A building equipment fault management method, system, terminal and storage medium
By judging the aging characteristics from the appearance of the fire-fighting equipment, obtaining installation information and controlling the warning device to issue warnings, the problem of system failure caused by aging of building equipment is solved, and the system stability and effectiveness of fire-fighting equipment are improved.
Patent Information
- Application Number
- CN202510181257.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-19
- Publication Date
- 2025-06-20
- Estimated Expiration
- 2045-02-19
AI Technical Summary
Building equipment is prone to aging during use, making it difficult to collaborate with the intelligent building management system, which in turn leads to system failure.
By obtaining fire protection images of fire equipment, we can determine whether there are aging characteristics, determine the aging area and location, match the installation information, and control the warning device to issue an aging or failure warning for maintenance.
It reduces the aging of building equipment, improves the stability of the use of building intelligent management systems, and ensures the effectiveness and normal operation of fire-fighting equipment.
Smart Images

Figure CN119648209B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of building management technologies, and more particularly to a method, system, terminal and storage medium for building equipment failure management. Background Art
[0002] A building intelligent management system refers to a system that integrates computer technology, network communication, automatic control and energy-saving technology to centrally monitor, automatically control and optimize the management of various mechanical and electrical equipment in a building.
[0003] In the prior art, a building intelligent management system is generally used to realize the intelligent interconnection and efficient coordination of building equipment such as air conditioners, lighting, security, fire protection, and elevators, making the management and operation of buildings more accurate and efficient. The building intelligent management system not only improves the utilization efficiency, safety and comfort of buildings, but also promotes the efficient use of energy and environmental protection.
[0004] Building equipment is prone to aging over time during use. When the aging degree of building equipment is too high, it is easy to cause the building equipment to be difficult to cooperate with the building intelligent management system to realize the control of the building, and then lead to the failure of the building intelligent management system. Summary of the Invention
[0005] In order to improve the stability of the building intelligent management system and reduce the aging of building equipment, the present invention provides a method, system, terminal and storage medium for building equipment failure management.
[0006] In a first aspect, the present invention provides a method, system, terminal and storage medium for building equipment failure management, adopting the following technical solutions:
[0007] A method for building equipment failure management includes:
[0008] Obtain a fire image of a fire protection device;
[0009] Judge whether there are aging characteristics on the fire protection device according to the fire image;
[0010] When there are aging characteristics on the fire protection device, determine the aging area based on the aging characteristics;
[0011] When the aging area exceeds a preset equipment working range, determine the fire position according to the fire image;
[0012] Match the fire protection number, installation date and effective duration from a preset fire protection installation database according to the fire position, and obtain the current date;
[0013] Determine the installation duration according to the current date and the installation date;
[0014] When the installation duration does not exceed the effective duration, control the preset warning device according to the fire position and fire number to issue an equipment aging warning;
[0015] When the installation duration exceeds the effective duration, control the preset warning device according to the fire position and fire number to issue an equipment failure warning.
[0016] By adopting the above technical solution, it is judged whether the fire-fighting equipment is aging from the appearance of the fire-fighting equipment, so as to check the installation information of the fire-fighting equipment with aging phenomenon, and then judge whether the fire-fighting equipment is effective or working properly. When the fire-fighting equipment fails or works overtime, a warning is issued through the 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 building intelligent management system.
[0017] Optionally, it further includes:
[0018] When there are aging characteristics on the fire-fighting equipment, match the equipment type from the preset fire-fighting equipment database according to the fire number;
[0019] Determine the important position interval and its corresponding fault threshold according to the equipment type, and determine the aging area based on the aging characteristics;
[0020] When the aging area falls into the important position interval, determine the fault area according to the aging area and the important position interval;
[0021] When the fault area exceeds the fault threshold, control the preset warning device according to the fire position and fire number to issue an equipment fault warning.
[0022] By adopting the above technical solution, when the important components of the fire-fighting equipment are aging, it is easy to cause the fire-fighting equipment to be difficult to complete its own work. Judge whether there is an aging phenomenon in its important components from the appearance of the fire-fighting equipment, so as to issue a warning through the warning device when the aging degree of the important components of the fire-fighting equipment is relatively high.
[0023] Optionally, it further includes a fault detection method, and the fault detection method includes:
[0024] When the equipment type is a temperature sensing device, obtain the building location;
[0025] Match the meteorological data from the preset meteorological database according to the building location;
[0026] Determine the predicted temperature according to the meteorological data and the fire position, and control the preset fire-fighting equipment to obtain the actual temperature;
[0027] Calculate the difference between the predicted temperature and the actual temperature, and define it as the temperature error;
[0028] When the temperature error exceeds the preset detection error range, control the preset warning device to issue a detection error warning according to the fire location and fire number.
[0029] By adopting the above technical solution, compare the predicted temperature value with the temperature value detected by the temperature sensing device to judge the accuracy of the temperature value detected by the temperature sensing device, so as to issue a warning through the warning device when the detection error of the temperature sensing device is large.
[0030] Optionally, the fault detection method further includes:
[0031] When the temperature error does not exceed the preset detection error range, match the sprinkler number according to the fire location, and obtain the test time;
[0032] Control the preset sprinkler device to spray according to the preset test water volume according to the sprinkler number;
[0033] Determine the changed 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;
[0034] When the test temperature falls within the changed temperature range, obtain the change time;
[0035] Calculate the difference between the change time and the test time, and define it as the response duration;
[0036] When the response duration exceeds the preset temperature response range, control the preset warning device to issue a detection error warning according to the fire location and fire number.
[0037] By adopting the above technical solution, spray water through the sprinkler device to reduce 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.
[0038] Optionally, it further includes a fault handling method, and the fault handling method includes:
[0039] When the response duration exceeds the preset temperature response range, judge whether there is a foreign object at the probe of the fire fighting equipment according to the fire image;
[0040] When there is a foreign object at the probe of the fire fighting equipment, identify the foreign object position according to the fire fighting equipment;
[0041] Match the cleaning itinerary according to the foreign object position;
[0042] Control the preset drone to fly to the probe of the fire fighting equipment according to the cleaning itinerary, and control the blowing device preset on the drone to blow air to the probe of the fire fighting equipment.
[0043] By adopting the above technical solution, when there is a foreign object at the probe of the temperature sensing device, it is likely 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 object at the probe is blown away, thereby improving the response speed of the temperature sensing device.
[0044] Optionally, it further includes a label replacement method, and the label replacement method includes:
[0045] When there are aging characteristics on the fire fighting equipment, determine the label position according to the fire fighting image;
[0046] Match the detection route according to the label position;
[0047] Control the preset drone to obtain the label image according to the detection route;
[0048] Judge whether the text on the label is clear according to the label image;
[0049] When the text on the label is not clear, match the fire fighting parameters from the preset fire fighting equipment database according to the fire fighting number;
[0050] Generate label information according to the fire fighting parameters, and match the posting route according to the label position;
[0051] Control the preset printing device to generate a replacement label according to the label information, and control the preset drone to post the replacement label to the label position according to the posting route.
[0052] By adopting the above technical solution, when the fire fighting equipment ages, the label on the equipment is easily contaminated, resulting in the inability to read the various parameters of the fire fighting equipment when used by personnel. Print a new label through the printing device, and post the new label to the fire fighting equipment through the drone to replace the contaminated label.
[0053] Optionally, the label replacement method further includes:
[0054] When the text on the label is not clear, determine the glue type according to the label image;
[0055] Determine the peeling temperature according to the glue type;
[0056] Match the peeling route according to the label position;
[0057] Control the heating device preset on the drone to heat the label preset on the fire fighting equipment according to the peeling temperature according to the peeling route, and control the removing device preset on the drone to remove the label preset on the fire fighting equipment.
[0058] By adopting the above technical solution, before pasting a new label, the contaminated label is heated by a heating device, so as to reduce the connection strength between the contaminated label and the fire-fighting equipment, and then the contaminated label is removed by a removing device.
[0059] In a second aspect, the present application provides a building equipment failure management system, adopting the following technical solution:
[0060] A building equipment failure management system includes:
[0061] An acquisition module, configured to acquire fire-fighting images, the current date, the building location, the actual temperature, the test time, the test temperature, the change time, and label images;
[0062] A memory, configured to store programs of any of the above building equipment failure management methods;
[0063] A processor, and the programs in the memory can be loaded and executed by the processor and implement any of the above building equipment failure management methods.
[0064] In a third aspect, the present application provides an intelligent terminal, adopting the following technical solution:
[0065] An intelligent terminal includes a memory and a processor, and a computer program capable of being loaded and executed by the processor and implementing any of the above building equipment failure management methods is stored on the memory.
[0066] In a fourth aspect, the present application provides a computer storage medium, which can store corresponding programs and has the characteristic of facilitating the implementation of a building equipment failure management method, adopting the following technical solution:
[0067] A computer-readable storage medium stores a computer program capable of being loaded and executed by a processor and implementing any of the above building equipment failure management methods.
[0068] By adopting the above technical solution, it is judged whether the fire-fighting equipment is aging from the appearance of the fire-fighting equipment, so as to check the installation information of the fire-fighting equipment with aging phenomenon, and then judge whether the fire-fighting equipment is effective or working properly, and a warning is issued by a warning device when the fire-fighting equipment fails or works overtime, so as to facilitate the building management personnel to maintain the fire-fighting equipment, reduce the aging situation of the fire-fighting equipment, and improve the stability of the use of the building intelligent management system.
[0069] In summary, the present application includes at least one of the following beneficial technical effects:
[0070] 1. Judge whether the fire-fighting equipment is aging from its appearance, then check the installation information of the fire-fighting equipment with aging phenomenon, and further judge whether the fire-fighting equipment is effective or working properly. When the fire-fighting equipment fails or works overtime, a warning is sent 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 building intelligent management system;
[0071] 2. When the important components of the fire-fighting equipment are aging, it is easy to cause the fire-fighting equipment to be difficult to complete its own work. Judge whether there is an aging phenomenon in the important components of the fire-fighting equipment from its appearance, and send a warning through the warning device when the aging degree of the important components of the fire-fighting equipment is relatively high;
[0072] 3. Spray water through the sprinkler device to reduce the room temperature, then 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. When the response speed of the temperature sensing device is too slow, a warning is sent through the warning device. BRIEF DESCRIPTION OF THE DRAWINGS
[0073] Figure 1 is the flow of a building equipment fault management method Figure 1 ;
[0074] Figure 2 is the flow of a building equipment fault management method Figure 2 ;
[0075] Figure 3 is the flow of a fault detection method Figure 1 ;
[0076] Figure 4 is the flow of a fault detection method Figure 2 ;
[0077] Figure 5 is the flowchart of a fault handling method;
[0078] Figure 6 is the flow of a label replacement method Figure 1 ;
[0079] Figure 7 is the flow of a label replacement method Figure 2 . DETAILED DESCRIPTION OF THE INVENTION
[0080] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to 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.
[0081] An embodiment of the present application discloses a building equipment fault management method, system, terminal, and storage medium. The present invention is used to determine whether the equipment is aging from the appearance of the fire protection equipment in the building, so as to timely maintain it through building management personnel when the equipment is aging, and regularly detect the working condition of the temperature sensing device to ensure the stability of the building intelligent management system.
[0082] Referring to Figure 1 , a building equipment fault management method includes the following steps:
[0083] Step 100: Obtain the fire protection image of the fire protection equipment.
[0084] Fire protection equipment refers to the equipment that constitutes the fire protection system in the building. Fire protection equipment includes portable fire extinguishing equipment, sprinkler equipment, temperature sensing equipment, humidity sensing equipment, etc. The fire protection image is the picture of the fire protection equipment, and the fire protection image can be obtained through a camera. The method for obtaining the fire protection image is selected by the staff according to the actual situation and will not be elaborated here.
[0085] Step 101: Determine whether there are aging characteristics on the fire protection equipment according to the fire protection image.
[0086] Aging characteristics refer to characteristics that are prone to appear when the equipment is aging, such as cracking, yellowing, rust, etc. The aging characteristics recognition model can be used to recognize the fire protection image to determine whether there are aging characteristics on the fire protection equipment. The aging characteristics recognition model is a neural network model obtained by prior sample training.
[0087] Step 102: When there are aging characteristics on the fire protection equipment, determine the aging area based on the aging characteristics.
[0088] The presence of aging characteristics on the fire protection equipment represents that the fire protection equipment is aging. The aging area is the area of the region with aging characteristics on the fire protection equipment. The aging area can be obtained through the aging area recognition model. The aging area recognition model is a neural network model obtained by prior sample training.
[0089] Step 103: When the aging area exceeds the preset equipment working range, determine the fire protection location according to the fire protection image.
[0090] The equipment working range refers to the aging area range with a relatively low aging degree of the fire protection equipment. The equipment working range is selected by the staff according to the actual situation and will not be elaborated here. The aging area exceeding the equipment working range represents that the aging degree of the fire protection equipment is relatively high, which is likely to cause the fire protection equipment to be difficult to work normally.
[0091] The fire protection location refers to the coordinate point where the fire protection equipment is located. The fire protection location can be recognized and obtained through the fire protection location recognition model. The fire protection location recognition model is a neural network model obtained by prior sample training.
[0092] Step 104: Match the fire protection number, installation date, and effective duration from the preset fire protection installation database according to the fire protection location, and obtain the current date.
[0093] The fire protection number refers to the number used to distinguish fire protection equipment, and the fire protection number corresponds to the fire protection equipment one by one. The installation date refers to the date when the fire protection equipment is installed, and the effective duration refers to the time length during which the fire protection equipment can work normally starting from the installation date.
[0094] The fire protection installation database refers to a database that records installation information such as fire protection number, installation date, effective duration, and fire protection location. After installing the fire protection equipment, the management staff enters the corresponding installation information of the fire protection equipment into the fire protection installation database to facilitate the management of the fire protection equipment.
[0095] The current date refers to the actual date, and the current date can be obtained through a timer. The method for obtaining the current date is selected by the staff according to the actual situation and will not be elaborated here.
[0096] Step 105: Determine the installation duration according to the current date and the installation date.
[0097] The installation duration refers to the time length elapsed from the current time to the installation date.
[0098] Step 106: When the installation duration does not exceed the effective duration, control the preset warning device to issue a device aging warning according to the fire protection location and the fire protection number.
[0099] The warning device refers to a device used to prompt the building management staff. The warning device is selected by the staff according to the actual situation and will not be elaborated here. The installation duration not exceeding the effective duration means that the fire protection equipment can still work normally. At this time, the building management staff is notified through the warning device that the fire protection equipment with the fire protection number at the fire protection location has an aging phenomenon, so as to facilitate the building management staff to maintain the fire protection equipment. The device aging warning is the warning issued through the warning device.
[0100] Step 107: When the installation duration exceeds the effective duration, control the preset warning device to issue a device failure warning according to the fire protection location and the fire protection number.
[0101] The installation duration exceeding the effective duration means that the fire protection equipment cannot work normally. At this time, the building management staff is notified through the warning device that the fire protection equipment with the fire protection number at the fire protection location has a failure phenomenon, so as to facilitate the building management staff to replace the fire protection equipment. The device failure warning is the warning issued through the warning device.
[0102] Refer to Figure 2 , a building equipment failure management method further includes the following steps:
[0103] Step 108: When there are aging characteristics on the fire-fighting equipment, match the equipment type from the preset fire-fighting equipment database according to the fire-fighting number.
[0104] The equipment type refers to the types of fire-fighting equipment such as portable fire extinguishing equipment, sprinkler equipment, temperature sensing equipment, and humidity sensing equipment. The fire-fighting equipment database refers to a database that has previously recorded the fire-fighting number and the equipment type.
[0105] Step 109: Determine the important position interval and its corresponding failure threshold according to the equipment type, and determine the aging area based on the aging characteristics.
[0106] The important position interval refers to the component area on the fire-fighting equipment that has an important role, such as the handle and nozzle positions of portable fire extinguishing equipment and the probe position of temperature sensing equipment. The failure threshold refers to the maximum aging area value that is allowed to exist on the important position interval on the premise that the fire-fighting equipment is working properly. The important position interval and the failure threshold are selected by the staff according to the actual situation and will not be elaborated here.
[0107] The aging area refers to the area on the fire-fighting equipment where there are aging characteristics. The aging area can be identified through an aging area identification model, which is a neural network model obtained by training with samples in advance.
[0108] Step 110: When the aging area falls within the important position interval, determine the failure area according to the aging area and the important position interval.
[0109] The aging area falling within the important position interval means that there is an overlap between the aging area and the important position interval. The failure area is the area of the overlapping region between the aging area and the important position interval. The failure area can be calculated through a failure area identification model, which is a neural network model obtained by training with samples in advance.
[0110] Step 111: When the failure area exceeds the failure threshold, control the preset warning device to issue a device failure warning according to the fire-fighting position and the fire-fighting number.
[0111] The failure area exceeding the failure threshold means that the aging degree of the important position interval of the fire-fighting equipment is too high at this time, and the fire-fighting equipment is prone to failure. At this time, the building management staff is notified of the situation where the aging degree of the important position interval is too high through the warning device, so as to facilitate the building management staff to carry out maintenance. The device failure warning is the warning issued by the warning device.
[0112] Refer to Figure 3 , the fault detection method includes the following steps:
[0113] Step 200: When the equipment type is temperature sensing equipment, obtain the building location.
[0114] The temperature sensing device is one of the devices that make up the building fire protection system. The temperature sensing device is used to detect the temperature inside the building. The temperature sensing device is selected by the staff according to the actual situation and will not be elaborated here. The 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 elaborated here.
[0115] Step 201: Match the meteorological data from the preset meteorological database according to the building location.
[0116] Meteorological data refers to the set of data on weather changes such as temperature and humidity in a region. A meteorological database refers to a database that records the meteorological data of each region. Match the meteorological data of the building location from the meteorological database.
[0117] Step 202: Determine the predicted temperature based on the meteorological data and the fire location, and control the preset fire protection equipment to obtain the actual temperature.
[0118] 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 for obtaining the predicted temperature is common knowledge in the art and will not be elaborated here. The actual temperature refers to the temperature value obtained through the temperature sensing device. The method for obtaining the actual temperature is selected by the staff according to the actual situation and will not be elaborated here.
[0119] Step 203: Calculate the difference between the predicted temperature and the actual temperature, and define it as the temperature error.
[0120] The temperature error refers to the difference between the actually detected temperature and the predicted temperature.
[0121] Step 204: When the temperature error exceeds the preset detection error range, control the preset warning device to issue a detection error warning according to the fire location and the fire number.
[0122] The detection error range refers to the allowable range of temperature detection errors. The detection error range is selected by the staff according to the actual situation and will not be elaborated here. The temperature error exceeding the detection error range means that the difference between the actually detected temperature and the predicted temperature is too large, that is, the value of the actual temperature is unreliable. At this time, the building management staff is prompted through the warning device that the temperature sensing device has a fault to facilitate the building management staff to carry out maintenance. The detection error warning is the warning issued through the warning device.
[0123] Refer to Figure 4 , the fault detection method further includes the following steps:
[0124] Step 205: When the temperature error does not exceed the preset detection error range, match the sprinkler number according to the fire location and obtain the test time.
[0125] The temperature error not exceeding the detection error range indicates that the difference between the actually detected temperature and the predicted temperature is small, that is, the value of the actual temperature is relatively reliable.
[0126] The sprinkler equipment is one of the equipment for constructing the building fire protection system. The sprinkler equipment is used to transport clear water to each sprinkler head and spray clear water in the building through the sprinkler head. The sprinkler number refers to the number set in advance for distinguishing the sprinkler heads of the sprinkler device. The sprinkler number corresponds to the sprinkler head of the sprinkler equipment one by one. The sprinkler equipment and its sprinkler number are selected by the staff according to the actual situation and will not be elaborated here. The sprinkler numbers of the sprinkler heads in the area around the fire protection location are matched according to the fire protection location.
[0127] The test time refers to the moment before spraying through the sprinkler device. The test time can be obtained by 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.
[0128] Step 206: Control the preset sprinkler equipment to spray according to the preset test water volume.
[0129] The test water volume refers to the volume of clear water sprayed through the sprinkler equipment set in advance. The test water volume is selected by the staff according to the actual situation and will not be elaborated here. The clear water is sprayed to the surrounding of the fire protection equipment through the sprinkler equipment, so as to reduce the temperature around the fire protection equipment.
[0130] Step 207: Determine the change temperature range according to the actual temperature and the preset test water volume, and control the preset fire protection equipment to obtain the test temperature.
[0131] The calculation method of the change temperature range includes , where is the required change temperature value, is the water vapor partial pressure, and the water vapor partial pressure is obtained by pre-testing through experiments, is the molar mass of water vapor, generally using , is the universal gas constant, generally using , is the environmental water vapor content, and the environmental water vapor content can be obtained by querying meteorological data, is the test water volume. After calculating the change temperature value, the change temperature range is obtained according to the pre-set 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.
[0132] The test temperature refers to the temperature value obtained by controlling the temperature sensing device after spraying clear water through the sprinkler device. The method for obtaining the test temperature is selected by the staff according to the actual situation and will not be elaborated here.
[0133] Step 208: When the test temperature falls within the change temperature range, obtain the change time.
[0134] The test temperature falling within 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.
[0135] Step 209: Calculate the difference between the change time and the test time and define it as the response duration.
[0136] The response duration refers to the duration elapsed from the temperature change to the detection of the temperature change by the temperature sensing device.
[0137] Step 210: When the response duration exceeds the preset temperature response range, control the preset warning device to issue a detection error warning according to the fire location and fire number.
[0138] The temperature response range refers to the duration range required by the fire protection for the temperature sensing device to detect the temperature change from the temperature change. The temperature response range is selected by the staff according to the actual situation and will not be elaborated here.
[0139] The building fire protection system generally includes various sensor devices such as temperature sensing devices and humidity sensing devices. The building fire protection system cooperates through various sensor devices to judge whether there are fire hazards in the building. The response duration exceeding the temperature response range means that the response duration of the temperature sensing device is too long, which is likely to cause the building fire protection system to be unable to obtain the temperature information in the building in real time, resulting in the building fire protection system being difficult to react in time when a fire occurs.
[0140] Refer to Figure 5 , and the fault handling method includes the following steps:
[0141] Step 300: When the response duration exceeds the preset temperature response range, judge whether there is a foreign object at the probe of the fire protection equipment according to the fire protection image.
[0142] A temperature sensing device generally includes a main body and a probe. The temperature sensing device obtains the temperature physical quantity in the environment through the probe and analyzes the temperature value of the environment through the main body. When there is a foreign object on the probe, it is easy to cause the probe of the temperature sensing device to not be in direct contact with the environment, resulting in a situation where the response time of the temperature sensing device is too long. The foreign object refers to an object such as dust or plastic that blocks the probe of the temperature sensing device. Whether there is a foreign object at the probe of the fire-fighting equipment can be judged by a foreign object recognition model, and the foreign object recognition model refers to a neural network model obtained by prior sample training.
[0143] Step 301: When there is a foreign object at the probe of the fire-fighting equipment, identify the position of the foreign object according to the fire-fighting equipment.
[0144] The foreign object position refers to the position of the foreign object on the fire-fighting equipment, and 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 by prior sample training.
[0145] Step 302: Match the cleaning itinerary according to the foreign object position.
[0146] The drone refers to a pre-set unmanned device for managing building equipment, and the blowing device refers to a device installed on the drone for blowing air at the probe to remove foreign objects. The drone and the blowing device are selected by the staff according to the actual situation and will not be elaborated here. The cleaning itinerary refers to the itinerary of flying the drone carrying the blowing device to the foreign object position and blowing the foreign object away by the blowing device. The cleaning itinerary can be obtained through a cleaning itinerary matching model. The cleaning itinerary matching model refers to a neural network model obtained by prior sample training.
[0147] Step 303: Control the pre-set drone to fly to the probe of the fire-fighting equipment according to the cleaning itinerary, and control the blowing device pre-set on the drone to blow air at the probe of the fire-fighting equipment.
[0148] The foreign object is blown away from the fire-fighting equipment through the cooperation of the drone and the blowing device, thereby reducing the insensitivity of the fire-fighting equipment.
[0149] Refer to Figure 6 , the label replacement method includes the following steps:
[0150] Step 400: When there are aging characteristics on the fire-fighting equipment, determine the label position according to the fire-fighting image.
[0151] The label position refers to the position of the label on the fire-fighting equipment, where the label refers to a piece of paper with the parameter information of the fire-fighting equipment annotated on it and pasted on the fire-fighting equipment. The label position can be identified and obtained through a label position matching model. The label position matching model refers to a neural network model obtained by prior sample training.
[0152] Step 401: Match the detection route according to the tag position.
[0153] The detection route refers to the path for the drone to fly to the tag position. The detection route can be obtained through a detection route matching model, which is a neural network model obtained by prior sample training.
[0154] Step 402: Control the preset drone to obtain the tag image according to the detection route.
[0155] The tag image refers to the picture of the tag on the fire-fighting equipment. The tag image can be obtained through the camera on the drone. The method for obtaining the tag image is selected by the staff according to the actual situation and will not be elaborated here.
[0156] Step 403: Determine whether the text on the tag is clear according to the tag image.
[0157] It can be determined whether the text on the tag is clear through a text recognition model, which is a neural network model obtained by prior sample training.
[0158] Step 404: When the text on the tag is not clear, match the fire-fighting parameters from the preset fire-fighting equipment database according to the fire-fighting number.
[0159] The fire-fighting equipment database refers to the database that records the fire-fighting numbers of fire-fighting equipment and their corresponding equipment parameter information. The fire-fighting parameters are the equipment parameter information corresponding to the fire-fighting number matched from the fire-fighting equipment database.
[0160] Step 405: Generate tag information according to the fire-fighting parameters and match the posting route according to the tag position.
[0161] The tag information refers to the information that classifies and partitions the fire-fighting parameters for easy understanding by personnel. The tag information can be obtained through a tag information matching model, which is a neural network model obtained by prior sample training.
[0162] The posting route refers to the path for the drone to reach the tag position. The posting route can be obtained through a posting route matching model, which is a neural network model obtained by prior sample training.
[0163] Step 406: Control the preset printing device to generate a replacement tag according to the tag information, and control the preset drone to post the replacement tag to the tag position according to the posting route.
[0164] The printing device refers to the device used to print the tag information on paper and cut it into a new tag. The printing device is selected by the staff according to the actual situation and will not be elaborated here.
[0165] The replacement label produced by the printing device is transported to the label position by a drone and pasted on the surface of the fire-fighting equipment through the glue preset on the back of the replacement label, so as to cover the contaminated label.
[0166] Referring to Figure 7 , the label replacement method further includes the following steps:
[0167] Step 407: When the text on the label is unclear, determine the glue type according to the label image.
[0168] Labels generally use self-adhesive, and the types of self-adhesive for pasting on different equipment surfaces are different. The glue type is the type of adhesive used for the self-adhesive judged from the position where the label is pasted and the material of the equipment to which it is pasted. The glue type can be obtained through a glue type matching model, which is a neural network model obtained by training with samples in advance.
[0169] Step 408: Determine the peeling temperature according to the glue type.
[0170] The heating device is a device used to heat the label to detach the label from the fire-fighting equipment. The heating device is selected by the staff according to the actual situation and will not be elaborated here. The peeling temperature is the temperature at which the bonding effect of the adhesive of the label is reduced by the heating device. The peeling temperature can be obtained by querying a preset peeling temperature database, which is a database that records various types of adhesives and their corresponding peeling temperatures.
[0171] Step 409: Match the peeling stroke according to the label position.
[0172] The peeling stroke is the path for the drone to control the heating device to uniformly heat the label. The peeling stroke can be obtained through a peeling stroke matching model, which is a neural network model obtained by training with samples in advance.
[0173] Step 410: Control the heating device preset on the drone to heat the label preset on the fire-fighting equipment according to the peeling temperature, and control the removal device preset on the drone to remove the label preset on the fire-fighting equipment.
[0174] The removal device is a device set on the drone and used to remove the label on the fire-fighting equipment. The removal device is selected by the staff according to the actual situation and will not be elaborated here.
[0175] When the label is contaminated, the contaminated label is removed by the heating device and the removal device, so as to reduce the situation that the replacement label is pasted on the contaminated label and the replacement label falls off due to insecure pasting.
[0176] Based on the same inventive concept, an embodiment of the present invention provides a building equipment fault management system, including:
[0177] An acquisition module, configured to acquire fire images, the current date, the building location, the actual temperature, the test time, the test temperature, the change time, and the label image.
[0178] A memory, configured to store a program of any of the above building equipment fault management methods.
[0179] A processor, the program in the memory can be loaded and executed by the processor and implement any of the above building equipment fault management methods.
[0180] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional module is used as an example. In practical applications, the above functions can be allocated 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 processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0181] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, and a computer program capable of being loaded and executed by the processor is stored on the memory to implement a building equipment fault management method.
[0182] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional module is used as an example. In practical applications, the above functions can be allocated 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 processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0183] 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 to implement a building equipment fault management method.
[0184] Computer storage media include, for example: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.
[0185] The above are only the preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the concept of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should also be regarded as within 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 will be controlled according to the fire location and fire number to issue an equipment failure warning; Also included is a fault detection method, the fault detection method comprising: 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; 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 to issue a detection error warning according to the fire position and fire number; 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.
2. A building equipment fault management method according to claim 1, characterized in that: Also includes: 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 1, 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.
4. 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.
5. A building equipment fault management method according to claim 4, 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.
6. 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 for storing a program of a building equipment fault management method according to any one of claims 1 to 5; 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 5.
7. 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 5.
8. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a building equipment fault management method according to any one of claims 1 to 5.
Citation Information
Patent Citations
Signboard pasting robot, control method and equipment
CN114986540A
Marine environment steel structure anti-corrosion coating failure online monitoring system and method
CN115541656A
Fire-fighting equipment fault identification method, system and equipment and storage medium
CN116843321A
Building safety monitoring management system based on Internet of Things
CN118629188A
Photovoltaic panel automatic cleaning system and method based on unmanned aerial vehicle
CN119254127A