inspection device.

[0166] In some embodiments, the environmental equipment includes an outdoor unit of an air conditioner.

[0167] In some embodiments, the environmental equipment further includes a charging device provided in the air conditioner outdoor unit.

[0168] In some embodiments, the air conditioner outdoor unit is provided with a two-dimensional code, and the mobile inspection device scans the two-dimensional code to charge the mobile inspection device via the charging device on the air conditioner outdoor unit.

[0169] In some embodiments, the mobile inspection device is a drone or an airship.

[0170] In some embodiments, the implementation of the functions of each of the above devices can refer to the content of the relevant steps in embodiment 1, and the description will not be repeated here.

[0171] As can be seen from the above examples, environmental equipment data is collected using a mobile inspection device, and on-site equipment change information is generated based on the data. Health parameters of the environmental equipment are identified based on the on-site equipment change information, equipment operation data, and the initial operation time. This allows users to timely grasp the health status of the environmental equipment, allowing them to make decisions on maintenance, servicing, and replacement in advance, fully utilizing the value of the environmental equipment, and improving the user experience. Furthermore, when identifying the health parameters of the environmental equipment, the change information generated from the data collected on-site is combined with information such as the equipment operation data and operation time. This comprehensively takes into account various factors that affect the health status of the equipment, improving the accuracy of the estimation results and thereby providing users with accurate equipment health information.

[0172] <Example 3> Example 3 of the present invention provides a mobile inspection device, and the specific content of the mobile inspection device can refer to the method described in Example 1 and the system described in Example 2, and the same or related content will not be described repeatedly.

[0173] FIG. 19 is a schematic diagram showing a mobile inspection device according to a third embodiment of the present invention. As shown in FIG. 19, the mobile inspection device 1900 includes: a drive module 1901 that supplies a drive force for moving the mobile inspection device; a wireless communication module 1902 that performs wireless communication with at least one of a control device of the mobile inspection device, an environmental device, and a cloud-side server; a detection module 1903 that includes at least one of an imaging module, an infrared imaging module, a vibration sensor, a directional sound sensor, a radar, and a wind volume sensor; and a GPS module 1904 that identifies the location of the mobile inspection device.

[0174] In some embodiments, the wireless communication module includes at least one of a Bluetooth module, an NFC module, and a 2.4G module.

[0175] In some embodiments, the mobile inspection device is a drone or an airship.

[0176] As can be seen from the above examples, environmental equipment data is collected using a mobile inspection device, and on-site equipment change information is generated based on the data. Health parameters of the environmental equipment are identified based on the on-site equipment change information, equipment operation data, and the initial operation time. This allows users to timely grasp the health status of the environmental equipment, allowing them to make decisions on maintenance, servicing, and replacement in advance, fully utilizing the value of the environmental equipment, and improving the user experience. Furthermore, when identifying the health parameters of the environmental equipment, the change information generated from the data collected on-site is combined with information such as the equipment operation data and operation time. This comprehensively takes into account various factors that affect the health status of the equipment, improving the accuracy of the estimation results and thereby providing users with accurate equipment health information.

[0177] The above-described apparatus and methods according to the embodiments of the present invention may be realized in hardware or a combination of hardware and software. The present invention also relates to a computer-readable program that, when executed by logic components, causes the logic components to realize the above-described apparatus or components, or to implement the various methods or things described above.

[0178] The embodiment of the present invention further relates to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, or a flash memory.

[0179] Furthermore, the limitations on each step of the present solution do not limit the order of the steps, provided that they do not affect the implementation of the specific solution. What is written first may be executed first, later, or even simultaneously. As long as the present solution can be implemented, any of these should be considered to fall within the scope of protection of the present application.

[0180] Although the present invention has been described above with reference to specific embodiments, those skilled in the art will understand that these descriptions are merely illustrative and do not limit the scope of protection of the present invention. Those skilled in the art can make various modifications and amendments to the present invention based on the spirit and principles of the present invention, and these modifications and amendments are also within the scope of the present invention.

Claims

1. Collecting data of a site where an environmental device is located using a mobile inspection device; generating change information of a site in which the environmental device is located based on the data collected by the mobile inspection device; Acquiring operation data of the environmental equipment and initial operation time information of the environmental equipment; and determining health state parameters of the environmental equipment based on change information of a site where the environmental equipment is located, operation data of the environmental equipment, and initial operation time information of the environmental equipment. How to inspect environmental equipment.

2. the data collected by the mobile inspection device includes at least one of image data of the environmental device and its surroundings, radar detection data of the environmental device and its surroundings, vibration data of the environmental device, sound data of the environmental device, air volume data of the environmental device, and infrared image data of the environmental device and its surroundings. The method of claim 1.

3. Collecting data of a site where an environmental device is located using the mobile inspection device includes: a mobile inspection device moving near and / or stopping at an environmental device; The mobile inspection device collects the data of a site where the environmental device is located. The method of claim 1.

4. The moving of the mobile inspection device near the environmental equipment and / or stopping at the environmental equipment includes: The mobile inspection device acquires location information of the environmental device and / or user address information from a cloud side or a database; and the mobile inspection device moves near and / or stops at the environmental equipment based on the location information and / or the address information. The method according to claim 3.

5. The moving of the mobile inspection device near the environmental equipment and / or stopping at the environmental equipment includes: The mobile inspection device searches within a certain area based on the location information and / or the address information to identify the location of the environmental equipment; and the mobile inspection device moves near and / or stops at the environmental equipment based on the location of the environmental equipment identified by the search. The method according to claim 4.

6. The method further includes transmitting the location of the environmental equipment identified by the mobile inspection device to a cloud side or a database to update the location of the environmental equipment. The method according to claim 5.

7. The method further includes wirelessly charging the mobile inspection device by the environmental device. The method according to claim 3.

8. The change information includes at least one of the ventilation condition of the environmental equipment, the cleanliness of the environmental equipment, the shielding information of the environmental equipment, the drainage state, the exhaust amount of the environmental equipment, the installation state of the environmental equipment, the fire risk of the environmental equipment, and the refrigerant leakage risk. The method according to claim 1 or 2.

9. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: Detecting an obstacle and a position of the obstacle outside the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device and radar detection data of the environmental equipment and its surroundings; and generating an obstacle coefficient indicating a ventilation condition of the environmental equipment based on a detection result of an obstacle outside the environmental equipment and a position of the obstacle. The method according to claim 8.

10. The obstacles include branches, leaves, debris and other environmental equipment.

10. The method of claim 9.

11. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: Detecting dust and rust on the outside of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device; and generating a dirt coefficient and a rust coefficient indicating the cleanliness of the environmental equipment based on the detection results of the dust and rust outside the environmental equipment. The method according to claim 8.

12. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: Acquiring related information and light irradiation information of the building in which the environmental device is located and the surrounding buildings based on image data of the environmental device and its surroundings collected by the mobile inspection device, and / or cloud-side data or database data; and generating an occlusion coefficient indicating occlusion information of the environmental device based on related information of the building in which the environmental device is located and surrounding buildings and light irradiation information. The method according to claim 8.

13. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: acquiring image data of a condensation drain and / or a building drain of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device; and generating a drainage coefficient indicating a drainage state of the environmental equipment based on image data of a condensation water drain and / or a building drain of the environmental equipment. The method according to claim 8.

14. and generating an air volume coefficient indicating an exhaust volume of the environmental equipment based on the air volume data of the environmental equipment collected by the mobile inspection device. The method according to claim 8.

15. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: and generating an installation stability coefficient indicating an installation state of the environmental equipment based on at least one of operation information of a vibration generating member in the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment. The method according to claim 8.

16. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: Identifying a temperature in the vicinity of the environmental device and a temperature on a surface of the environmental device based on infrared image data of the environmental device and its surroundings collected by the mobile inspection device; generating an ignition risk coefficient indicating a ignition risk of the environmental equipment based on the temperature collected by a sensor of the environmental equipment and / or the temperature in the vicinity of the environmental equipment and the temperature of the surface of the environmental equipment identified based on the infrared image data, The method according to claim 8.

17. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: Identifying a frost state of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device; and generating a refrigerant leakage coefficient indicating a refrigerant leakage risk of the environmental equipment based on a frost state of the environmental equipment. The method according to claim 8.

18. The generating of change information of a site where the environmental equipment is located based on the data collected by the mobile inspection equipment includes: The data collected by the mobile inspection device is input into a model, and change information of the site where the environmental device is located is output.

8. The method according to any one of claims 1 to 7.

19. The data collected by the mobile inspection device is input into a model, and change information of the site where the environmental device is located is output. The different types of data collected by the mobile inspection device are input into different corresponding models, and corresponding change information is output.

20. The method of claim 18.

20. The method further includes the step of: the mobile inspection device transmits the collected data to a server on a cloud side, and the server generates change information of a site where the environmental device is located based on the collected data. The method of claim 1.

21. The acquiring of the operation data of the environmental equipment and the initial operation time information of the environmental equipment includes: Acquiring operation data of the environmental equipment within a recent predetermined time period or real-time operation data; and acquiring identification information of the environmental equipment based on an equipment nameplate in an image captured by the mobile inspection device or based on cloud-side data, and acquiring initial operation time information of the environmental equipment based on the identification information of the environmental equipment. The method of claim 1.

22. Identifying a health condition parameter of the environmental device based on change information of a site where the environmental device is located, operation data of the environmental device, and initial operation time information of the environmental device, and inputting change information of a site where the environmental equipment is located, operation data of the environmental equipment, and initial operation time information of the environmental equipment into a model to calculate and output a health state parameter of the environmental equipment. The method of claim 1.

23. The model is a model based on a fully connected neural network.

23. The method of claim 22.

24. Identifying a health condition parameter of the environmental device based on change information of a site where the environmental device is located, operation data of the environmental device, and initial operation time information of the environmental device, and determining health state parameters of the environmental equipment by a table lookup method based on change information of a site where the environmental equipment is located, operation data of the environmental equipment, and initial operation time information of the environmental equipment. The method of claim 1.

25. The health parameter of the environmental equipment includes at least one of a degree of deterioration and a depreciation rate of the environmental equipment. The method of claim 1.

26. The method further includes providing a user with a maintenance or replacement policy for the environmental equipment based on the identified health parameter of the environmental equipment and a reference value of the health parameter. The method of claim 1.

27. The reference value of the health state parameter is calculated based on an initial health state parameter of the environmental equipment, a usage time length, an aging deterioration coefficient, and a cleanliness deterioration rate.

27. The method of claim 26.

28. The environmental equipment replacement policy includes a visualized relationship between equipment replacement value and health status parameters.

28. The method of claim 26 or 27.

29. The method further includes generating and transmitting an inspection report to a user based on the identified health parameters of the environmental equipment.

27. The method of claim 1 or 26.

30. The method further includes performing a cleaning operation on the environmental equipment using the mobile inspection device, and including the cleaning operation in the inspection report and transmitting the inspection report to a user.

30. The method of claim 29.

31. The method further includes selecting at least one environmental device from the environmental device to be inspected and other environmental devices on a moving route of the mobile inspection device as a charging station, and charging the mobile inspection device. The method of claim 1.

32. The environmental equipment includes an outdoor unit of an air conditioner. The method of claim 1.

33. The mobile inspection device is a drone or an airship. The method of claim 1.

34. The system includes an environmental device to be inspected, a mobile inspection device, and a cloud server, the mobile inspection device travels near and / or stops at the environmental equipment to collect data of the site where the environmental equipment is located and transmits the data to the server; The server receives the data transmitted from the mobile inspection device, and generates change information of the site where the environmental device is located based on the data, and the server acquires operation data of the environmental device and initial operation time information of the environmental device from the environmental device or the cloud side, and further identifies health condition parameters of the environmental device based on the change information of the site where the environmental device is located, the operation data of the environmental device, and the initial operation time information of the environmental device. Environmental equipment inspection system.

35. The server further provides a user with a maintenance or update policy for the environmental equipment based on the identified health condition parameter of the environmental equipment and a reference value of the health condition parameter.

35. The system of claim 34.

36. The server further generates an inspection report based on the identified health condition parameters of the environmental equipment and transmits the inspection report to the user.

36. A system according to claim 34 or 35.

37. The mobile inspection device further includes a control device for controlling the movement, operation, and charging of the mobile inspection device.

35. The system of claim 34.

38. The control device selects at least one environmental device from the environmental device to be inspected and other environmental devices on a moving route of the mobile inspection device as a charging station, and charges the mobile inspection device.

38. The system of claim 37.

39. The environmental equipment includes an outdoor unit of an air conditioner.

35. The system of claim 34.

40. The environmental equipment further includes a charging device provided in the air conditioner outdoor unit.

40. The system of claim 39.

41. The air conditioner outdoor unit is provided with a two-dimensional code, and the mobile inspection device scans the two-dimensional code to charge the mobile inspection device using the charging device on the air conditioner outdoor unit.

41. The system of claim 40.

42. The mobile inspection device is a drone or an airship.

35. The system of claim 34.

43. a drive module for providing a drive force for moving the mobile inspection device; a wireless communication module that wirelessly communicates with at least one of a control device of the mobile inspection device, an environmental device, and a server on a cloud side; A detection module including at least one of an imaging module, an infrared imaging module, a vibration sensor, a directional sound sensor, a radar, and a wind sensor; and a GPS module for identifying the location of the mobile inspection device. Mobile inspection equipment.

44. The wireless communication module includes at least one of a Bluetooth module, an NFC module, and a 2.4G module.

44. A mobile inspection device as claimed in claim 43.

45. The mobile inspection device is a drone or an airship.

45. A mobile inspection device according to claim 43 or 44.