Building equipment fault management method and system, terminal and storage medium

Abstract

The invention relates to a building equipment fault management method and system, a terminal and a storage medium, and relates to the field of building management technology, and the method comprises the steps: obtaining a fire-fighting image of fire-fighting equipment; judging whether the fire-fighting equipment has aging characteristics or not according to the fire-fighting image; when the aging characteristics exist on the fire fighting equipment, determining an aging area based on the aging characteristics; when the aging area exceeds a preset equipment working interval, determining a fire-fighting position according to the fire-fighting image; matching a fire-fighting number, an installation date and an effective duration from a preset fire-fighting installation database according to the fire-fighting position, and obtaining a current date; determining the installation duration according to the current date and the installation date; when the installation duration does not exceed the effective duration, a preset warning device is controlled to give an equipment aging warning according to the fire-fighting position and the fire-fighting number; and when the installation duration exceeds the effective duration, a preset warning device is controlled to give an equipment failure warning. The building intelligent management system has the effect of improving the use stability of the building intelligent management system.

Description

Technical Field

[0001] The present invention relates to the field of building management technology, and in particular to a building equipment fault management method, system, terminal and storage medium. Background Art

[0002] Building intelligent management system refers to a system that integrates computer technology, network communication, automatic control and energy-saving technology to centrally monitor, automate control and optimize management of various electromechanical equipment in a building.

[0003] In the existing technology, building intelligent management systems are generally used to achieve intelligent interconnection and efficient coordination of building equipment such as air conditioning, lighting, security, fire protection, and elevators, making the management and operation of buildings more accurate and efficient. Building intelligent management systems not only improve the efficiency, safety, and comfort of buildings, but also promote efficient use of energy and environmental protection.

[0004] Building equipment tends to age over time during use. When the aging degree of building equipment is too high, it is easy for the building equipment to have difficulty coordinating with the building intelligent management system to control the building, which in turn causes the building intelligent management system to fail. Summary of the invention

[0005] In order to improve the stability of the use of a building intelligent management system and reduce the aging of building equipment, the present invention provides a building equipment fault management method, system, terminal and storage medium.

[0006] In a first aspect, the present invention provides a building equipment fault management method, system, terminal and storage medium, which adopt the following technical solutions: A building equipment fault management method, comprising: Obtain firefighting images of firefighting equipment; Determine whether there are aging features on firefighting equipment based on firefighting images; When there are aging features on the fire-fighting equipment, the aging area is determined based on the aging features; When the aging area exceeds the preset equipment working range, the fire fighting position is determined according to the fire fighting image; According to the fire location, the fire number, installation date and effective time are matched from the preset fire installation database, and the current date is obtained; Determine the installation duration based on the current date and the installation date; When the installation time does not exceed the effective time, the preset warning device will be controlled according to the fire location and fire number to issue an equipment aging warning; When the installation time exceeds the effective time, the preset warning device is controlled according to the fire location and fire number to issue an equipment failure warning.

[0007] By adopting the above technical solution, it is possible to judge whether the fire-fighting equipment is aged from its appearance, thereby checking the installation information of the fire-fighting equipment that is aged, and further judging whether the fire-fighting equipment is effective or working normally. When the fire-fighting equipment fails or works overtime, a warning is issued through a warning device to facilitate the building management personnel to maintain the fire-fighting equipment, reduce the aging of the fire-fighting equipment, and improve the stability of the use of the building intelligent management system.

[0008] Optionally, also include: When there are aging features on the fire equipment, the equipment type is matched from the preset fire equipment database according to the fire number; Determine the important location intervals and their corresponding fault thresholds based on the equipment type, and determine the aging area based on the aging characteristics; When the aging area falls into the important position interval, the fault area is determined based on the aging area and the important position interval; When the fault area exceeds the fault threshold, the preset warning device is controlled according to the fire location and fire number to issue an equipment fault warning.

[0009] By adopting the above technical solution, when important components of fire-fighting equipment are aged, it is easy for the fire-fighting equipment to find it difficult to complete its own work. It is possible to judge whether its important components are aging from the appearance of the fire-fighting equipment, and then issue a warning through the warning device when the degree of aging of important components of the fire-fighting equipment is high.

[0010] Optionally, a fault detection method is also included, and the fault detection method includes: When the device type is a temperature sensing device, obtain the building location; Matching weather data from a preset weather database based on building location; Determine the predicted temperature based on meteorological data and firefighting location, and control the preset firefighting equipment to obtain the actual temperature; Calculate the difference between the predicted temperature and the actual temperature and define it as the temperature error; When the temperature error exceeds the preset detection error range, the preset warning device is controlled according to the fire position and fire number to issue a detection error warning.

[0011] By adopting the above technical solution, the predicted temperature value and the temperature value detected by the temperature sensing device are compared to determine the accuracy of the temperature value detected by the temperature sensing device, so that a warning is issued through the warning device when the detection error of the temperature sensing device is large.

[0012] Optionally, the fault detection method further includes: When the temperature error does not exceed the preset detection error range, the sprinkler number is matched according to the fire location and the test time is obtained; Control the preset sprinkler equipment according to the sprinkler number to spray according to the preset test water volume; Determine the change temperature range according to the actual temperature and the preset test water volume, and control the preset fire-fighting equipment to obtain the test temperature; When the test temperature falls into the change temperature range, the change time is obtained; Calculate the difference between the change time and the test time and define it as the reaction time; When the reaction time exceeds the preset temperature reaction range, the preset warning device is controlled according to the fire position and fire number to issue a detection error warning.

[0013] By adopting the above technical solution, water is sprayed through the sprinkler device to lower the room temperature, so as to read the temperature value detected by the temperature sensing device, and judge the response speed of the temperature sensing device according to the temperature value, and then issue a warning through the warning device when the response speed of the temperature sensing device is too slow.

[0014] Optionally, a fault handling method is also included, and the fault handling method includes: When the reaction time exceeds the preset temperature reaction range, it is determined whether there is a foreign object at the probe of the fire-fighting equipment based on the fire-fighting image; When there is a foreign object at the probe of the fire-fighting equipment, the location of the foreign object is identified according to the fire-fighting equipment; Match the cleaning itinerary according to the location of foreign matter; According to the cleaning schedule, the preset UAV is controlled to fly to the probe of the fire-fighting equipment, and the blowing device preset on the UAV is controlled to blow air toward the probe of the fire-fighting equipment.

[0015] By adopting the above technical solution, when there is foreign matter at the probe of the temperature sensing device, it is easy to cause the response speed of the temperature sensing device to be too slow. By blowing air to the probe of the temperature sensing device through the blowing device, the foreign matter at the probe is blown away, thereby improving the response speed of the temperature sensing device.

[0016] Optionally, a label replacement method is also included, and the label replacement method includes: When there are aging features on the firefighting equipment, the label position is determined based on the firefighting image; Match the detection itinerary according to the tag position; Control the preset drone to obtain the label image according to the detection itinerary; Judging whether the text on the label is clear based on the label image; When the text on the label is unclear, the fire parameters are matched from the preset fire equipment database according to the fire number; Generate tag information based on fire protection parameters and match the posting itinerary based on the tag location; According to the label information, a preset printing device is controlled to generate a replacement label, and according to the posting itinerary, a preset drone is controlled to post the replacement label to the label position.

[0017] By adopting the above technical solution, when the fire-fighting equipment is aged, the labels on the equipment are easily contaminated, resulting in the inability of personnel to read the various parameters of the fire-fighting equipment when using it. New labels are printed by a printing device, and the new labels are posted on the fire-fighting equipment by drones to replace the contaminated labels.

[0018] Optionally, the label replacement method further includes: When the text on the label is unclear, determine the type of glue based on the label image; Determine the peeling temperature according to the type of glue; Match the peeling stroke according to the label position; According to the stripping stroke, the heating device preset on the drone is controlled to heat the label preset on the fire-fighting equipment according to the stripping temperature, and the removal device preset on the drone is controlled to remove the label preset on the fire-fighting equipment.

[0019] By adopting the above technical solution, before posting a new label, the contaminated label is heated by a heating device, thereby reducing the connection strength between the contaminated label and the fire-fighting equipment, and then the contaminated label is removed by a removal device.

[0020] In a second aspect, the present application provides a building equipment fault management system, which adopts the following technical solution: A building equipment fault management system, comprising: An acquisition module is used to acquire firefighting images, current date, building location, actual temperature, test time, test temperature, change time and label images; A memory, used to store a program of any one of the above-mentioned building equipment fault management methods; The program in the processor and the memory can be loaded and executed by the processor to implement any of the above-mentioned building equipment fault management methods.

[0021] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution: An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any one of the above-mentioned building equipment fault management methods.

[0022] In a fourth aspect, the present application provides a computer storage medium capable of storing corresponding programs, which is convenient for implementing a building equipment fault management method, and adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the above-mentioned building equipment fault management methods.

[0023] By adopting the above technical solution, it is possible to judge whether the fire-fighting equipment is aged from its appearance, thereby checking the installation information of the fire-fighting equipment that is aged, and further judging whether the fire-fighting equipment is effective or working normally. When the fire-fighting equipment fails or works overtime, a warning is issued through a warning device to facilitate the building management personnel to maintain the fire-fighting equipment, reduce the aging of the fire-fighting equipment, and improve the stability of the use of the building intelligent management system.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. Determine whether the fire-fighting equipment is aged from its appearance, and check the installation information of the aged fire-fighting equipment to determine whether the fire-fighting equipment is effective or working properly. When the fire-fighting equipment fails or works overtime, the warning device will issue a warning to facilitate the building management personnel to maintain the fire-fighting equipment, reduce the aging of the fire-fighting equipment, and improve the stability of the use of the building intelligent management system; 2. When the important parts of the fire-fighting equipment are aged, it is easy for the fire-fighting equipment to be unable to complete its work. It is possible to judge whether the important parts of the fire-fighting equipment are aged from the appearance of the fire-fighting equipment, so that a warning device can be used to issue a warning when the degree of aging of the important parts of the fire-fighting equipment is high; 3. Spray water through the sprinkler device to lower the room temperature, so as to read the temperature value detected by the temperature sensing device, and judge the response speed of the temperature sensing device according to the temperature value, and then issue a warning through the warning device when the response speed of the temperature sensing device is too slow. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a process of building equipment fault management method Figure 1 ; Figure 2 It is a process of building equipment fault management method Figure 2 ; Figure 3 This is the process of the fault detection method Figure 1 ; Figure 4 This is the process of the fault detection method Figure 2 ; Figure 5 It is a flow chart of the troubleshooting method; Figure 6 This is the process of label replacement method Figure 1 ; Figure 7 This is the process of label replacement method Figure 2 . DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0027] The embodiments of the present application disclose a method, system, terminal and storage medium for managing building equipment faults. The present invention is used to determine whether the fire-fighting equipment in a building is aged based on its appearance, so that building management personnel can promptly perform maintenance on the equipment when it is aged, and regularly check the working condition of the temperature sensing device to ensure the stability of the use of the building intelligent management system.

[0028] Reference Figure 1 , a building equipment fault management method, comprising the following steps: Step 100: Acquire a firefighting image of firefighting equipment.

[0029] Firefighting equipment refers to the equipment that constitutes the firefighting system in a building. Firefighting equipment includes portable fire-fighting equipment, sprinkler equipment, temperature sensing equipment, humidity sensing equipment, etc. Firefighting images are pictures of firefighting equipment. Firefighting images can be obtained through cameras. The method of obtaining firefighting images is selected by the staff based on actual conditions and will not be elaborated here.

[0030] Step 101: Determine whether there are aging features on the firefighting equipment based on the firefighting image.

[0031] Aging features refer to features that are prone to appear when equipment ages, such as cracking, yellowing, and rust. The aging feature recognition model can be used to identify firefighting images to determine whether aging features exist on the firefighting equipment. The aging feature recognition model refers to a neural network model obtained through sample training in advance.

[0032] Step 102: When there are aging features on the fire-fighting equipment, determine the aging area based on the aging features.

[0033] The presence of aging features on fire-fighting equipment indicates that the fire-fighting equipment is aging. The aging area is the area of ​​the region where the aging features exist on the fire-fighting equipment. The aging area can be obtained through an aging area recognition model. The aging area recognition model refers to a neural network model obtained in advance through sample training.

[0034] Step 103: When the aging area exceeds the preset equipment working range, the fire fighting position is determined according to the fire fighting image.

[0035] The equipment working range refers to the aging area range where the aging degree of fire-fighting equipment is relatively low. The equipment working range is selected by the staff according to the actual situation and will not be elaborated here. If the aging area exceeds the equipment working range, it means that the aging degree of fire-fighting equipment is relatively high, which may cause the fire-fighting equipment to be difficult to work normally.

[0036] The firefighting position refers to the coordinate point where the firefighting equipment is located. The firefighting position can be obtained by identifying the firefighting position recognition model. The firefighting position recognition model refers to a neural network model obtained in advance through sample training.

[0037] Step 104: Match the fire number, installation date and validity period from the preset fire installation database according to the fire location, and obtain the current date.

[0038] The fire number refers to the number used to distinguish fire-fighting equipment. The fire number corresponds to the fire-fighting equipment one by one. The installation date refers to the date on which the fire-fighting equipment is installed. The effective period refers to the length of time that the fire-fighting equipment can work normally from the installation date.

[0039] The fire installation database refers to a database that records installation information such as the fire number, installation date, effective duration and fire location. After the fire equipment is installed, the management personnel will enter the installation information corresponding to the fire equipment into the fire installation database to facilitate the management of the fire equipment.

[0040] The current date refers to the actual date. The current date can be obtained through the timer. The method of obtaining the current date is selected by the staff according to the actual situation, so it will not be described here. Step 105: Determine the installation duration based on the current date and the installation date.

[0041] Installation time refers to the length of time that has passed from the current time to the installation date.

[0042] Step 106: When the installation time does not exceed the effective time, the preset warning device is controlled according to the fire location and fire number to issue an equipment aging warning.

[0043] The warning device refers to a device used to remind building managers. The warning device is selected by the staff according to the actual situation and will not be described in detail here. If the installation time does not exceed the effective time, it means that the fire-fighting equipment can still work normally. At this time, the warning device is used to notify the building managers that the fire-fighting equipment with the fire-fighting number at the fire-fighting location is aging, so as to facilitate the building managers to maintain the fire-fighting equipment. The equipment aging warning is the warning issued by the warning device.

[0044] Step 107: When the installation time exceeds the effective time, the preset warning device is controlled according to the fire location and fire number to issue an equipment failure warning.

[0045] If the installation time exceeds the effective time, it means that the fire-fighting equipment cannot work normally. At this time, the alarm device will be used to notify the building management personnel that the fire-fighting equipment with the fire-fighting number at the fire-fighting location has failed, so as to facilitate the building management personnel to replace the fire-fighting equipment. The equipment failure warning is the warning issued by the alarm device.

[0046] Reference Figure 2 , a building equipment fault management method also includes the following steps: Step 108: When there are aging features on the fire-fighting equipment, the equipment type is matched from a preset fire-fighting equipment database according to the fire-fighting number.

[0047] The equipment types refer to the types of fire-fighting equipment such as portable fire-fighting equipment, sprinkler equipment, temperature sensing equipment, and humidity sensing equipment. The fire-fighting equipment database refers to a database that records the fire-fighting numbers and equipment types in advance.

[0048] Step 109: Determine the important location interval and its corresponding fault threshold according to the device type, and determine the aging area based on the aging characteristics.

[0049] The important position interval refers to the area of ​​components that play an important role on the fire-fighting equipment, such as the handle and nozzle of the portable fire-fighting equipment and the probe position of the temperature sensing equipment. The fault threshold refers to the maximum aging area value allowed in the important position interval under the premise that the fire-fighting equipment is working normally. The important position interval and fault threshold are selected by the staff according to the actual situation and will not be elaborated here.

[0050] The aging area refers to the area on the fire-fighting equipment that has aging characteristics. The aging area can be identified by an aging area identification model. The aging area identification model refers to a neural network model obtained in advance through sample training.

[0051] Step 110: When the aging area falls into the important position interval, the fault area is determined according to the aging area and the important position interval.

[0052] The aging area falling into the important position interval indicates that there is overlap between the aging area and the important position interval. The fault area is the area of ​​the overlap between the aging area and the important position interval. The fault area can be calculated by a fault area recognition model. The fault area recognition model refers to a neural network model obtained in advance through sample training.

[0053] Step 111: When the fault area exceeds the fault threshold, the preset warning device is controlled to issue an equipment fault warning according to the fire location and fire number.

[0054] The fault area exceeds the fault threshold, which means that the aging degree of the important position interval of the fire-fighting equipment is too high, and the fire-fighting equipment is prone to failure. At this time, the alarm device is used to notify the building management personnel of the high aging degree of the important position interval, so as to facilitate the building management personnel to carry out maintenance. The equipment failure warning is the warning issued by the alarm device.

[0055] Reference Figure 3 , the fault detection method comprises the following steps: Step 200: When the device type is a temperature sensing device, obtain the building location.

[0056] Temperature sensing equipment refers to one of the equipment used to build a building fire protection system. Temperature sensing equipment is used to detect the temperature in the building. The temperature sensing equipment is selected by the staff according to the actual situation and will not be described in detail here. Building location refers to the location of the building where the fire protection equipment is located. The method for obtaining the building location is selected by the staff according to the actual situation and will not be described in detail here.

[0057] Step 201: Matching meteorological data from a preset meteorological database according to the building location.

[0058] Meteorological data refers to a collection of data on weather changes such as temperature and humidity in a region. A meteorological database refers to a database that records meteorological data for various regions. Meteorological data for building locations is matched from the meteorological database.

[0059] Step 202: Determine the predicted temperature based on the meteorological data and the firefighting location, and control the preset firefighting equipment to obtain the actual temperature.

[0060] The predicted temperature refers to the ground temperature of the building location extracted from the meteorological data, and then the temperature value predicted according to the height of the fire location. The method of obtaining the predicted temperature is common knowledge in this field and will not be described in detail here. The actual temperature refers to the temperature value obtained by the temperature sensing device. The method of obtaining the actual temperature is selected by the staff according to the actual situation and will not be described in detail here.

[0061] Step 203: Calculate the difference between the predicted temperature and the actual temperature and define it as the temperature error.

[0062] Temperature error is the difference between the actual detected temperature and the predicted temperature.

[0063] Step 204: When the temperature error exceeds a preset detection error interval, a preset warning device is controlled to issue a detection error warning according to the fire location and fire number.

[0064] The detection error interval refers to the allowable temperature detection error range. The detection error interval is selected by the staff according to the actual situation and will not be elaborated here. If the temperature error exceeds the detection error interval, it means that the difference between the actual detected temperature and the predicted temperature is too large, that is, the actual temperature value is unreliable. At this time, the warning device will be used to remind the building management personnel that the temperature sensing equipment has failed to facilitate the maintenance of the building management personnel. The detection error warning is the warning issued by the warning device.

[0065] Reference Figure 4 , the fault detection method further comprises the following steps: Step 205: When the temperature error does not exceed the preset detection error interval, the sprinkler number is matched according to the fire location and the test time is obtained.

[0066] The temperature error does not exceed the detection error range, which means that the difference between the actual detected temperature and the predicted temperature is small, that is, the actual temperature value is more reliable.

[0067] Sprinkler equipment refers to one of the equipment used to build a building fire protection system. Sprinkler equipment is used to transport clean water to each nozzle and spray clean water in the building through the nozzle. Sprinkler numbers refer to the numbers set in advance to distinguish the nozzles of the sprinkler device. Sprinkler numbers correspond to the nozzles of the sprinkler equipment one by one. Sprinkler equipment and its sprinkler numbers are selected by the staff according to the actual situation, so they will not be described here. According to the fire location, the sprinkler numbers of the nozzles located in the area around the fire location are matched.

[0068] The test time refers to the moment before the sprinkler sprays. The test time can be obtained through a timer. The method for obtaining the test time is selected by the staff according to the actual situation and will not be elaborated here.

[0069] Step 206: Control the preset sprinkler equipment according to the sprinkler number to spray according to the preset test water volume.

[0070] The test water volume refers to the pre-set volume of clean water sprayed by the sprinkler equipment. The test water volume is selected by the staff according to the actual situation and will not be described here. The clean water is sprayed around the fire-fighting equipment through the sprinkler equipment to reduce the temperature around the fire-fighting equipment.

[0071] Step 207: Determine the temperature range to be changed according to the actual temperature and the preset test water volume, and control the preset fire-fighting equipment to obtain the test temperature.

[0072] Changes to the temperature range calculation method include ,in is the required temperature change value, is the water vapor partial pressure, Through experimental pre-testing, is the molar mass of water vapor, generally , is the universal gas constant, generally used , It is the ambient water vapor content, which can be obtained by querying meteorological data. After the change temperature value is calculated, the change temperature interval is obtained according to the preset error range, where the error range refers to the allowable temperature error range. The error range is selected by the staff according to the actual situation and will not be elaborated here.

[0073] The test temperature refers to the temperature value obtained by controlling the temperature sensing equipment after spraying clean water through the sprinkler. The method for obtaining the test temperature is selected by the staff according to the actual situation and will not be elaborated here.

[0074] Step 208: When the test temperature falls into the change temperature interval, the change time is obtained.

[0075] The test temperature falling into the change temperature range represents that the temperature sensing device detects the real-time temperature. The change time refers to the moment when the temperature sensing device detects the real-time temperature. The method for obtaining the change time is selected by the staff according to the actual situation and will not be elaborated here.

[0076] Step 209: Calculate the difference between the change time and the test time, and define it as the reaction time.

[0077] Reaction time refers to the time it takes for a temperature sensing device to detect a temperature change.

[0078] Step 210: When the reaction time exceeds the preset temperature reaction interval, the preset warning device is controlled to issue a detection error warning according to the fire location and fire number.

[0079] The temperature response interval refers to the time interval from the temperature change to the detection of temperature change by the temperature sensing equipment required by fire protection. The temperature response interval is selected by the staff based on actual conditions and will not be elaborated here.

[0080] A building fire protection system generally includes a variety of sensor devices such as temperature sensing devices and humidity sensing devices. The building fire protection system works together with a variety of sensor devices to determine whether there are fire hazards in the building. The reaction time exceeds the temperature reaction range, which means that the reaction time of the temperature sensing device is too long, which may easily lead to the building fire protection system being unable to obtain the temperature information in the building in real time, making it difficult for the building fire protection system to respond in time when a fire occurs.

[0081] Reference Figure 5 , the troubleshooting method includes the following steps: Step 300: When the reaction time exceeds the preset temperature reaction interval, determine whether there is a foreign object at the probe of the fire-fighting equipment according to the fire-fighting image.

[0082] Temperature sensing equipment generally includes a main body and a probe. The temperature sensing equipment obtains the physical quantity of temperature in the environment through the probe and analyzes the temperature value of the environment through the main body. When there is foreign matter on the probe, it is easy for the probe of the temperature sensing equipment to be unable to directly contact the environment, thereby causing the temperature sensing equipment to react too long. Foreign matter refers to objects such as dust and plastic that block the probe of the temperature sensing equipment. The foreign matter recognition model can be used to determine whether there is foreign matter at the probe of the fire-fighting equipment. The foreign matter recognition model refers to a neural network model obtained through sample training in advance.

[0083] Step 301: When there is a foreign object at the probe of the fire-fighting equipment, the location of the foreign object is identified according to the fire-fighting equipment.

[0084] The foreign object position refers to the position of the foreign object on the fire-fighting equipment. The foreign object position can be obtained through a foreign object position matching model. The foreign object position matching model refers to a neural network model obtained in advance through sample training.

[0085] Step 302: Match the cleaning process according to the location of the foreign matter.

[0086] A drone refers to an unmanned device that is pre-installed for managing building equipment. A blowing device refers to a device installed on a drone for blowing air to the probe to remove foreign matter. The drone and the blowing device are selected by the staff according to the actual situation and will not be described in detail here. A cleaning trip refers to a trip in which a drone carries a blowing device to the location of a foreign matter and blows the foreign matter away with the blowing device. The cleaning trip can be obtained through a cleaning trip matching model, which refers to a neural network model obtained through sample training in advance.

[0087] Step 303: Control the preset drone to fly to the probe of the fire-fighting equipment according to the cleaning schedule, and control the blowing device preset on the drone to blow air toward the probe of the fire-fighting equipment.

[0088] By collaborating with drones and blowing devices, foreign objects can be blown away from fire-fighting equipment, thereby reducing the insensitivity of fire-fighting equipment.

[0089] Reference Figure 6 , the label replacement method includes the following steps: Step 400: When there are aging features on the firefighting equipment, determine the tag position according to the firefighting image.

[0090] The label position refers to the position of the label on the fire-fighting equipment, wherein the label refers to the paper posted on the fire-fighting equipment with various parameter information of the fire-fighting equipment annotated on it. The label position can be obtained by identifying the label position matching model, and the label position matching model refers to the neural network model obtained in advance through sample training.

[0091] Step 401: Match the detection itinerary according to the tag position.

[0092] The detection itinerary refers to the path that the UAV flies to the tag location. The detection itinerary can be obtained through the detection itinerary matching model. The detection itinerary matching model refers to a neural network model obtained in advance through sample training.

[0093] Step 402: Control a preset drone to obtain a label image according to the detection itinerary.

[0094] The label image refers to the picture of the label on the fire-fighting equipment. The label image can be obtained through the camera on the drone. The method of obtaining the label image is selected by the staff according to the actual situation and will not be elaborated here.

[0095] Step 403: Determine whether the text on the label is clear based on the label image.

[0096] Whether the text on the label is clear can be determined through a text recognition model, which refers to a neural network model obtained through sample training in advance.

[0097] Step 404: When the text on the label is unclear, the fire parameters are matched from a preset fire equipment database according to the fire number.

[0098] The fire equipment database refers to a database that records the fire numbers of fire equipment and their corresponding equipment parameter information. The fire parameters are the equipment parameter information corresponding to the fire numbers matched from the fire equipment database.

[0099] Step 405: Generate tag information according to the fire protection parameters, and match the posting itinerary according to the tag position.

[0100] Label information refers to information that classifies and partitions fire protection parameters for easy understanding by personnel. Label information can be obtained through a label information matching model. The label information matching model refers to a neural network model obtained in advance through sample training.

[0101] The posted itinerary refers to the path taken by the drone to reach the tag location. The posted itinerary can be obtained through a posted itinerary matching model. The posted itinerary matching model refers to a neural network model obtained in advance through sample training.

[0102] Step 406: Control a preset printing device to generate a replacement label according to the label information, and control a preset drone to post the replacement label to the label position according to the posting schedule.

[0103] The printing device refers to a device used to print label information onto paper and cut it to form a new label. The printing device is selected by the staff according to actual conditions and will not be described in detail here.

[0104] The replacement label produced by the printing device is transported to the label location by a drone, and is affixed to the surface of the fire-fighting equipment using glue preset on the back of the replacement label, thereby covering the contaminated label.

[0105] Reference Figure 7 , the label replacement method also includes the following steps: Step 407: When the text on the label is unclear, determine the type of glue according to the label image.

[0106] Labels are generally made of self-adhesive stickers. The types of self-adhesive stickers posted on the surfaces of different devices are different. The type of glue is the type of adhesive used for the self-adhesive sticker determined by the location where the label is posted and the material of the device on which it is posted. The type of glue can be obtained through a glue type matching model. The glue type matching model refers to a neural network model obtained in advance through sample training.

[0107] Step 408: Determine the peeling temperature according to the type of glue.

[0108] The heating device refers to a device used to heat the label so that the label can be detached from the fire-fighting equipment. The heating device is selected by the staff according to the actual situation and will not be described in detail here. The peeling temperature refers to the temperature at which the adhesive of the label is reduced by the heating device. The peeling temperature can be obtained by querying a pre-set peeling temperature database. The peeling temperature database refers to a database that records various types of adhesives and their corresponding peeling temperatures.

[0109] Step 409: Match the peeling stroke according to the label position.

[0110] The peeling stroke refers to the path of uniformly heating the label by controlling the heating device of the drone. The peeling stroke can be obtained through the peeling stroke matching model. The peeling stroke matching model refers to a neural network model obtained in advance through sample training.

[0111] Step 410: According to the stripping stroke, the heating device preset on the drone is controlled to heat the label preset on the fire-fighting equipment according to the stripping temperature, and the removal device preset on the drone is controlled to remove the label preset on the fire-fighting equipment.

[0112] The removal device refers to a device installed on the drone and used to remove the labels on the fire-fighting equipment. The removal device is selected by the staff according to the actual situation and will not be described in detail here.

[0113] When the label is contaminated, the contaminated label is removed by the heating device and the removing device, thereby reducing the situation where the replacement label is pasted on the contaminated label, resulting in loose adhesion and falling off of the replacement label.

[0114] Based on the same inventive concept, an embodiment of the present invention provides a building equipment fault management system, including: The acquisition module is used to obtain fire protection images, current date, building location, actual temperature, test time, test temperature, change time and label images.

[0115] A memory is used to store a program of any one of the above-mentioned building equipment fault management methods.

[0116] The program in the processor and the memory can be loaded and executed by the processor to implement any of the above-mentioned building equipment fault management methods.

[0117] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0118] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by a building equipment fault management method.

[0119] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0120] An embodiment of the present invention provides a computer-readable storage medium storing a computer program capable of being loaded and executed by a processor for a method for managing building equipment faults.

[0121] Computer storage media include, for example, USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks, and other media that can store program codes.

[0122] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A building equipment fault management method, characterized in that: include: Obtain firefighting images of firefighting equipment; Determine whether there are aging features on firefighting equipment based on firefighting images; When there are aging features on the fire-fighting equipment, the aging area is determined based on the aging features; When the aging area exceeds the preset equipment working range, the fire fighting position is determined according to the fire fighting image; According to the fire location, the fire number, installation date and effective time are matched from the preset fire installation database, and the current date is obtained; Determine the installation duration based on the current date and the installation date; When the installation time does not exceed the effective time, the preset warning device will be controlled according to the fire location and fire number to issue an equipment aging warning; When the installation time exceeds the effective time, the preset warning device is controlled according to the fire location and fire number to issue an equipment failure warning.

2. A building equipment fault management method according to claim 1, characterized in that: Also includes: When there are aging features on the fire equipment, the equipment type is matched from the preset fire equipment database according to the fire number; Determine the important location intervals and their corresponding fault thresholds based on the equipment type, and determine the aging area based on the aging characteristics; When the aging area falls into the important position interval, the fault area is determined based on the aging area and the important position interval; When the fault area exceeds the fault threshold, the preset warning device is controlled according to the fire location and fire number to issue an equipment fault warning.

3. A building equipment fault management method according to claim 2, characterized in that: Also included is a fault detection method, the fault detection method comprising: When the device type is a temperature sensing device, obtain the building location; Matching weather data from a preset weather database based on building location; Determine the predicted temperature based on meteorological data and firefighting location, and control the preset firefighting equipment to obtain the actual temperature; Calculate the difference between the predicted temperature and the actual temperature and define it as the temperature error; When the temperature error exceeds the preset detection error range, the preset warning device is controlled according to the fire position and fire number to issue a detection error warning.

4. A building equipment fault management method according to claim 3, characterized in that: The fault detection method further comprises: When the temperature error does not exceed the preset detection error range, the sprinkler number is matched according to the fire location and the test time is obtained; According to the sprinkler number, the preset sprinkler equipment is controlled to spray according to the preset test water volume; Determine the change temperature range according to the actual temperature and the preset test water volume, and control the preset fire-fighting equipment to obtain the test temperature; When the test temperature falls into the change temperature range, the change time is obtained; Calculate the difference between the change time and the test time and define it as the reaction time; When the reaction time exceeds the preset temperature reaction range, the preset warning device is controlled according to the fire position and fire number to issue a detection error warning.

5. A building equipment fault management method according to claim 4, characterized in that: Also included is a fault handling method, the fault handling method comprising: When the reaction time exceeds the preset temperature reaction range, it is determined whether there is a foreign object at the probe of the fire-fighting equipment based on the fire-fighting image; When there is a foreign object at the probe of the fire-fighting equipment, the location of the foreign object is identified according to the fire-fighting equipment; Match the cleaning itinerary according to the location of foreign matter; According to the cleaning schedule, the preset UAV is controlled to fly to the probe of the fire-fighting equipment, and the blowing device preset on the UAV is controlled to blow air toward the probe of the fire-fighting equipment.

6. A building equipment fault management method according to claim 1, characterized in that: Also included is a label replacement method, the label replacement method comprising: When there are aging features on the firefighting equipment, the label position is determined based on the firefighting image; Match the detection itinerary according to the tag position; Control the preset drone to obtain the label image according to the detection itinerary; Judging whether the text on the label is clear based on the label image; When the text on the label is unclear, the fire parameters are matched from the preset fire equipment database according to the fire number; Generate tag information based on fire protection parameters and match the posting itinerary based on the tag location; According to the label information, a preset printing device is controlled to generate a replacement label, and according to the posting itinerary, a preset drone is controlled to post the replacement label to the label position.

7. A building equipment fault management method according to claim 6, characterized in that: The label replacement method further includes: When the text on the label is unclear, determine the type of glue based on the label image; Determine the peeling temperature according to the type of glue; Match the peeling stroke according to the label position; According to the stripping stroke, the heating device preset on the drone is controlled to heat the label preset on the fire-fighting equipment according to the stripping temperature, and the removal device preset on the drone is controlled to remove the label preset on the fire-fighting equipment.

8. A building equipment fault management system, characterized in that: include: An acquisition module is used to acquire firefighting images, current date, building location, actual temperature, test time, test temperature, change time and label images; A memory, used to store a program of a building equipment fault management method according to any one of claims 1 to 7; The program in the memory can be loaded and executed by the processor to implement a building equipment fault management method as described in any one of claims 1 to 7.

9. An intelligent terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes a method for managing building equipment faults as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute a building equipment fault management method according to any one of claims 1 to 7.

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