Inspection methods, devices, and systems for environmental equipment

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

Technical Field

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

Background Art

[0002] With the rapid development of the social economy and the rapid advancement of urbanization and industrialization, environmental equipment such as air conditioners, for example, is widely applied.

[0003] As the service life increases, environmental equipment gradually deteriorates over time. Currently, generally, only when the environmental equipment fails or the usage situation becomes poor, the user makes an inspection request, and the maintenance staff visits the home to inspect the equipment.

[0004] Furthermore, the maintenance staff may visit the home regularly to provide inspection services. During the inspection, the maintenance staff collects the operation data of the environmental equipment, inspects the operation status of the environmental equipment, and estimates the degree of aging deterioration based on the operation data of the environmental equipment, etc., so as to reduce the probability of initial failure of the environmental equipment to a certain extent.

[0005] It should be noted that the above description of the technical background is only for clarifying, completely and easily explaining the technical solution of the present invention, and facilitating the understanding of those skilled in the art. It cannot be considered that these solutions are known to those skilled in the art just because they are described in the background art part of the present invention.

Summary of the Invention

[0006] However, with the conventional methods described above, when environmental equipment malfunctions or is reported by the user as being in poor condition, there is a possibility that irreversible damage has occurred to the environmental equipment. In conventional inspection methods, maintenance personnel generally judge the operating condition and degree of deterioration of the environmental equipment based on operating data. This method relies on the experience of the maintenance personnel and, because it only considers operating data when estimating the degree of deterioration of the environmental equipment, the estimation results are not accurate.

[0007] In fact, for environmental equipment, especially outdoor-mounted equipment, environmental factors at the site of its location significantly affect the equipment's deterioration over time. For example, factors such as rainwater runoff, the condition of roof drains, whether drains are blocked or not, the impact of surrounding equipment layout on ventilation, rust, dirt, or the location of solar panels or other manufacturers' equipment that obstruct the equipment all have a significant impact on the deterioration of the equipment over time. However, conventional methods do not take into account the dynamic factors at the site where these devices are located.

[0008] Furthermore, with the conventional methods described above, users cannot obtain timely information such as the degree of deterioration of environmental equipment over time, and therefore cannot take preventative measures. In other words, they may not request maintenance, repair, or replacement of equipment until it becomes unusable, thus reducing the value of the equipment, resulting in wasteful spending, and negatively impacting the user experience.

[0009] To solve at least one of the above problems, embodiments of the present invention provide a method, apparatus, and system for inspecting environmental equipment. These can provide accurate estimation results of the health status of environmental equipment, allowing users to understand the health status of the equipment in a timely manner.

[0010] According to a first embodiment of the present invention, a method for inspecting environmental equipment is provided, which includes: collecting data of the site where the 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; acquiring 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 embodiment of the present invention, an environmental equipment inspection system is provided, comprising 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 site data 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 site change information where the environmental equipment is located based on the data, and the server obtains the environmental equipment's operating data and the initial operating time information from the environmental equipment or the cloud, and further identifies the health status parameters of the environmental equipment based on the site change information 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 embodiment of the present invention, a mobile inspection device is provided that includes a drive module that supplies driving force to move the mobile inspection device, a wireless communication module that communicates wirelessly with at least one of the control device, environmental device, and cloud-side server of the mobile inspection device, a detection module that includes at least one of the imaging module, infrared imaging module, vibration sensor, directional voice sensor, radar, and airflow sensor, and a GPS module that identifies the location of the mobile inspection device.

[0013] One of the beneficial effects of the embodiment of the present invention is that by collecting data on environmental equipment using a mobile inspection device, generating information on changes at the equipment site based on this data, and identifying the health status parameters of the environmental equipment based on the information on changes at the equipment site, equipment operation data, and initial operation time, users can understand the health status of the environmental equipment in a timely manner. This allows 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 environmental equipment, the system combines change information generated from data collected on-site with information such as equipment operating data and operating time. This comprehensively considers various factors that affect the health of the equipment, improving the accuracy of the estimation results and enabling the provision of accurate equipment health information to users.

[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 or substituting for feature information in other embodiments.

[0015] When used in this text, the term "include / contain" refers to the presence of feature information, an entire component, a step, or a component, but it must be emphasized that it does not exclude the presence / addition of one or more other feature information, an entire component, a step, or a component. [Brief explanation of the drawing]

[0016] Many aspects of the present invention can be better understood by referring to the following drawings. The components in the drawings are not depicted proportionally, but only to illustrate the principles of the present invention. To facilitate the illustration and explanation of certain parts of the present invention, corresponding parts in the drawings may be enlarged or reduced. The elements and feature information described in one drawing or one embodiment of the present invention can be combined with the elements and feature information shown in one or more other drawings or embodiments. In addition, similar reference numerals in the drawings may be used to indicate corresponding components in some drawings and to indicate corresponding components used in one or more embodiments. The drawings are as follows:

[0017] [Figure 1] This is a schematic diagram showing an inspection method for environmental equipment according to Embodiment 1 of the present invention. [Figure 2] This is a schematic diagram showing a scene of an inspection method for environmental equipment according to Embodiment 1 of the present invention. [Figure 3] This is a schematic diagram illustrating how a mobile inspection device according to Embodiment 1 of the present invention collects field data. [Figure 4] This is a schematic diagram showing a method for realizing step 301 according to Embodiment 1 of the present application. [Figure 5] This is a schematic diagram showing another method for realizing step 301 according to Embodiment 1 of the present application. [Figure 6] This is a schematic diagram showing a method for generating ventilation conditions according to Embodiment 1 of the present application. [Figure 7] This is a schematic diagram showing a method for generating cleanliness according to Example 1 of the present application. [Figure 8] This is a schematic diagram showing a method for generating shielding information according to Embodiment 1 of the present invention. [Figure 9] This is a schematic diagram showing a method for generating the wastewater state according to Embodiment 1 of the present application. [Figure 10] This is a schematic diagram showing a method for generating exhaust volume according to Example 1 of the present invention. [Figure 11] This is a schematic diagram showing a method for generating the mounting state according to Embodiment 1 of the present invention. [Figure 12] It is a schematic diagram showing a method for generating a fire risk according to Embodiment 1 of the present application. [Figure 13] It is a schematic diagram showing a method for generating a refrigerant leakage risk according to Example 1 of the present application. [Figure 14] It is a schematic diagram showing a method for realizing Step 103 according to Example 1 of the present application. [Figure 15] It is a schematic diagram showing the use of the ninth model according to Example 1 of the present application. [Figure 16] It is a schematic diagram showing the network structure of the ninth model according to Example 1 of the present application. [Figure 17] 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 application. [Figure 18] It is a schematic diagram showing an inspection system for environmental equipment according to Example 2 of the present invention. [Figure 19] It is a schematic diagram showing a mobile inspection device according to Example 3 of the present invention.

Embodiments for Carrying out the Invention

[0018] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings.

[0019] <Example 1> Example 1 of the present invention provides an inspection method for environmental equipment. FIG. 1 is a schematic diagram showing the inspection method for environmental equipment according to Example 1 of the present invention. As shown in FIG. 1, the method includes Step 101 of collecting data at the site where the environmental equipment is located using a mobile inspection device, Step 10, based on the data collected by the mobile inspection device, of generating change information at the site where the environmental equipment is located, Step 103 of obtaining the operation data of the environmental equipment and the first operation time information of the environmental equipment, The method includes step 104, which identifies the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and information on the initial operating time of the environmental equipment.

[0020] In this way, by collecting data on environmental equipment using mobile inspection devices, generating information on changes at the equipment site based on this data, and identifying environmental equipment health parameters based on the information on changes at the equipment site, equipment operation data, and initial operation time, users can understand the health status of the environmental equipment in a timely manner. This allows 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 environmental equipment, the system combines change information generated from data collected on-site with information such as equipment operating data and operating time. This comprehensively considers various factors that affect the health of the equipment, improving the accuracy of the estimation results and enabling the provision of accurate equipment health information to users.

[0021] In some embodiments, the environmental equipment includes various 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 solar energy equipment, and in the embodiments of this 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 the building, or on an external equipment bracket of the building, such as an air conditioner bracket, or at any 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 indoor units of air conditioners, indoor units of ventilation systems, humidifiers, air purifiers, and the like.

[0024] In some embodiments, the environmental equipment to be detected is also called the target environmental equipment.

[0025] In some embodiments, inspection refers to the periodic examination of equipment and / or the examination of certain set items of equipment. Alternatively, in some embodiments, inspection may be understood as routine inspection or detection.

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

[0027] In some embodiments, the mobile inspection equipment may be various movable inspection devices, for example, a drone or an airship, or other freely movable equipment.

[0028] Figure 2 is a schematic diagram showing a scene of an inspection method for environmental equipment according to Embodiment 1 of the present invention. As shown in Figure 2, for example, an air conditioner outdoor unit 10, which is an environmental equipment, is installed on the roof of building A, and furthermore, air conditioner outdoor units 11 and 12 are installed on the roofs of nearby buildings B and C, respectively, and a drone 20, which is a mobile inspection device, collects field data from at least one of the air conditioner outdoor units 10, 11, and 12.

[0029] Furthermore, as shown in Figure 2, the drone 20 can be controlled by a control terminal 30, for example, remotely controlled by the control terminal 30, and / or move based on a target position or target path 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 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 the target environmental device, which is the environmental device to be detected, or stops at the environmental device, and then collects field data.

[0032] Figure 3 is a schematic diagram showing how a mobile inspection device according to Embodiment 1 of the present application collects field data. As shown in Figure 3, the method is Step 301, in which the mobile inspection device moves near the environmental equipment and / or stops on the environmental equipment, The mobile inspection device includes step 302 of collecting data from the site where the environmental device is located.

[0033] In some embodiments, if the environmental equipment is network-connected, the mobile inspection device can obtain information via a cloud-based server about whether the environmental equipment is operating or not. If the environmental equipment is not network-connected, the mobile inspection device can fly around the environmental equipment and detect the temperature difference between the exhaust port temperature and the temperature of other parts of the equipment. If the exhaust port temperature is greater than or less than a certain threshold for the temperature of other parts, the environmental equipment is operating.

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

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

[0036] For example, an air conditioner's outdoor unit is equipped with a QR code, and the mobile inspection device is charged by scanning this QR code.

[0037] In this way, by wirelessly charging mobile inspection equipment using environmental devices, we can ensure continuous operation of mobile inspection equipment while improving work efficiency.

[0038] In some embodiments, the mobile inspection device identifies the location of the environmental device to be detected based on the location information of the environmental device or the user address information of the user using the environmental device, and moves to a location close to that 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 GPS positioning capabilities, that precise location information is uploaded to a server on the cloud side. In this case, the mobile inspection device can acquire the precise location of the environmental equipment, move directly to the vicinity of 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 precise location of the air conditioner outdoor unit 10 from the cloud-side server 40, move closer to the air conditioner outdoor unit 10 based on that precise location, and even stop at the air conditioner outdoor unit 10.

[0041] If the location information or user address information of the environmental equipment acquired by the mobile inspection device is not very accurate, for example, if the environmental equipment does not have GPS positioning capabilities, it is not possible to obtain its precise location information. If the environmental equipment can connect to the network, the mobile inspection device obtains the user's address information via a cloud-side server. If the environmental equipment cannot connect to the network, the mobile inspection device obtains the address information registered by the user via a database. In the above cases, 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 equipment, it can upload the precise location information of the environmental equipment to the cloud-side server for storage and updating using the mobile inspection device's positioning function.

[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 server 40. In this case, the drone 20 can obtain a user address from the database, search near building A, and if it finds the air conditioner outdoor unit 11, move near the air conditioner outdoor unit 11 and even stop 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 server 40 for use in the next inspection.

[0043] Furthermore, if location or address information for environmental equipment cannot be obtained, the 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 user can move to that location to verify it.

[0044] Thus, 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, improving the reliability and universality of the method.

[0045] Figure 4 is a schematic diagram showing a method for realizing step 301 according to Embodiment 1 of the present application. As shown in Figure 4, the method is Step 401: The mobile inspection device obtains location information of the environmental device and / or user address information from the cloud or database. Step 402 includes the mobile inspection device moving near the environmental equipment and / or stopping at the environmental equipment based on the location information and / or address information.

[0046] Figure 5 is a schematic diagram showing another method for realizing step 301 according to Embodiment 1 of the present application. As shown in Figure 5, the method is Step 501: The mobile inspection device searches within a certain area based on the location information and / or address information to locate the environmental equipment. The mobile inspection device includes step 502, which moves near the environmental equipment 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 Figure 5, the method is The mobile inspection device further includes step 503, which transmits the location of the environmental equipment identified by the search to the cloud or database to update the location of the environmental equipment.

[0048] In this way, mobile inspection devices facilitate future inspections of environmental equipment by transmitting the precise location of the detected equipment to the cloud or a database.

[0049] In some embodiments, the data collected by the mobile inspection device includes at least one of the following: image data of the environmental device and its surroundings; radar detection data for the environmental device and its surroundings; vibration data of the environmental device; audio data of the environmental device; airflow data of the environmental device; and infrared image data of the environmental device and its surroundings.

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

[0051] In step 102, based on the data collected by the mobile inspection device, change information is generated at the site where the environmental equipment is located. Accordingly, in some embodiments, the change information includes at least one of the following: 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 mounting status of the environmental equipment, the fire risk of the environmental equipment, and the refrigerant leakage risk.

[0052] In some embodiments, the data collected by the mobile inspection device can be input into a model, and information on changes at the site where the environmental device is located can be output.

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

[0054] In this way, by directly acquiring change information using a trained model, it is possible to process it efficiently and obtain accurate results.

[0055] In some embodiments, the mobile inspection device transmits the collected data to a cloud-based server, which then generates site change information based on the collected data, indicating the location of the environmental device. In other words, step 102 may be performed by a cloud-based server.

[0056] Furthermore, if communication between the mobile inspection device and the cloud server is poor, the mobile inspection device may pre-store the collected data and send it to the cloud server once communication conditions improve. In this way, it can be applied to various network conditions and ensure the smooth progress of the inspection process.

[0057] The following provides a detailed explanation of the various data collected and the various change information generated.

[0058] First, we will explain how to generate ventilation conditions for environmental equipment in change information.

[0059] Figure 6 is a schematic diagram showing a method for generating ventilation conditions according to Embodiment 1 of the present application. As shown in Figure 6, the method is Step 601 involves detecting obstacles outside the environmental equipment and the location of those obstacles based on image data of the environmental equipment and its surroundings collected by the mobile inspection device and radar detection data for the environmental equipment and its surroundings. The process includes step 602, which generates an obstacle coefficient indicating the ventilation conditions of the environmental equipment based on the detection results of external obstacles and the location of said obstacles.

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

[0061] External obstacles to environmental equipment significantly affect its health status. Therefore, using an obstacle coefficient generated based on detection results for these obstacles can further improve the accuracy of estimating the health status parameters of the environmental equipment.

[0062] In step 602, the detection results of external obstacles and the locations of said obstacles 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 can be obtained by training it using various training methods.

[0064] Next, we will explain how to generate the cleanliness level of environmental equipment in change information.

[0065] Figure 7 is a schematic diagram showing a method for generating cleanliness according to Embodiment 1 of the present application. As shown in Figure 7, the method is Step 701 detects 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, The method includes step 702, which generates a fouling coefficient and a rust coefficient indicating the cleanliness of the environmental equipment based on the detection results of 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 the image recognition method.

[0067] In step 702, the detection results of dust and rust from the outside of the environmental equipment can be input into a trained second model to output a fouling coefficient and a rust coefficient.

[0068] In some embodiments, the second model may be a neural network-based model, which can be obtained by training it using various training methods.

[0069] Dust and rust on the surface of environmental equipment can easily corrode the equipment and affect its performance, such as heat dissipation and waterproofing, thus significantly impacting its health. Therefore, the accuracy of estimating environmental equipment health parameters can be further improved by using contamination and rust coefficients generated based on the detection results for dust and rust.

[0070] Next, we will explain the generation of shielding information for environmental equipment in change information.

[0071] Figure 8 is a schematic diagram showing a method for generating shielding information according to Embodiment 1 of the present application. As shown in Figure 8, the method is Step 801 involves obtaining relevant information about the building where the environmental equipment is located and surrounding buildings, as well as light irradiation information, based on image data of the environmental equipment and its surroundings collected by the mobile inspection device, and / or data from the cloud or database. The method includes step 802, which generates a shielding coefficient indicating the shielding information of the environmental equipment based on relevant information about the building in which the environmental equipment is located and surrounding buildings, and light irradiation information.

[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, and location, can be acquired. Furthermore, light irradiation information for building A, such as the location of building A and geographical information of the city where it is located, can also be acquired.

[0073] In step 802, relevant information about the building where the environmental device is located and the surrounding buildings, along with light irradiation information, can be input into a trained third model to output a shielding coefficient.

[0074] In some embodiments, the third model may be a neural network-based model, which can be obtained by training it using various training methods.

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

[0076] Next, we will explain how to generate the wastewater status of the environmental equipment in the change information.

[0077] Figure 9 is a schematic diagram showing a method for generating a wastewater state according to Embodiment 1 of the present application. As shown in Figure 9, the method is Step 901: Based on image data of the environmental equipment and its surroundings collected by the mobile inspection device, image data of the condensate drain and / or building drain of the environmental equipment is obtained. The method includes step 902, which generates a drainage coefficient indicating the drainage status of the environmental equipment based on image data of the condensate drain outlet and / or building drain outlet of the environmental equipment.

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

[0079] In step 902, image data of the condensate drain outlet of the environmental equipment and / or the building drain outlet can 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 can be obtained by training it using various training methods.

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

[0082] Next, we will explain how to generate the exhaust volume of the environmental equipment in the change information.

[0083] Figure 10 is a schematic diagram showing a method for generating exhaust volume according to Embodiment 1 of the present application. As shown in Figure 10, the method is The method includes step 1001, which generates an airflow coefficient indicating the exhaust volume of the environmental equipment based on airflow data of the environmental equipment collected by the mobile inspection device.

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

[0085] For example, airflow data can be obtained from the acceleration of the drone near the air intake and exhaust ports.

[0086] In step 1001, the airflow data of the environmental equipment can be input into the trained fifth model, and an airflow coefficient can be output.

[0087] In some embodiments, the fifth model may be a neural network-based model, which can be obtained by training it using various training methods.

[0088] Thus, since airflow has some influence on the performance and aging of equipment, taking the airflow coefficient into account can further improve the accuracy of estimating the health parameters of environmental equipment.

[0089] Next, we will explain how to generate the mounting status of the environmental equipment in the change information.

[0090] Figure 11 is a schematic diagram showing a method for generating the mounting state according to Embodiment 1 of the present application. As shown in Figure 11, the method is The process includes step 1101, which generates an installation stability coefficient indicating the installation status of the environmental equipment based on at least one of the following: operating information of the vibration generating member within the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment.

[0091] In some embodiments, when the environmental equipment is in operation, a mobile inspection device detects the operation information of the vibration generating member 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, the drone, acting as a mobile inspection device, stops in front of the environmental equipment, turns off its motor, detects vibration data from the environmental equipment using a vibration sensor, and detects audio data using a directional microphone.

[0093] In some embodiments, the vibration generating component within the environmental equipment may include a motor, a compressor, and the like. For example, the operation of the component may include its shift position, rotational speed, and so on.

[0094] In step 1101, at least one of the following—operating information of the vibration generating member within the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment—is input to a trained sixth model to output an installation stability coefficient.

[0095] In some embodiments, the sixth model may be a neural network-based model, which can be obtained by training it using various training methods.

[0096] In some embodiments, if it is possible to obtain operating information of vibration generating members within the environmental equipment, for example, if the environmental equipment is network-connectable and uploads relevant information to a cloud-side server, the operating information of vibration generating members within the environmental equipment, the vibration data of the environmental equipment, and the audio data of the environmental equipment are input to the sixth model to obtain the mounting stability coefficient.

[0097] In some embodiments, if it is not possible to obtain operating information of vibration-generating components within the environmental equipment, for example, if the environmental equipment cannot connect to a network, vibration data of the environmental equipment collected by a mobile inspection device and audio data of the environmental equipment are input to the sixth model to obtain the mounting stability coefficient.

[0098] Thus, since the mounting stability of equipment has some influence on its performance and aging, taking the mounting stability factor into consideration can further improve the accuracy of estimating the health parameters of environmental equipment.

[0099] Next, we will explain the generation of fire risk in change information.

[0100] Figure 12 is a schematic diagram showing a method for generating an ignition risk according to Embodiment 1 of the present application. As shown in Figure 12, the method is Step 1201, based on infrared image data of the environmental equipment and its surroundings collected by the mobile inspection device, to identify the temperature near the environmental equipment and the surface temperature of the environmental equipment. The method includes step 1202, which generates a fire risk coefficient indicating the fire risk of the environmental device based on the temperature collected by the environmental device's sensors and / or the temperature near the environmental device and the surface temperature of the environmental device, which are identified based on infrared image data.

[0101] In step 1202, the collected or identified temperatures can be input into the trained seventh model to output an ignition risk coefficient.

[0102] In some embodiments, the seventh model may be a neural network-based model, which can be obtained by training it using various training methods.

[0103] Thus, since temperature has some influence on the performance and aging of equipment, taking the ignition risk coefficient into account 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 coefficient and pushed to the user. In this way, the user can understand potential fire risks in a timely manner and take preventive measures in advance.

[0105] Next, we will explain how to generate refrigerant leakage risk in change information.

[0106] Figure 13 is a schematic diagram showing a method for generating a refrigerant leakage risk according to Example 1 of the present invention. As shown in Figure 13, the method is Step 1301 involves identifying the frost condition of the environmental equipment based on image data of the environmental equipment and its surroundings collected by the mobile inspection device, The method includes step 1302, which generates a refrigerant leakage coefficient indicating the risk of refrigerant leakage of the environmental equipment based on the frost accumulation state of the environmental equipment.

[0107] In step 1302, the frost condition of the environmental equipment can be input into the trained eighth model, and the refrigerant leakage coefficient can be output.

[0108] In some embodiments, the eighth model may be a neural network-based model, which can be obtained by training it using various training methods.

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

[0110] In step 102, a method for generating change information including at least one of the following: ventilation conditions of the environmental equipment, cleanliness of the environmental equipment, shielding information of the environmental equipment, drainage status, exhaust volume of the environmental equipment, mounting status of the environmental equipment, fire risk of the environmental equipment, and refrigerant leakage risk was specifically described.

[0111] In some embodiments, depending on the actual situation, it is possible to specify which or which of the above change information to generate, for example, based on data that can be collected by mobile inspection equipment, or based on the degree to which the change information affects the estimation of the equipment's health status, or based on requirements for estimation accuracy.

[0112] In some embodiments, the process of generating multiple change information may be performed before or after other processes, or simultaneously, and the embodiments of the present application do not limit the order in which different change information is 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, steps 102 and 103 may be performed sequentially or simultaneously, and the embodiments of the present application do not limit the order in which steps 102 and 103 are performed.

[0115] Figure 14 is a schematic diagram showing a method for realizing step 103 according to Embodiment 1 of the present application. As shown in Figure 14, the method is Step 1401 involves acquiring the most recent operating data or real-time operating data of the environmental equipment, The procedure includes step 1402, which involves obtaining marking information for the environmental equipment based on the equipment nameplate in an image taken by the mobile inspection device or based on cloud-side data, and obtaining initial operating time information for the environmental equipment based on the marking information for the environmental equipment.

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

[0117] In some embodiments, for example, operating data for the environmental equipment over the past 30 minutes is acquired, or operating data is acquired in real time.

[0118] In some embodiments, the operating data of environmental equipment may include various types of data. For example, for an air conditioner outdoor unit, the operating data may include temperature, atmospheric pressure, operating current, voltage, etc.

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

[0120] In some embodiments, the initial operating time of an environmental device is obtained by identifying the ID of the environmental device based on the device nameplate on the cloud server.

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

[0122] In some embodiments, health status parameters are obtained by a trained model, and the model can be trained using various training methods.

[0123] For example, the ninth model is input with information on changes at the site where the environmental equipment is located, operating data of the environmental equipment, and information on the initial operating time of the environmental equipment to calculate and output the health status parameters of the environmental equipment.

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

[0125] Figure 15 is a schematic diagram showing the use of the ninth model according to Embodiment 1 of the present application. As shown in Figure 15, the ninth model is input with information on changes at the site where the environmental equipment is located, operating data of the environmental equipment, and information on the initial operating time of the environmental equipment, and outputs the health status parameters of the environmental equipment.

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

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

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

[0129] For example, based on change information at 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, the health status parameters of the environmental equipment are identified using a lookup table method. That is, a matching table between this information and the health status parameters is created in advance, and the corresponding parameters are obtained by directly searching the table when in use.

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

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

[0132] For example, the health status parameter of environmental equipment includes at least one of the degree of deterioration of the environmental equipment over time and the depreciation rate.

[0133] In some embodiments, the degree of deterioration over time or the depreciation rate can be expressed as a percentage. For example, the degree of deterioration over time is 50%, or the depreciation rate is 50%.

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

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

[0136] In this way, we can provide users with rational advice and further improve the user experience.

[0137] In some embodiments, the reference value of the health status parameter is obtained by calculating it based on the initial health status parameter of the environmental equipment, the length of use, the aging degradation coefficient, and the cleanliness degradation rate. For example, the degree of aging degradation is obtained by calculating it according to the following equation 1.

[0138]

number

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

[0140] Figure 17 is a schematic diagram showing the relationship between the equipment replacement value and the degree of deterioration over time according to Embodiment 1 of the present application. As shown in Figure 17, after the degree of deterioration over time reaches 50%, the replacement value rapidly decreases, and after the degree of deterioration over time reaches 100%, the replacement value is at an extremely low level.

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

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

[0143]

number

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

[0145] In this way, users can comprehensively access specific information about the inspection, further improving the user experience.

[0146] In some implementations, when there is a large amount of abnormal information or when abnormal information with a high risk level occurs, alarm information is directly pushed to the user.

[0147] In some embodiments, as shown in Figure 1, the method is The process further includes step 107, in which a cleaning operation is performed on the environmental equipment using the mobile inspection device, and the cleaning operation is included in the inspection report and sent to the user. Step 107 is an optional step and is shown in Figure 1 by a dashed box.

[0148] For example, the mobile inspection device can be used to blow away foreign objects and dust from the outside of the environmental equipment.

[0149] In this way, by making full use of the mobile inspection device, it is possible to perform cleaning functions simultaneously with inspection, further improving the user experience.

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

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

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

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

[0154] In some embodiments, a QR code is printed on the environmental equipment, and the mobile inspection equipment is charged by scanning the QR code.

[0155] In some embodiments, the mobile inspection device is rapidly charged across two environmental devices. For example, the mobile inspection device has multiple NFCs, enabling registration of multiple devices.

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

[0157] As can be seen from the above embodiment, by collecting data on environmental equipment using mobile inspection equipment, generating information on changes at the equipment site based on this data, and identifying environmental equipment health parameters based on the information on changes at the equipment site, equipment operation data, and initial operation time, users can understand the health status of the environmental equipment in a timely manner. This allows 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 environmental equipment, the system combines change information generated from data collected on-site with information such as equipment operating data and operating time. This comprehensively considers various factors that affect the health of the equipment, improving the accuracy of the estimation results and enabling the provision of accurate equipment health information to users.

[0158] <Example 2> Embodiment 2 of the present invention provides an inspection system for environmental equipment, which corresponds to the inspection method for environmental equipment described in Embodiment 1. For specific implementation, refer to the implementation of the method described in Embodiment 1, and avoid repeating descriptions of parts that are the same or relevant.

[0159] Figure 18 is a schematic diagram showing an environmental equipment inspection system according to Embodiment 2 of the present invention. As shown in Figure 18, the environmental equipment inspection system 1800 includes environmental equipment 1801 to be inspected, mobile inspection equipment 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 from the site where the environmental device 1801 is located, and transmits the data to the server 1803. The server 1803 receives data transmitted from the mobile inspection device 1802 and generates site change information for the location of the environmental device 1801 based on the data. The server 1803 also obtains the operating data of the environmental device 1801 and the initial operating time information for the environmental device 1801 from the environmental device 1801 or the cloud. Furthermore, it identifies the health status parameters of the environmental device 1801 based on the site change information for the location of the environmental device 1801, the operating data of the environmental device 1801, and the initial operating time information for the environmental device 1801.

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

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

[0162] In some embodiments, the environmental device 1801 is connectable to a network, thereby enabling communication with the server 1803. In other embodiments, the environmental device 1801 is not connectable to a network, thereby preventing connection with the server 1803.

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

[0164] Furthermore, the control device 1804 can perform additional processing such as payment.

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

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

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

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

[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 be described by referring to the relevant steps in Embodiment 1, and will not be explained again here.

[0171] As can be seen from the above embodiment, by collecting data on environmental equipment using mobile inspection equipment, generating information on changes at the equipment site based on this data, and identifying environmental equipment health parameters based on the information on changes at the equipment site, equipment operation data, and initial operation time, users can understand the health status of the environmental equipment in a timely manner. This allows 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 environmental equipment, the system combines change information generated from data collected on-site with information such as equipment operating data and operating time. This comprehensively considers various factors that affect the health of the equipment, improving the accuracy of the estimation results and enabling the provision of accurate equipment health information to users.

[0172] <Example 3> Embodiment 3 of the present invention provides a mobile inspection device, the specific details of which can be found by referring to the method described in Embodiment 1 and the system described in Embodiment 2, and the same or relevant parts will not be repeated.

[0173] Figure 19 is a schematic diagram showing a mobile inspection device according to Embodiment 3 of the present invention, and as shown in Figure 19, the mobile inspection device 1900 is A drive module 1901 that supplies the driving force to move the mobile inspection equipment, A wireless communication module 1902 that communicates wirelessly with at least one of the control equipment, environmental equipment, and cloud-side server of the mobile inspection equipment, A detection module 1903 including at least one of an imaging module, an infrared imaging module, a vibration sensor, a directional sound sensor, a radar, and an airflow sensor, The system includes a GPS module 1904 for determining 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 embodiment, by collecting data on environmental equipment using mobile inspection equipment, generating information on changes at the equipment site based on this data, and identifying environmental equipment health parameters based on the information on changes at the equipment site, equipment operation data, and initial operation time, users can understand the health status of the environmental equipment in a timely manner. This allows 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 environmental equipment, the system combines change information generated from data collected on-site with information such as equipment operating data and operating time. This comprehensively considers various factors that affect the health of the equipment, improving the accuracy of the estimation results and enabling the provision of accurate equipment health information to users.

[0177] The above-described apparatus and methods according to embodiments of the present invention may be implemented in hardware, or by combining hardware with software. The present invention relates to a computer-readable program that, when executed by a logic component, causes the logic component to implement the above-described apparatus or components, or causes the logic component to implement the above-described various methods or actions.

[0178] Embodiments of the present invention further relate to storage media for storing the above-mentioned programs, such as hard disks, magnetic disks, optical disks, DVDs, flash memory, etc.

[0179] Furthermore, the limitations on each step of this solution do not affect the implementation of the specific solution, nor do they restrict the order of the steps. What is written earlier may be performed first, later, or simultaneously, and as long as the solution can be implemented, it should be considered to fall within the scope of protection of this 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 all 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 invention, and these modifications and amendments also fall within the scope of the present invention.

Claims

1. Collecting data from the site where environmental equipment is located using mobile inspection equipment, Based on the data collected by the aforementioned mobile inspection device, information on changes in the site where the environmental device is located is generated. To acquire the operating data of the said environmental equipment and the initial operating time information of the said environmental equipment, This includes identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, and radar detection data for the environmental equipment and its surroundings, the system detects obstacles outside the environmental equipment and the location of those obstacles. The method is characterized by including generating an obstacle coefficient that indicates the ventilation conditions of the environmental equipment based on the detection results of obstacles outside the environmental equipment and the location of the obstacles, Inspection methods for environmental equipment.

2. Collecting data from the site where environmental equipment is located using mobile inspection equipment, Based on the data collected by the aforementioned mobile inspection device, information on changes in the site where the environmental device is located is generated. To acquire the operating data of the said environmental equipment and the initial operating time information of the said environmental equipment, This includes identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, image data of the condensate drain outlet of the environmental equipment and / or the building drain outlet is obtained. The method is characterized by including generating a drainage coefficient indicating the drainage state of the environmental equipment based on image data of the condensate drain outlet and / or building drain outlet of the environmental equipment. Inspection methods for environmental equipment.

3. Collecting data from the site where environmental equipment is located using mobile inspection equipment, Based on the data collected by the aforementioned mobile inspection device, information on changes in the site where the environmental device is located is generated. To acquire the operating data of the said environmental equipment and the initial operating time information of the said environmental equipment, This includes identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: The method is characterized by generating an installation stability coefficient indicating the installation state of the environmental equipment based on at least one of the following: operating information of the vibration generating member within the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment. Inspection methods for environmental equipment.

4. Collecting data from the site where environmental equipment is located using mobile inspection equipment, Based on the data collected by the aforementioned mobile inspection device, information on changes in the site where the environmental device is located is generated. To acquire the operating data of the said environmental equipment and the initial operating time information of the said environmental equipment, This includes identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on infrared image data of the environmental equipment and its surroundings collected by the mobile inspection device, the temperature near the environmental equipment and the temperature of the surface of the environmental equipment are determined. The method is characterized by including generating a fire risk coefficient indicating the fire risk of the environmental device based on the temperature collected by the sensor of the environmental device and / or the temperature near the environmental device and the surface temperature of the environmental device, which are identified based on the infrared image data, Inspection methods for environmental equipment.

5. Collecting data from the site where environmental equipment is located using mobile inspection equipment, Based on the data collected by the aforementioned mobile inspection device, information on changes in the site where the environmental device is located is generated. To acquire the operating data of the said environmental equipment and the initial operating time information of the said environmental equipment, This includes identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, the frost condition of the environmental equipment is identified. The method is characterized by including generating a refrigerant leakage coefficient that indicates the risk of refrigerant leakage of the environmental equipment based on the frost accumulation state of the environmental equipment. Inspection methods for environmental equipment.

6. The data collected by the mobile inspection device is characterized in that it includes at least one of the following: image data of the environmental device and its surroundings; radar detection data for the environmental device and its surroundings; vibration data of the environmental device; audio data of the environmental device; airflow data of the environmental device; and infrared image data of the environmental device and its surroundings. The method according to any one of claims 1 to 5.

7. Using the aforementioned mobile inspection equipment to collect data from the site where the environmental equipment is located is, The mobile inspection equipment moves near the environmental equipment and / or stops on the said environmental equipment, The mobile inspection device is characterized by including the collection of data from the site where the environmental device is located. The method according to any one of claims 1 to 5.

8. The mobile inspection device moving near the environmental equipment and / or stopping on the environmental equipment is, The mobile inspection device obtains location information of the environmental device and / or user address information from the cloud or database, The mobile inspection device is characterized by moving near the environmental equipment and / or stopping at the environmental equipment based on the location information and / or address information, The method according to claim 7.

9. The mobile inspection device moving near the environmental equipment and / or stopping on the environmental equipment is, The mobile inspection device searches within a certain area based on the location information and / or address information to identify the location of the environmental equipment. The mobile inspection device is characterized by moving near the environmental equipment and / or stopping at the environmental equipment based on the location of the environmental equipment identified by the search, The method according to claim 8.

10. The mobile inspection device further includes transmitting the location of the environmental equipment identified by the search to the cloud or a database to update the location of the environmental equipment, The method according to claim 9.

11. The environmental equipment further includes wirelessly charging the mobile inspection equipment, characterized in that The method according to claim 7.

12. The aforementioned obstacles are characterized by including branches, leaves, miscellaneous objects, and other environmental equipment. The method according to claim 1.

13. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: The system is characterized by including inputting the data collected by the mobile inspection device into a model and outputting information about changes at the site where the environmental device is located. The method according to any one of claims 1 to 5.

14. Inputting the data collected by the aforementioned mobile inspection device into the model and outputting information about changes at the site where the environmental device is located is, This is characterized by including inputting different types of data collected by the aforementioned mobile inspection device into corresponding different models and outputting corresponding change information. The method according to claim 13.

15. The mobile inspection device further includes transmitting the collected data to a server on the cloud side, thereby enabling the server to generate information about changes in the site where the environmental device is located based on the collected data. The method according to any one of claims 1 to 5.

16. Acquiring the operating data of the aforementioned environmental equipment and the initial operating time information of the aforementioned environmental equipment is, To acquire the operating data of the aforementioned environmental equipment within a predetermined time period or real-time operating data, The method is characterized by including: acquiring labeling information for the environmental equipment based on the equipment nameplate in the image captured by the mobile inspection device, or based on cloud-side data; and acquiring initial operating time information for the environmental equipment based on the labeling information for the environmental equipment. The method according to any one of claims 1 to 5.

17. Identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment is: The method is characterized by inputting information on changes at the site where the environmental equipment is located, operating data of the environmental equipment, and information on the initial operating time of the environmental equipment into a model, calculating and outputting health status parameters of the environmental equipment. The method according to any one of claims 1 to 5.

18. The aforementioned model is characterized by being a model based on a fully connected neural network. The method according to claim 17.

19. Identifying the health status parameters of the environmental equipment based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment is: The method is characterized by identifying the health status parameters of the environmental equipment by a table lookup method based on change information at the site where the environmental equipment is located, operating data of the environmental equipment, and initial operating time information of the environmental equipment. The method according to any one of claims 1 to 5.

20. The health status parameter of the environmental equipment is characterized by including at least one of the degree of deterioration of the environmental equipment over time and the depreciation rate. The method according to any one of claims 1 to 5.

21. The further comprising providing the user with a maintenance or replacement policy for the environmental equipment based on identified health status parameters of the environmental equipment and reference values ​​for the health status parameters, The method according to any one of claims 1 to 5.

22. The reference value of the health status parameter is obtained by calculating it based on the initial health status parameter of the environmental equipment, the length of use, the aging degradation coefficient, and the cleanliness degradation rate, characterized in that The method according to claim 21.

23. The replacement policy for the aforementioned environmental equipment is characterized by including a visible relationship between the equipment replacement value and health status parameters. The method according to claim 21.

24. The system further comprises generating and transmitting an inspection report to the user based on the identified health status parameters of the environmental equipment, The method according to any one of claims 1 to 5.

25. The mobile inspection device is used to perform cleaning work on the environmental equipment, and the cleaning work is included in the inspection report and transmitted to the user, further comprising these steps. The method according to claim 24.

26. The method further includes selecting at least one environmental device as a charging station from among the environmental devices to be inspected and other environmental devices along the travel path of the mobile inspection device, and charging the mobile inspection device. The method according to any one of claims 1 to 5.

27. The aforementioned environmental equipment is characterized by including an air conditioner outdoor unit. The method according to any one of claims 1 to 5.

28. The mobile inspection device is characterized in that it is a drone or an airship. The method according to any one of claims 1 to 5.

29. This includes environmental equipment to be inspected, mobile inspection equipment, and cloud-based servers. The mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data from 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 at the site where the environmental device is located based on the data. The server also obtains the operating data of the environmental device and the initial operating time information of the environmental device from the environmental device or the cloud. Furthermore, based on the change information at 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, the server identifies the health status parameters of the environmental device. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, and radar detection data for the environmental equipment and its surroundings, the system detects obstacles outside the environmental equipment and the location of those obstacles. The method is characterized by including generating an obstacle coefficient that indicates the ventilation conditions of the environmental equipment based on the detection results of obstacles outside the environmental equipment and the location of the obstacles, Inspection system for environmental equipment.

30. This includes environmental equipment to be inspected, mobile inspection equipment, and cloud-based servers. The mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data from 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 at the site where the environmental device is located based on the data. The server also obtains the operating data of the environmental device and the initial operating time information of the environmental device from the environmental device or the cloud. Furthermore, based on the change information at 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, the server identifies the health status parameters of the environmental device. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, image data of the condensate drain outlet of the environmental equipment and / or the building drain outlet is obtained. The method is characterized by including generating a drainage coefficient indicating the drainage state of the environmental equipment based on image data of the condensate drain outlet and / or building drain outlet of the environmental equipment. Inspection system for environmental equipment.

31. This includes environmental equipment to be inspected, mobile inspection equipment, and cloud-based servers. The mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data from 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 at the site where the environmental device is located based on the data. The server also obtains the operating data of the environmental device and the initial operating time information of the environmental device from the environmental device or the cloud. Furthermore, based on the change information at 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, the server identifies the health status parameters of the environmental device. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: The method is characterized by generating an installation stability coefficient indicating the installation state of the environmental equipment based on at least one of the following: operating information of the vibration generating member within the environmental equipment, vibration data of the environmental equipment collected by the mobile inspection device, and audio data of the environmental equipment. Inspection system for environmental equipment.

32. This includes environmental equipment to be inspected, mobile inspection equipment, and cloud-based servers. The mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data from 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 at the site where the environmental device is located based on the data. The server also obtains the operating data of the environmental device and the initial operating time information of the environmental device from the environmental device or the cloud. Furthermore, based on the change information at 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, the server identifies the health status parameters of the environmental device. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on infrared image data of the environmental equipment and its surroundings collected by the mobile inspection device, the temperature near the environmental equipment and the temperature of the surface of the environmental equipment are determined. The method is characterized by including generating a fire risk coefficient indicating the fire risk of the environmental device based on the temperature collected by the sensor of the environmental device and / or the temperature near the environmental device and the surface temperature of the environmental device, which are identified based on the infrared image data, Inspection system for environmental equipment.

33. This includes environmental equipment to be inspected, mobile inspection equipment, and cloud-based servers. The mobile inspection device moves near the environmental equipment and / or stops at the environmental equipment, collects data from 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 at the site where the environmental device is located based on the data. The server also obtains the operating data of the environmental device and the initial operating time information of the environmental device from the environmental device or the cloud. Furthermore, based on the change information at 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, the server identifies the health status parameters of the environmental device. The aforementioned change information includes at least one of the following: the ventilation conditions of the environmental equipment, the drainage condition, the mounting condition of the environmental equipment, the risk of fire of the environmental equipment, and the risk of refrigerant leakage. Based on the data collected by the aforementioned mobile inspection device, generating information on changes in the site where the environmental device is located is: Based on the image data of the environmental equipment and its surroundings collected by the mobile inspection device, the frost condition of the environmental equipment is identified. The method is characterized by including generating a refrigerant leakage coefficient that indicates the risk of refrigerant leakage of the environmental equipment based on the frost accumulation state of the environmental equipment. Inspection system for environmental equipment.

34. The server further provides the user with a maintenance or update policy for the environmental equipment based on the identified health status parameters of the environmental equipment and the reference values ​​of the health status parameters. The system according to any one of claims 29 to 33.

35. The server further generates and transmits an inspection report to the user based on the identified health status parameters of the environmental equipment. The system according to any one of claims 29 to 33.

36. The mobile inspection device is further characterized by including a control device that controls the movement, operation, and charging of the mobile inspection device. The system according to any one of claims 29 to 33.

37. The control device is characterized by selecting at least one environmental device as a charging station from among the environmental device to be inspected and other environmental devices along the travel path of the mobile inspection device, and charging the mobile inspection device. The system according to claim 36.

38. The aforementioned environmental equipment is characterized by including an air conditioner outdoor unit. The system according to any one of claims 29 to 33.

39. The environmental equipment further includes a charging device provided on the outdoor unit of the air conditioner, The system according to claim 38.

40. The air conditioner outdoor unit is provided with a two-dimensional code, and the mobile inspection device scans the two-dimensional code, thereby charging the mobile inspection device using the charging device on the air conditioner outdoor unit. The system according to claim 39.

41. The mobile inspection device is characterized in that it is a drone or an airship. The system according to any one of claims 29 to 33.

42. A mobile inspection device according to any one of claims 1 to 5 or 29 to 33, A drive module that supplies the driving force to move the mobile inspection equipment, A wireless communication module that communicates wirelessly with at least one of the control equipment, environmental equipment, and cloud-side server of the aforementioned mobile inspection equipment, 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 an airflow sensor, A GPS module that identifies the location of the mobile inspection device, characterized in that it includes Mobile inspection equipment.

43. The wireless communication module is characterized by including at least one of a Bluetooth® module, an NFC module, and a 2.4G module. The mobile inspection device according to claim 42.

44. The mobile inspection device is characterized in that it is a drone or an airship. The mobile inspection device according to claim 42.

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