Public facility management system and control method thereof

Abstract

The application relates to a public facility management system and a control method thereof, the method comprising the following steps: receiving current environment data of a target building area transmitted by an edge computing server, determining control strategy information for a terminal node based on a device standard operation model and the current environment data, and transmitting control information carrying the control strategy information to a master controller through the edge computing server and a communication module in sequence to instruct the master controller to adjust the working state of the terminal node. The method can collect data of the target building area, determine corresponding control strategy information according to the standard operation model, realize intelligent control of the terminal node, and significantly improve the energy use efficiency of the public facility through digital transformation and automatic management, thereby improving the operation and maintenance efficiency and reducing the operation and maintenance cost.

Description

Technical Field

[0001] This application relates to the field of operation and maintenance management technology, and in particular to a public facility management system and its control method. Background Technology

[0002] With the advancement of digital transformation and the popularization of smart facilities, existing public facilities, especially conference rooms, changing rooms and restrooms, are facing problems such as lagging operation and maintenance and excessive energy consumption. Summary of the Invention

[0003] Therefore, it is necessary to provide a public facility management system and its control method that can improve operation and maintenance efficiency and reduce energy consumption to address the above-mentioned technical problems.

[0004] Firstly, this application provides a control method for a public facility management system, which is applied to a facility digital platform within the public facility management system;

[0005] The public facilities management system includes multiple sensors installed within the target building area, multiple terminal nodes located within the target building area, and a main controller that connects to each sensor and each terminal node respectively; the public facilities management system also includes a communication module and an edge computing server connected to the main controller through the communication module, and the edge computing server is connected to the facility digitization platform;

[0006] The methods include:

[0007] Receives current environmental data of the target building area transmitted from the edge computing server; wherein, the environmental data is obtained by the main controller calling multiple sensors to collect information and then transmitting it to the edge computing server for processing via the communication module; the environmental data includes at least one of user information and operating environment information.

[0008] Based on the equipment's standard operating model and current environmental data, control strategy information for terminal nodes is determined; the optimization objectives of the control strategy information include energy utilization efficiency.

[0009] Control information is transmitted to the main controller sequentially through the edge computing server and communication module; the control information carries control strategy information to instruct the main controller to adjust the working status of the terminal nodes.

[0010] In one embodiment, the standard operating model of the device includes an operating energy consumption model for the terminal node;

[0011] Based on the equipment's standard operating model and current environmental data, control strategy information for the terminal nodes is determined, including:

[0012] Based on the current environmental data and operating energy consumption model, determine the target minimum energy consumption for the terminal node;

[0013] Determine the control strategy information that matches the target minimum energy consumption; the control strategy information includes adjusting at least one of the following: the start-up time, stop time, runtime, power consumption, and speed of the terminal node.

[0014] In one embodiment, the optimization objective of the control strategy information also includes comfort;

[0015] Based on the equipment's standard operating model and current environmental data, control strategy information for the terminal nodes is determined, including:

[0016] In response to user usage information including human body sensing data and user working time, and operating environment information including ambient temperature information, if the device type of the terminal node is determined to be an air conditioner based on the device's standard operating model, then the control strategy information will be configured to adjust the terminal node's start-up time, stop-work time, and target operating temperature; or,

[0017] In response to operating environment information, including ambient humidity information and target gas concentration information, if the equipment type of the terminal node is determined to be an exhaust fan based on the equipment standard operating model, then the ambient humidity information and target gas concentration information are fuzzy judged according to the boundary conditions, and the control strategy information is determined according to the result of the fuzzy judgment.

[0018] In response to user usage information including human body sensing data and user working time, and operating environment information including ambient light information, if the device type of the terminal node is determined to be a lighting module based on the device standard operating model, the control strategy information will be configured to adjust the lighting mode of the terminal node; the lighting mode includes basic lighting and compensation lighting.

[0019] In one embodiment, the optimization objective of the control strategy information also includes security; the standard operating model of the equipment is established based on the power consumption data corresponding to the terminal node.

[0020] The method also includes:

[0021] In response to receiving an early warning signal transmitted from the edge computing server, the system confirms that a device malfunction and / or a sensor malfunction has occurred based on the early warning signal and the device's standard operating model. The early warning signal is output by the main controller when the collected information exceeds a preset value range. The early warning signal carries the device ID code of the terminal node or sensor, and the device identification information obtained by adding a weighted value. The weighted value is determined based on the status of the electrical components in the terminal node or sensor, as well as the basic power and power consumption of each electrical component.

[0022] Secondly, this application also provides a control device for a public facility management system. The device is applied to a facility digitization platform in the public facility management system. The public facility management system includes multiple sensors installed in the target building area, multiple terminal nodes located in the target building area, and a main controller that is connected to each sensor and each terminal node respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller through the communication module. The edge computing server is connected to the facility digitization platform.

[0023] The device includes:

[0024] The data receiving module is used to receive the current environmental data of the target building area transmitted by the edge computing server. The environmental data is obtained by the main controller calling multiple sensors to collect information and then transmitting it to the edge computing server for processing via the communication module. The environmental data includes at least one of user information and operating environment information.

[0025] The determination module is used to determine the control strategy information for the terminal node based on the equipment's standard operating model and current environmental data; the optimization objectives of the control strategy information include energy utilization efficiency.

[0026] The output module is used to transmit control information to the main controller in sequence through the edge computing server and the communication module; the control information carries control strategy information to instruct the main controller to adjust the working status of the terminal node.

[0027] Thirdly, this application also provides a public facility management system, which includes multiple sensors installed in the target building area, multiple terminal nodes located in the target building area, and a main controller that is connected to each sensor and each terminal node respectively; the public facility management system also includes a communication module and an edge computing server connected to the main controller through the communication module, and the edge computing server is connected to the facility digital platform.

[0028] The facility digitization platform is used to execute the methods described above.

[0029] In one embodiment, the terminal node transmits data with the host via LoRa communication.

[0030] In one embodiment, the multiple sensors are a temperature and humidity sensor, an ammonia sensor, a light-induced temperature and humidity sensor, and a human body sensor.

[0031] Fourthly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the control method of the above-mentioned public facility management system.

[0032] Fifthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method of the above-mentioned public facility management system.

[0033] The aforementioned public facility management system and its control method receive current environmental data of the target building area transmitted by an edge computing server. Based on the equipment's standard operating model and the current environmental data, the system determines control strategy information for the terminal nodes. This control information, carrying the control strategy information, is then transmitted to the main controller via the edge computing server and communication module, instructing the main controller to adjust the working state of the terminal nodes. This application achieves intelligent control of the terminal nodes by collecting data from the target building area and determining the corresponding control strategy information based on the standard operating model. Through digital transformation and automated management, the energy efficiency of public facilities is significantly improved, increasing operational efficiency while reducing operational costs. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a structural block diagram of a public facilities management system in one embodiment;

[0036] Figure 2 This is a flowchart illustrating a control method for a public facilities management system in one embodiment;

[0037] Figure 3 This is a flowchart illustrating the control method of a public facilities management system in another embodiment;

[0038] Figure 4 Here is a control flowchart for determining the device type of the terminal node as an air conditioner in one embodiment;

[0039] Figure 5 Here is a control flowchart for determining the device type of the terminal node as an exhaust fan in one embodiment;

[0040] Figure 6 Here is a control flowchart for determining the device type of the terminal node as a lighting module in one embodiment;

[0041] Figure 7 This is a flowchart illustrating the steps for identifying a current device malfunction and / or a current sensor malfunction in one embodiment.

[0042] Figure 8 This is a flowchart illustrating the operation of a public facilities management system in one embodiment.

[0043] Figure 9 This is a structural block diagram of the control device of a public facility management system in one embodiment;

[0044] Figure 10 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0045] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings, which illustrate embodiments of the present application. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of this application will be thorough and complete.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0047] When used herein, the singular forms of “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising,” “including,” or “having,” etc., specify the presence of the stated feature, whole, step, operation, component, part, or combination thereof, but do not preclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof.

[0048] With the advancement of digital transformation and the popularization of smart facilities, existing public facilities are facing problems such as lagging operation and maintenance, lack of effective technical means for management, and low energy efficiency.

[0049] This application, by constructing and applying a standardized operating model for digital equipment in smart public facilities, enables the daily use of these facilities without human intervention and achieves 24-hour digital intelligent control. The system primarily employs a localized operation strategy supplemented by remote adjustments. By calculating the operation of equipment such as lighting, ventilation, and air conditioning, and leveraging the constructed smart public facility operation energy consumption model, the energy consumption of these facilities is significantly reduced. It is estimated that this can save 143,000 kilowatt-hours of electricity annually, representing a significant step forward in promoting energy conservation and emission reduction.

[0050] For example, in the initial stage of equipment deployment, after smart public facilities are put into use, data collected through the energy management platform (facility digitization platform) can be manually analyzed to achieve operation and maintenance. In the later stages of equipment deployment, we will utilize edge computing technology to establish a standard operating model for the equipment and continuously improve data collection and real-time monitoring of the operating environment to achieve automatic matching of corresponding standard strategies and self-diagnosis of equipment faults. This system can accurately locate and promptly report equipment operational anomalies, and it is estimated that it can reduce inspection and maintenance time by 295 hours per year.

[0051] The control method for the public facility management system provided in this application embodiment can be applied to, for example... Figure 1 The public facility management system shown is part of a facility digitization platform. This system may include multiple sensors installed within a target building area, multiple terminal nodes located within the same area, and a main controller connected to each sensor and terminal node. The system may also include a communication module and an edge computing server connected to the main controller via the communication module. The edge computing server is connected to the facility digitization platform. The facility digitization platform receives current environmental data of the target building area from the edge computing server. Based on the equipment's standard operating model and the current environmental data, it determines control strategy information for the terminal nodes. This control information, carrying the control strategy, is then transmitted to the main controller via the edge computing server and the communication module, instructing the main controller to adjust the operating status of the terminal nodes. The target building area may refer to a public facility area. Each public facility area is equipped with a communication module to facilitate the wireless transmission of sensor data to the facility digitization platform.

[0052] It should be noted that the communication module can be a concentrator; the terminal node device type can be an air conditioner, exhaust fan, or lighting module.

[0053] In one exemplary embodiment, such as Figure 2 As shown, a control method for a public facilities management system is provided, which is applied to... Figure 1 The following explanation uses the facility digitalization platform as an example, including the following steps S202 to S206: [The explanation continues...]

[0054] S202, Receive the current environmental data of the target building area transmitted by the edge computing server; wherein, the environmental data is obtained by the main controller calling multiple sensors to collect information and then transmitting it to the edge computing server for processing via the communication module; the environmental data includes at least one of user information and operating environment information.

[0055] User usage information may include human body sensing data and user working time; operating environment information may include ambient temperature information, ambient humidity information, and target gas concentration information.

[0056] The information collected may include temperature, brightness, human body detection, humidity, and ammonia concentration.

[0057] Specifically, to achieve environmental feedback and other control for smart public facilities, the public facility management system is equipped with sensors to collect information. The sensors output the collected information to the main controller, which can then output the collected information to the communication module. The communication module can transmit data through the communication network to output the collected information to the edge computing server. The edge computing server can process the collected information and output the processed environmental data to the facility digitization platform.

[0058] S204, based on the equipment's standard operating model and current environmental data, determines the control strategy information for the terminal nodes; the optimization objectives of the control strategy information include energy utilization efficiency.

[0059] The standard operating model for the equipment can be established using edge computing technology.

[0060] Specifically, the facility digital platform can derive optimal control strategy information for each terminal node based on the standard operating model of the equipment and combined with environmental data. The control strategy information can be used to instruct and adjust the working status of each terminal node so as to minimize the energy consumption of each public facility area.

[0061] In one embodiment, such as Figure 3 As shown, the standard operating model of the equipment includes the operating energy consumption model of the terminal nodes;

[0062] Based on the equipment's standard operating model and current environmental data, control strategy information for the terminal nodes is determined, including:

[0063] S302 determines the target minimum energy consumption for the terminal node based on the current environmental data and the operating energy consumption model.

[0064] Optionally, the energy consumption model can be obtained based on historical environmental data and historical electricity consumption data corresponding to each terminal node.

[0065] Specifically, the facility digitization platform can input current environmental data into the operating energy consumption model to determine the target minimum energy consumption for the terminal node.

[0066] S304, determine the control strategy information to match the target minimum energy consumption; the control strategy information includes adjusting at least one of the following: the start-up time, stop time, duration, power, and speed of the terminal node.

[0067] Specifically, the facility digital platform can determine the control strategy information that matches the target minimum energy consumption. In practical applications, the operating energy consumption model can determine the target minimum energy consumption of the terminal node based on environmental data under different weather conditions and corresponding environmental comfort requirements. For example, when the terminal node is cooling, the system can be turned on in advance based on the predicted population flow throughout the day to identify the gathering points of people.

[0068] For example, if there is no control strategy information that matches the obtained target minimum energy consumption, control strategy information that matches it can be generated based on the target minimum energy consumption and stored.

[0069] In this embodiment, the target minimum energy consumption of the terminal node is determined based on the current environmental data and the operating energy consumption model, and control strategy information matching the target minimum energy consumption is determined. The control strategy information can be used to indicate and adjust the working state of the terminal node, so that the energy efficiency of the public facilities corresponding to the terminal node is significantly improved and the operation and maintenance costs are reduced.

[0070] In one embodiment, the optimization objective of the control strategy information also includes comfort;

[0071] Based on the equipment's standard operating model and current environmental data, control strategy information for the terminal nodes is determined, including:

[0072] In response to user usage information including human body sensing data and user working time, and operating environment information including ambient temperature information, if the device type of the terminal node is determined to be an air conditioner based on the device's standard operating model, then the control strategy information will be configured to adjust the terminal node's start-up time, stop-work time, and target operating temperature; or,

[0073] In response to operating environment information, including ambient humidity information and target gas concentration information, if the equipment type of the terminal node is determined to be an exhaust fan based on the equipment standard operating model, then the ambient humidity information and target gas concentration information are fuzzy judged according to the boundary conditions, and the control strategy information is determined according to the result of the fuzzy judgment.

[0074] In response to user usage information including human body sensing data and user working time, and operating environment information including ambient light information, if the device type of the terminal node is determined to be a lighting module based on the device standard operating model, the control strategy information will be configured to adjust the lighting mode of the terminal node; the lighting mode includes basic lighting and compensation lighting.

[0075] Among them, the user's working time can refer to the employee's working time on the attendance date. Furthermore, the attendance date can be calculated based on the perpetual calendar algorithm.

[0076] The start-up time, stop-up time, and target operating temperature can all be set according to actual conditions, and are not limited in this embodiment.

[0077] Specifically, such as Figure 4 As shown, the facility digital platform can respond to user usage information, including human body sensing data and user working time, and operating environment information, including ambient temperature information. It can also determine the equipment type of the terminal node based on the equipment standard operating model. If it is determined to be an air conditioner, the control strategy information can be configured to match the flow of people based on human body sensing data, thereby adjusting the corresponding start-up time and stop time of the air conditioner, adjusting the corresponding operating time period of the air conditioner according to the user's working time, and adjusting the air conditioner to operate at a suitable target temperature according to the ambient temperature information.

[0078] For example, such as Figure 4 As shown, air conditioners can include split wall-mounted units, water-cooled ceiling units, and fan coil units.

[0079] Furthermore, such as Figure 5 As shown, the facility digital platform can respond to operating environment information, including ambient humidity information and target gas concentration information, and determine the equipment type of the terminal node according to the equipment standard operating model. If it is determined to be an exhaust fan, the control strategy information can be configured to adjust the operating status of the ventilation fan group based on the ambient humidity information to achieve humidity regulation, and adjust the operating status of the ventilation fan group based on the target gas concentration information to enhance ventilation.

[0080] The target gas can be set according to the actual situation. In this embodiment, ammonia is used as the target gas for illustration. The exhaust fan may include a ventilation fan group.

[0081] It should be noted that fuzzy judgment can be a judgment mode. Based on the real-time monitored environmental humidity information and target gas concentration information, it determines whether the numerical signals of the environmental humidity information and target gas concentration information are within the range of predetermined values. The upper and lower limits of the predetermined values ​​are the boundary conditions of fuzzy judgment, thereby adjusting the adaptive start and stop of the ventilation fan to improve user comfort.

[0082] In addition, such as Figure 6 As shown, the facility digitization platform can respond to user usage information, including human body sensing data and user working time, and operating environment information, including ambient light information, and determine the equipment type of the terminal node according to the equipment standard operating model. If it is determined to be a lighting module, the strategy information can be configured to adjust the lighting mode of the lighting module.

[0083] It should be noted that, as Figure 6As shown, the lighting module may include a mirror dimming light, an interior downlight, and an area lighting panel. Basic lighting can be defined as the basic lighting required for daily use, while compensating lighting can refer to the lighting mode being adjusted to compensate lighting when the indoor lighting does not reach a predetermined value due to changes in outdoor ambient light. For example, both basic lighting and compensating lighting modes include the control and adjustment of the mirror dimming light, the interior downlight, and the area lighting panel.

[0084] In practical applications, the control strategy information can be configured to adjust the lighting module based on human body sensing data to turn on the lights when someone enters, adjust the lighting module to maintain low brightness during the user's working hours to reduce energy consumption, and adjust the brightness of the lighting module according to ambient light information to improve user comfort.

[0085] For example, ambient light information can be expressed as illuminance Lx, target gas concentration information can be expressed as ammonia concentration ppm, ambient humidity information can be expressed as humidity %RH, and ambient temperature information can be expressed in degrees ℃.

[0086] In this embodiment, by configuring comfort as the optimization target of control strategy information, the device type of the terminal node is determined based on the standard operating model of the device and the current environmental data. For terminal nodes of different device types, corresponding control strategy information is configured, thereby improving energy utilization efficiency while ensuring user comfort.

[0087] In one embodiment, the optimization objective of the control strategy information also includes security; the standard operating model of the equipment is established based on the power consumption data corresponding to the terminal node.

[0088] The method also includes:

[0089] In response to receiving an early warning signal transmitted from the edge computing server, the system confirms that a device malfunction and / or a sensor malfunction has occurred based on the early warning signal and the device's standard operating model. The early warning signal is output by the main controller when the collected information exceeds a preset value range. The early warning signal carries the device ID code of the terminal node or sensor, and the device identification information obtained by adding a weighted value. The weighted value is determined based on the status of the electrical components in the terminal node or sensor, as well as the basic power and power consumption of each electrical component.

[0090] The preset value range can be set according to the actual situation, and is not limited in this embodiment.

[0091] Specifically, such as Figure 7As shown, the main controller can monitor the collected information acquired and transmitted by the sensors, compare the measured data in the collected information with the preset value range, and output an early warning signal when the collected information exceeds the preset value range. The early warning signal is transmitted to the facility digitization platform through the communication module and the edge computing server. The facility digitization platform can respond to the received early warning signal, confirm the current equipment failure and / or sensor failure based on the early warning signal and the equipment standard operation model, and obtain the equipment identification information. Based on the equipment identification information, it can locate the equipment type, communication address and physical location information of the terminal node or sensor, which facilitates maintenance personnel to carry out maintenance, improves maintenance efficiency and enhances safety.

[0092] It should be noted that when the warning signal is communicating, the underlying communication protocol may carry the device ID code of the terminal node or sensor, and the device identification information can be obtained by adding weighted values; device failure can also refer to device inefficiency.

[0093] For example, the operating status of specific energy-consuming devices in terminal nodes or sensors can be identified. Different nodes (terminal nodes or sensors) have multiple types of energy-consuming devices, so the operating status of multiple energy-consuming devices on the same node can have many combinations. At the same time, the external environment of multiple energy-consuming devices on the same node may be different, such as ammonia concentration, temperature and humidity, light intensity, and other environmental characteristics (environmental data), which also have multiple combinations. Based on these combinations of operating statuses and the energy consumption weighting of the devices, the electricity consumption in kWh can be calculated. This can be achieved by first determining the status of the power-consuming components, and then determining the weighting value based on the basic power and electricity consumption of each component using an intelligent filtering algorithm. The intelligent filtering algorithm can filter out instantaneous interference during device startup and power fluctuations that affect stable operation.

[0094] In this embodiment, by configuring security as the optimization target of control strategy information, in response to the received warning signal, based on the device ID code carried in the warning signal and the device identification information obtained by adding a weighted value, the device identification information and the standard operating model of the device are used to confirm the current device failure and / or the current sensor failure, and notify the operation and maintenance personnel to carry out repairs, thereby improving operation and maintenance efficiency and enhancing security.

[0095] S206 transmits control information to the main controller sequentially through the edge computing server and communication module; the control information carries control strategy information to instruct the main controller to adjust the working status of the terminal node.

[0096] Specifically, the facility digital platform can output control information carrying control strategy information. The control information is transmitted to the main controller through the edge computing server and communication module. The main controller can adjust the working status of the terminal nodes according to the control strategy information.

[0097] For example, the initial control strategy information can be obtained by processing a network-based edge server, and the algorithm program can be remotely programmed wirelessly via a PC. Algorithm writing and debugging utilize various software tools such as ISPSOFT, HWCONFIG, EasyCOM, and MODBUS. In this embodiment, multiple programming languages, including ladder logic and structured logic, are primarily used to complete the program writing, and corresponding program algorithms are added to the main controller to control the terminal output.

[0098] In the control method of the aforementioned public facility management system, the current environmental data of the target building area transmitted by the edge computing server is received. Based on the standard operating model of the equipment and the current environmental data, control strategy information for the terminal node is determined. The control information carrying the control strategy information is then transmitted to the main controller through the edge computing server and the communication module in sequence, so as to instruct the main controller to adjust the working status of the terminal node. Through digital transformation and automated management, the energy efficiency of public facilities is significantly improved, and the operation and maintenance efficiency is improved while the operation and maintenance cost is reduced.

[0099] To facilitate understanding by those skilled in the art, the control method of a public facilities management system is explained below with reference to a specific example, such as... Figure 8 As shown, taking the target building area as a restroom as an example, the environmental elements can be represented as environmental data, and the operation model can be represented as the equipment standard operation model.

[0100] like Figure 8 As shown, the public facilities management system can be configured with a data center to track received data and optimize the standard operating model of equipment. In terms of operation and maintenance management, it can establish a network of restrooms (public facilities) and perform model matching and fault early warning. The public facilities management system can adopt edge computing and fog computing and execute corresponding controls. The public facilities management system can also improve the user experience based on feedback.

[0101] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0102] Based on the same inventive concept, this application also provides a control device for implementing the control method of the public facility management system described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the control device for the public facility management system provided below can be found in the limitations of the control method for the public facility management system described above, and will not be repeated here.

[0103] In one exemplary embodiment, such as Figure 9 As shown, a control device 900 for a public facility management system is provided. The device 900 is applied to the facility digitization platform in the public facility management system. The public facility management system includes multiple sensors installed in the target building area, multiple terminal nodes located in the target building area, and a main controller that is connected to each sensor and each terminal node respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller through the communication module. The edge computing server is connected to the facility digitization platform.

[0104] Device 900 includes:

[0105] The data receiving module 901 is used to receive the current environmental data of the target building area transmitted by the edge computing server; wherein, the environmental data is obtained by the main controller calling multiple sensors to collect information and then transmitting it to the edge computing server for processing via the communication module; the environmental data includes at least one of user information and operating environment information.

[0106] The determination module 902 is used to determine the control strategy information for the terminal node based on the equipment's standard operating model and current environmental data; the optimization objectives of the control strategy information include energy utilization efficiency.

[0107] The output module 903 is used to transmit control information to the main controller in sequence through the edge computing server and the communication module; the control information carries control strategy information to instruct the main controller to adjust the working status of the terminal node.

[0108] In one embodiment, the standard operating model of the device includes an operating energy consumption model for the terminal node;

[0109] The determination module 902 is also used to determine the target minimum energy consumption corresponding to the terminal node based on the current environmental data and the operating energy consumption model;

[0110] Determine the control strategy information that matches the target minimum energy consumption; the control strategy information includes adjusting at least one of the following: the start-up time, stop time, runtime, power consumption, and speed of the terminal node.

[0111] In one embodiment, the optimization objective of the control strategy information also includes comfort;

[0112] The determination module 902 is further configured to, in response to user usage information including human body sensing data and user working time, and operating environment information including ambient temperature information, if the device type of the terminal node is determined to be an air conditioner based on the device's standard operating model, configure the control strategy information to adjust the terminal node's start-up time, stop-work time, and target operating temperature; or,

[0113] In response to operating environment information, including ambient humidity information and target gas concentration information, if the equipment type of the terminal node is determined to be an exhaust fan based on the equipment standard operating model, then the ambient humidity information and target gas concentration information are fuzzy judged according to the boundary conditions, and the control strategy information is determined according to the result of the fuzzy judgment.

[0114] In response to user usage information including human body sensing data and user working time, and operating environment information including ambient light information, if the device type of the terminal node is determined to be a lighting module based on the device standard operating model, the control strategy information will be configured to adjust the lighting mode of the terminal node; the lighting mode includes basic lighting and compensation lighting.

[0115] In one embodiment, the optimization objective of the control strategy information also includes security; the standard operating model of the equipment is established based on the power consumption data corresponding to the terminal node.

[0116] The device 900 also includes an early warning module, which is used to respond to the early warning signal transmitted by the edge computing server and to confirm the current equipment failure and / or sensor failure based on the early warning signal and the device's standard operating model; the early warning signal is output by the main controller when the collected information exceeds the preset value range; wherein, the early warning signal carries the device ID code of the terminal node or sensor, and the device identification information obtained by adding weight values; the weight values ​​are determined based on the status of the electrical components in the terminal node or sensor, as well as the basic power and power consumption of each electrical component.

[0117] The various modules in the control device of the aforementioned public facility management system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0118] In one exemplary embodiment, such as Figure 1As shown, a public facility management system is provided. The public facility management system includes multiple sensors installed in the target building area, multiple terminal nodes located in the target building area, and a main controller that is connected to each sensor and each terminal node respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller through the communication module. The edge computing server is connected to the facility digitization platform.

[0119] The facility digital platform is used to implement the control methods of the aforementioned public facility management system.

[0120] Specifically, the public facility management system is equipped with a communication module, which facilitates the transmission of information collected by multiple sensors to an edge computing server. The edge computing server processes the information, obtains environmental data, and outputs it to the facility digitization platform. The public facility management system can obtain the current environmental data of the target building area, and determine the corresponding control strategy information based on the equipment standard operation model and the current environmental data. Based on the control strategy information, the system adjusts the working status of the terminal nodes to significantly improve the energy efficiency of public facilities and reduce operation and maintenance costs.

[0121] For example, the main controller may be an AS228R model; the device types of the terminal nodes may include lighting modules, exhaust fans, and air conditioners.

[0122] In one embodiment, the terminal node transmits data with the host via LoRa communication.

[0123] In one embodiment, the multiple sensors are a temperature and humidity sensor, an ammonia sensor, a light-induced temperature and humidity sensor, and a human body sensor.

[0124] Among them, human body sensing sensors can refer to sensors that use microwave radar for sensing.

[0125] In practical applications, the lighting module may include a lighting power line, and human body sensors and light, temperature and humidity sensors may be connected in series to the lighting power line, and the layout of the lighting power line may be adjusted according to the site conditions.

[0126] A contactor can be added to the air conditioner to control the power supply, and an air conditioner infrared control module can be installed, which is connected to the main controller via an RS485 bus. Two types of temperature and humidity sensors can be used to sense the temperature and humidity conditions in the bathroom and adjust the temperature and fan speed of the split air conditioner (split wall unit) or the opening of the duct valve (coil fan). Optionally, if the measured values ​​of the two temperature and humidity sensors are different, the average of the two values ​​can be taken. If one sensor loses data, the current value of the other sensor can be taken.

[0127] The exhaust fan can be equipped with a relay, and the main controller can be connected to the relay to control the operating status of the exhaust fan. For example, during off-duty hours, the control strategy information can be configured to meet the minimum ventilation requirements; during working hours, the control strategy information can be configured to adaptively adjust the start and stop of the exhaust fan according to humidity and ammonia concentration.

[0128] In one exemplary embodiment, a computer device is provided, which may be equipped with a facility digitization platform. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 10 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a control method for a public facility management system. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0129] Those skilled in the art will understand that Figure 10 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0130] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the control method of the public facilities management system described above.

[0131] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the control method of the public facility management system described above.

[0132] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the control method of the public facility management system described above.

[0133] It should be noted that the environmental data involved in this application (including but not limited to human body sensing data, user working time, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0134] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0135] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A control method for a public facilities management system, characterized in that, The method is applied to the facility digitalization platform in the public facility management system; The public facilities management system includes multiple sensors installed within the target building area, multiple terminal nodes located within the target building area, and a main controller that is connected to each of the sensors and each of the terminal nodes respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller via the communication module, the edge computing server being connected to the facility digitization platform; The method includes: The system receives current environmental data of the target building area transmitted by the edge computing server; wherein the environmental data is obtained by the main controller calling the multiple sensors to collect information, which is then transmitted to the edge computing server via the communication module for processing; the environmental data includes at least one of user usage information and operating environment information. Based on the equipment's standard operating model and the current environmental data, control strategy information for the terminal node is determined; the optimization objectives of the control strategy information include energy utilization efficiency. The control information is transmitted sequentially to the main controller via the edge computing server and the communication module; the control information carries the control strategy information to instruct the main controller to adjust the working state of the terminal node. The optimization objectives of the control strategy information also include security; the standard operating model of the equipment is established based on the power consumption data corresponding to the terminal node. The method further includes: In response to receiving an early warning signal transmitted by the edge computing server, the system confirms, based on the early warning signal and the standard operating model of the device, that a device failure and / or a sensor failure has occurred. The early warning signal is output by the main controller when the collected information exceeds a preset value range. The early warning signal carries the device ID code of the terminal node or the sensor, and device identification information obtained by adding a weighted value. The weighted value is determined based on the status of the electrical components in the terminal node or the sensor, as well as the basic power and power consumption of each electrical component.

2. The method according to claim 1, characterized in that, The standard operating model of the equipment includes the operating energy consumption model of the terminal node; The control strategy information for the terminal node is determined based on the device's standard operating model and the current environmental data, including: Based on the current environmental data and the operating energy consumption model, the target minimum energy consumption corresponding to the terminal node is determined; The control strategy information that matches the target minimum energy consumption is determined; the control strategy information includes adjusting at least one of the following: the start-up time, stop-down time, runtime, power consumption, and speed of the terminal node.

3. The method according to claim 1, characterized in that, The optimization objectives of the control strategy information also include comfort; The control strategy information determined for the terminal node based on the device's standard operating model and the current environmental data includes: In response to the user usage information including human body sensing data and user working time, and the operating environment information including ambient temperature information, if the device type of the terminal node is determined to be an air conditioner based on the device's standard operating model, then the control strategy information is configured to adjust the terminal node's start-up time, stop-work time, and target operating temperature; or, In response to the operating environment information including ambient humidity information and target gas concentration information, if the device type of the terminal node is determined to be an exhaust fan based on the standard operating model of the device, then the ambient humidity information and target gas concentration information are fuzzy judged according to the boundary conditions, and the control strategy information is determined according to the result of the fuzzy judgment. In response to the user usage information including human body sensing data and user working time, and the operating environment information including ambient light information, if the device type of the terminal node is determined to be a lighting module based on the device standard operating model, then the control strategy information is configured to adjust the lighting mode of the terminal node; the lighting mode includes basic lighting and compensation lighting.

4. A control device for a public facilities management system, characterized in that, The device is applied to the facility digital platform in the public facility management system; the public facility management system includes multiple sensors installed in the target building area, multiple terminal nodes located in the target building area, and a main controller that is connected to each of the sensors and each of the terminal nodes respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller via the communication module, the edge computing server being connected to the facility digitization platform; The device includes: The data receiving module is used to receive the current environmental data of the target building area transmitted by the edge computing server; wherein, the environmental data is obtained by the main controller calling the collection information obtained by the multiple sensors and transmitting it to the edge computing server for processing via the communication module; the environmental data includes at least one of user information and operating environment information; The determination module is used to determine the control strategy information for the terminal node based on the equipment's standard operating model and the current environmental data; the optimization target of the control strategy information includes energy utilization efficiency. The output module is used to transmit control information to the main controller in sequence through the edge computing server and the communication module; the control information carries the control strategy information to instruct the main controller to adjust the working state of the terminal node; The optimization objectives of the control strategy information also include security; the standard operating model of the equipment is established based on the power consumption data corresponding to the terminal node. The early warning module is used to respond to an early warning signal transmitted by the edge computing server, and to confirm the current device failure and / or sensor failure based on the early warning signal and the device's standard operating model; the early warning signal is output by the main controller when the collected information exceeds a preset value range; wherein, the early warning signal carries the device ID code of the terminal node or the sensor, and device identification information obtained by adding a weighted value; the weighted value is determined based on the state of the electrical components in the terminal node or the sensor, and the basic power and power consumption of each electrical component.

5. A public facilities management system, characterized in that, The public facilities management system includes multiple sensors installed within the target building area, multiple terminal nodes located within the target building area, and a main controller that is connected to each of the sensors and each of the terminal nodes respectively. The public facility management system also includes a communication module and an edge computing server connected to the main controller via the communication module, the edge computing server being connected to the facility digitization platform; The facility digitization platform is used to perform the method according to any one of claims 1 to 3.

6. The system according to claim 5, characterized in that, The terminal node transmits data with the host device via LoRa communication.

7. The system according to claim 5, characterized in that, The multiple sensors are a temperature and humidity sensor, an ammonia sensor, a light-induced temperature and humidity sensor, and a human body sensor.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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