A digital base-based building automation system and method

Abstract

The application provides a digital base-based building automatic control system and method, comprising at least one terminal device, and further comprising a digital base, wherein the digital base comprises: an access module, which is used for acquiring transmission data of the terminal device and performing analysis on the transmission data of the terminal device; and a logic execution module, which is used for receiving the analyzed transmission data of the access module, performing data processing on the analyzed transmission data through a preset algorithm, and forming a control instruction to be executed by the terminal device, so as to solve the problems of high cost of the current controller, great difficulty in updating the logic of the controller, limitation of the control logic on the hardware facilities on site, long engineering debugging period, and inability to flexibly respond to new requirements, and further to solve the problems of multiple device scheduling levels and poor stability; the control logic of the application can be flexibly updated, the engineering debugging cost is reduced, the information transmission cost is reduced through optimization of the device scheduling logic, and the device response efficiency is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of digital base building automation technology, and particularly relates to a digital base building automation system and method. BACKGROUND

[0002] The traditional building automation system adopts a framework with DDC and PLC as the core, relies on the field controller to directly connect the equipment to realize equipment information collection, control strategy execution, control instruction issuing to the equipment. However, due to the hardware limitation of the controller, the types and quantity of the connectable equipment are limited. When multiple devices need to work together, the information needs to be transmitted to the building control system through the controller network first, then the building control system executes the logic, and finally the control instruction is issued to the corresponding controller, and the controller issues the control instruction to the equipment, so as to complete the multi-device linkage operation.

[0003] In the field of Internet of Things, big data, AI and other scenarios, industry manufacturers have proposed the idea of cloud platform, but there are still the following disadvantages:

[0004] (1) High cost of controller, in the traditional building automation system framework, the controller is an indispensable hardware facility. Due to the variety of equipment, different manufacturers and different equipment protocols, the customized controller is also various, and the price is high;

[0005] (2) Difficulty in updating the controller logic, the traditional controller logic is burned in the chip, and the update of the logic needs to be re-burned and configured by a special person on site. The control logic of the traditional building automation system is limited by the hardware facilities on site, and the engineering debugging cost is high and the cycle is long, which cannot respond to new demands flexibly;

[0006] (3) Multiple levels of device scheduling, high delay and poor stability, the scheduling of the devices without direct connection needs to pass through two levels of controller and building control system. The multi-device scheduling of the traditional building automation system is based on a three-level framework of "equipment-controller-building control system". The multiple levels bring the technical problems of high delay and poor stability. The more layers, the higher the delay caused by the transmission data, and the increase of influencing factors also weakens the stability;

[0007] Therefore, the prior art needs to be further developed. SUMMARY

[0008] The purpose of the present application is to overcome the above technical deficiencies, provide a building automation system and method based on a digital base, to solve the technical problems of high cost of controller, difficulty in updating controller logic, and control logic of traditional building automation system being limited by on-site hardware facilities, high engineering debugging cost and long cycle, and inability to respond to new demands flexibly; multiple equipment scheduling levels, high delay, and poor stability.

[0009] To achieve the above technical purpose, the present application adopts the following technical scheme: according to the first aspect of the present application, a building automation system based on a digital base is provided, comprising at least one end device, the system further comprising a digital base, the digital base comprising:

[0010] An access module is in communication connection with the end device, used to obtain transmission data of the end device and analyze the transmission data of the end device;

[0011] A logic execution module is in communication connection with the access module, used to receive the analyzed transmission data of the access module, process the analyzed transmission data through a preset algorithm, form a control instruction, and issue the control instruction to the end device for execution.

[0012] Specifically, the access module comprises a data access module and a data analysis module;

[0013] The data access module is used to identify the data type of the obtained transmission data of the end device, and distribute the transmission data to the data analysis module for data analysis according to the data type.

[0014] Specifically, the data analysis module comprises a plurality of protocol analyzers, which are used to respectively receive transmission data of corresponding data types and respectively analyze the transmission data.

[0015] Specifically, the access module further comprises a data storage module and an information security module, the data storage module is used to store the obtained transmission data of the end device, and the information security module is used to authorize and check the access and writing authority of the transmission data.

[0016] Specifically, the access module further comprises a data interface, used to receive the analyzed transmission data of the data analysis module and upload the analyzed transmission data to the logic execution module.

[0017] Specifically, the logic execution module comprises a plurality of control software of end devices, used to process the analyzed transmission data through a preset algorithm, execute a preset control logic according to the data analysis result, and form a control instruction.

[0018] Specifically, the preset algorithm includes a logical selection algorithm and a scheduling allocation algorithm, which are used for data analysis on the parsed transmission data.

[0019] Specifically, the logical execution module further includes an operation and maintenance module, which is used for issuing the control instruction to the corresponding end device.

[0020] According to a second aspect of the present application, a digital base-based building automatic control method is provided, comprising:

[0021] S100, obtaining transmission data of an end device by using an access module in a digital base;

[0022] S200, parsing the transmission data of the end device;

[0023] S300, a logical execution module in the digital base processes the parsed transmission data by using a preset algorithm, and forms a control instruction, which is issued to the end device for execution.

[0024] Specifically, the logical execution module in the digital base processes the parsed transmission data by using a preset algorithm, comprising:

[0025] The logical execution module in the logical selection algorithm distributes the parsed transmission data to the control software of the corresponding end device, and constructs the association relationship between the end device corresponding to the transmission data and the preset control logic.

[0026] Specifically, the logical execution module in the digital base processes the parsed transmission data by using a preset algorithm, comprising:

[0027] The logical execution module finds out a plurality of end devices associated with the transmission data according to the association relationship between the end device corresponding to the transmission data and the preset control logic by using a scheduling allocation algorithm, and then distributes the parsed transmission data to the control software of the plurality of end devices.

[0028] Specifically, the forming of the control instruction and the issuing to the end device for execution comprises:

[0029] The control instruction formed by the preset control logic is issued to the corresponding end device through the network by the operation and maintenance module in the logical execution module to execute the control instruction.

[0030] Advantages:

[0031] The application provides a building automatic control system and method based on a digital base, the digital base comprising: an access module, configured to acquire transmission data of an end device and analyze the transmission data of the end device; and a logic execution module, configured to receive the analyzed transmission data, perform data processing on the analyzed transmission data through a preset algorithm, and form a control instruction, which is sent to the end device for execution, thereby solving the technical problems of high cost of a controller, great difficulty in updating the logic of the controller, and limitation of the control logic of a traditional building automatic control system on hardware facilities on site, great cost and long cycle of engineering debugging, and inability to flexibly respond to new demands, and reducing hardware cost, flexibly updating and debugging the control logic, reducing engineering debugging cost, reducing information transmission cost through optimization of device scheduling logic, and greatly improving device response efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0032] Figure 1 is a component schematic diagram of the building automatic control system based on the digital base provided in the specific embodiment of the application;

[0033] Figure 2 is a technical architecture schematic diagram based on the digital base provided in the specific embodiment of the application;

[0034] Figure 3 is a component schematic diagram of the building automatic control method based on the digital base provided in the specific embodiment of the application;

[0035] Figure 4 is a flowchart of independent operation of the controller of the group intelligent scheduling technology based on the digital base provided in the specific embodiment of the application;

[0036] Figure 5 is a flowchart of independent operation of the cloud of the group intelligent scheduling technology based on the digital base provided in the specific embodiment of the application;

[0037] Figure 6 is a flowchart of collaborative operation of the controller and the cloud of the group intelligent scheduling technology based on the digital base provided in the specific embodiment of the application;

[0038] Figure 7 is a schematic diagram of a traditional building automatic control architecture provided in the specific embodiment of the application;

[0039] Figure 8 is a schematic diagram of a building automatic control architecture based on the digital base provided in the specific embodiment of the application. DETAILED DESCRIPTION

[0040] In order to make the personnel in the technical field better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor should belong to the scope of protection of the present application.

[0041] The present application will be further described below in conjunction with the drawings and preferred embodiments.

[0042] Embodiment one

[0043] According to the embodiments of the present application, a digital base-based building automation system is provided, please refer to Figures 1-2 , the system comprises at least one terminal device, and further comprises a digital base, the digital base comprises:

[0044] An access module, in communication connection with the terminal device, is configured to acquire transmission data of the terminal device and analyze the transmission data of the terminal device;

[0045] A logic execution module, in communication connection with the access module, is configured to receive the analyzed transmission data of the access module, perform data processing on the analyzed transmission data through a preset algorithm, form a control instruction, and issue the control instruction to the terminal device for execution.

[0046] It can be understood that by using the digital base-based building automation system in the present embodiment, the system structure composition is simplified, the hardware cost is reduced, the control logic can be flexibly updated and debugged, is not limited by the controller, the engineering debugging cost is reduced, the information transmission cost is reduced through the device scheduling logic optimization, the device response efficiency is greatly improved, and the technical problems of high controller cost, great difficulty in updating the controller logic, and the control logic of the traditional building automation system being limited by the hardware facilities on site, great engineering debugging cost, long cycle, and inability to flexibly respond to new demands are solved.

[0047] Referring to Figure 2In the building automation system of the embodiment, the end device includes various control devices in the building, including smoke sensors, temperature and humidity sensors, fire sprinklers, fire doors, and other devices, and the digital base is a collection of various constantly upgraded digital technologies such as Internet of Things, big data, blockchain, 5G, artificial intelligence, and visualization technology. It not only realizes the digitization of the physical world, but also enables different digital bases of the physical world to be safely connected, shared, and exchanged, and to predict, simulate, and optimize the future. The digital base integrates the functions of the controller and building control in traditional building control technology, simplifies the system composition, and further improves the efficiency of automatic control of various devices in the building.

[0048] Specifically, the access module includes a data access module and a data analysis module.

[0049] The data access module is configured to identify the data type of the transmission data of the end device obtained, and distribute the transmission data to the data analysis module for data analysis according to the data type.

[0050] Referring to Figure 2 In the building automation system of the embodiment, the data access module receives various data uploaded from the end device, identifies the accessed data, and distributes the data to different data analysis services for data analysis, such as distributing the data of Bacnet to the BACnet analysis service, thereby realizing targeted data type identification. Since the data type is identified and classified when the data is accessed, the confusion and spread of incorrect data between different analysis logics are avoided, which provides a basis for subsequent data analysis and greatly improves the data processing efficiency of the system.

[0051] Specifically, the data analysis module includes a plurality of protocol analyzers, which are configured to respectively receive transmission data of corresponding data types and respectively analyze the transmission data.

[0052] Referring to Figure 2 In the building automation system of the embodiment, the data analysis module uses a micro-service form to modularize the different protocol analysis programs, and provides the analyzed data to the database or real-time data interface. The micro-service architecture enables each protocol analyzer to be independently deployed, upgraded, and expanded, facilitating agile development and continuous integration. Different protocol data can be processed by different analyzers at the same time, reducing the total duration of data analysis and greatly accelerating the data processing speed.

[0053] Specifically, the access module further includes a data storage module and an information security module. The data storage module is configured to store the transmission data of the end device obtained, and the information security module is configured to authorize and check the access and write permissions of the transmission data.

[0054] Referring to Figure 2 In the building automation system in the embodiment, the data storage module can store the acquired end device transmission data, and the storage of the transmission data can play a role of data caching. When other modules in the system need to access the data again, directly acquiring the data from the storage module is much faster than reacquiring the data from the end device, which further improves the overall performance of the system. The information security module authorizes the access and write permission of the transmission data, so as to ensure that only authorized users or modules can access and modify the data, and to ensure the data security in the use process.

[0055] Specifically, the access module further includes a data interface, configured to receive the parsed transmission data from the data parsing module, and upload the parsed transmission data to the logic execution module.

[0056] Referring to Figure 2 In the building automation system in the embodiment, the data interface is open to the upper application layer, which meets the use of the application layer business, so that the application layer can conveniently acquire the processed (processed before analysis and logic execution) transmission data. In the building automation system, the application layer can include various business applications, such as device monitoring, energy management, etc. The open interface provides a data source for these applications, so that the application layer can further analyze, display or control the data according to the business needs of itself, thereby improving the practicability and functionality of the entire building automation system. The open interface also provides support for the expansibility of the system, and new application layer businesses can be accessed to the building automation system through the interface, which greatly expands the application scenarios of the building automation system.

[0057] Specifically, the logic execution module includes control software of a plurality of end devices, configured to perform data processing on the parsed transmission data through a preset algorithm, and execute a preset control logic according to the data analysis result to form a control instruction.

[0058] Referring to Figure 2 In the building automation system in the embodiment, the control software of a plurality of end devices, i.e. Figure 2The AI-controlled cloud operating system is composed of multiple GMOS APPs, i.e., containers of control logic, including but not limited to fire control GMOS APP, multi-connected intelligent control GMOS APP, college computer room GMOS APP, unit group control GMOS APP, etc. GMOS APPs can adapt to different device types and application scenarios. Whether it is fire-fighting equipment, air conditioning multi-connected machine, or computer room equipment, unit equipment, etc., it can be effectively controlled under this system framework, improving the universality and device compatibility of the system. By analyzing the data uploaded from the terminal device and finding the corresponding preset control logic, the control instruction is formed. There are corresponding GMOS APPs for different types of terminal devices, which means that specific control logic can be customized for each device type. Different devices have differences in function, operation requirements, and operation specifications, etc. Customized control logic can better meet these special needs. For example, the fire control GMOS APP can generate accurate control instructions according to the special requirements of fire-fighting equipment, such as the linkage control logic after fire alarm, improving the accuracy and effectiveness of control.

[0059] It needs to be further explained that the basis of the preset control logic is the parsed transmission data. The data transmitted by the terminal device is processed by the data analysis module and becomes a format that can be understood and analyzed by the logic execution module. These data contain various information of the terminal device, such as the running state parameters of the device (temperature, pressure, flow, etc.), fault information of the device, energy consumption data of the device, etc. The preset control logic takes these data as input to determine the control measures to be taken according to the actual device condition. Since the transmission data covers multiple aspects of information, the preset control logic needs to consider these data comprehensively. For example, in the control of air conditioning system, not only the current temperature data needs to be considered, but also the humidity, air flow, and running time of the device. Only by considering these data comprehensively can the running state of the device be accurately judged and whether adjustment is needed. After analyzing the parsed transmission data through the preset algorithm, an analysis result about the running state and performance of the device will be obtained. The preset control logic will make a judgment based on this result. For example, if the analysis result shows that the temperature of a certain device is too high and continuously rising, the control logic for this device may judge that cooling measures need to be taken. This judgment process is based on the pre-set normal running state of the device and the comprehensive consideration of the analysis result of the current data.

[0060] Specifically, the preset algorithm includes a logic selection algorithm and a scheduling and distribution algorithm for data analysis of the parsed transmission data.

[0061] Referring to Figure 2In the building automation system in the embodiment, there are various types of terminal devices, each of which has a specific interface for data transmission. The primary function of the operation and maintenance logic selection algorithm is to classify these different types of device interfaces, for example, the interfaces of fire-fighting devices, air conditioning devices, and computer room devices are distinguished according to their respective characteristics, and then the algorithm aligns these classified device interfaces with the corresponding GMOS APPs. This is like establishing a mapping relationship between the terminal devices and the control software. Taking fire-fighting devices as an example, their interfaces are accurately aligned to the fire-fighting intelligent control GMOS APP after classification; the interfaces of air conditioning devices are aligned to the multi-connected machine intelligent control GMOS APP, etc. This alignment relationship establishes a direct association between devices and control logic, so that each device can be correctly identified and managed by the control software.

[0062] Further, when the data interface uploads data, a scheduling and distribution algorithm is used to process the data. First, the algorithm analyzes the data content to determine a series of devices associated with the events represented by the data. For example, if the uploaded data shows that the temperature in a certain area abnormally rises, the scheduling and distribution algorithm will analyze the devices related to temperature regulation, which may include air conditioning units, ventilation equipment, etc. The data is distributed to the GMOS APP. After determining the associated devices, the scheduling and distribution algorithm distributes the data to a plurality of corresponding GMOS APPs. Continuing with the above example of abnormal temperature rise, data related to air conditioning units may be distributed to the multi-connected machine intelligent control GMOS APP, and data related to ventilation equipment may be distributed to the unit group control GMOS APP (if the ventilation equipment is managed by the unit group control GMOS APP). Through this data distribution method, each GMOS APP can obtain data related to the devices it manages, and accordingly operate the devices according to its control logic, for example, the multi-connected machine intelligent control GMOS APP may adjust the refrigeration capacity of the air conditioning unit based on the distributed data, and the unit group control GMOS APP may adjust the ventilation volume of the ventilation equipment, etc., to cope with the situation of abnormal temperature rise and achieve automatic control of building equipment.

[0063] Further, the pre-set algorithm in the logic execution module is used to achieve precise association between terminal devices and control software, ensure accurate distribution of data to corresponding GMOS APPs, and improve the accuracy and automation of building equipment control.

[0064] Specifically, the logic execution module further includes an operation and maintenance module for issuing the control instructions to corresponding terminal devices.

[0065] Referring to Figure 2In the building automation system in the embodiment, the operation and maintenance module serves as a bridge for transmitting control instructions from the logic execution module to the end device, avoids loss or error of the instructions in the transmission process, and enables each control instruction to reach the corresponding end device, such as Figure 2 The AI operation and maintenance can accurately transmit the instruction for adjusting the air conditioner temperature to the corresponding air conditioner equipment of the multi-in-one intelligent control, which is helpful for the collaborative operation of the entire building automation system.

[0066] It should be noted that the embodiment provides a building automation system based on a digital base, which includes a digital base and specifically includes an access module, a logic execution module, and the like.

[0067] Embodiment Two

[0068] The embodiment provides a building automation method based on a digital base, which includes the following steps: acquiring transmission data of an end device by using an access module in a digital base; analyzing the transmission data of the end device; and performing data processing on the analyzed transmission data by using a logic execution module in the digital base, forming a control instruction, and executing the control instruction on the end device.

[0069] Specifically, by using the building automation method based on the digital base in the embodiment, the control logic can be flexibly updated and debugged without being limited by the controller, the engineering debugging cost is reduced, the information transmission cost is greatly reduced through the optimization of the device scheduling logic, the device response efficiency is greatly improved, and the technical problems of the controller logic update difficulty, the control logic being limited by the hardware facilities on site, the large and long engineering debugging cost, the inability to flexibly respond to new requirements, the multiple device scheduling levels, the high delay, and the poor stability in the prior art are solved.

[0070] For reference Figures 3-8 In the building automation method based on the digital base, the implementation process is as follows:

[0071] S100, obtaining transmission data of the terminal device by using an access module in the digital base station;

[0072] S200, analyzing the transmission data of the terminal device;

[0073] S300, a logic execution module in the digital base station performs data processing on the analyzed transmission data by using a preset algorithm, and forms a control instruction and sends the control instruction to the terminal device for execution.

[0074] Specifically, the logic execution module in the digital base station performs data processing on the analyzed transmission data by using a preset algorithm, including:

[0075] The logic execution module in the digital base station performs data processing on the analyzed transmission data by using a preset algorithm, including:

[0076] In some specific embodiments, the logic execution module in the digital base station provides a cloud control logic by using a logic selection algorithm, and the specific implementation process is as follows: a device accesses the digital base station through a network; the access module analyzes, stores, and information security processes the data transmitted by the device, and forms a data interface to be opened upward; different types of device interfaces are classified and matched to GMOS APP by using a logic selection algorithm, so as to build an association relationship between the terminal device and the control logic, the interface data is executed by the corresponding control logic in the GMOS APP, a control instruction is formed, the control instruction is sent to the corresponding device through the network via an operation and maintenance logic, the precise matching of data and the terminal device is realized, the association between the terminal device and the control logic is accurately built, the data of different devices can be processed by appropriate control logic, the control is improved in pertinence, the cloud control logic is formed, and the system is promoted in efficient cooperation, and the overall operation efficiency and stability of the building automation system are improved.

[0077] Specifically, the logic execution module in the digital base station performs data processing on the analyzed transmission data by using a preset algorithm, including:

[0078] The logic execution module finds out a plurality of terminal devices associated with the transmission data according to the association relationship between the terminal device corresponding to the transmission data and the preset control logic, and then distributes the analyzed transmission data to the control software of the plurality of terminal devices.

[0079] In the building automatic control method of the embodiment, different devices carry different information because of different functions, for example, the temperature and humidity sensor carries temperature and humidity information, the fire door carries door opening state information, and different GMOS APPs have different functions and can only process devices supported by themselves, for example, the high-efficiency machine room GMOS APP processes device information of units, water pumps and cooling towers to provide control logic for optimizing energy efficiency; and the fire control intelligent control GMOS APP processes device information of smoke sensors, fire doors and fire sprinklers to provide control logic for spraying fire extinguishing and opening access control when a fire occurs. The devices supported by the two GMOS APPs are different, therefore, a scheduling and distribution algorithm is needed to identify all the connected devices and distribute them to the corresponding GMOS APPs for logical processing. When the end devices access the digital base, they need to meet the access requirements of the digital base and provide their own device information, such as device number, device name, device category, device function and collected data. The scheduling and distribution algorithm extracts high-identification information from these information, such as device category and device function, and matches the devices with the GMOS APPs by searching the functions of all GMOS APPs in the digital base and the supported devices, so as to deliver the collected data to the GMOS APPs for processing.

[0080] In some specific embodiments, the embodiment provides a group intelligent scheduling and distribution method by using the scheduling and distribution algorithm in the logic execution module. The specific implementation process includes that the end devices access the digital base through the network and reach the logic execution layer in the form of data interface, the operation and maintenance logic uses the scheduling and distribution algorithm to process the data uploaded by the data interface, analyzes a series of end devices associated with the event, and then distributes the data to the corresponding multiple GMOS APPs. The GMOS APPs execute control logic to form control instructions and deliver them to the specified devices. When individual devices are triggered, the rest of the devices will be triggered in succession through the group intelligent scheduling mechanism of the digital base, so as to complete the functions, greatly improve the overall operation efficiency of the system, and further ensure that the data is reasonably distributed to the GMOS APPs, so that the control instructions are accurately delivered. By optimizing the flow of data and instructions, the device resources are effectively utilized, and resource waste is avoided.

[0081] Referring to Figures 4-6 The group intelligent scheduling and distribution method realized by using the scheduling and distribution algorithm in the logic execution module can support three running scenarios: controller independent running, cloud independent running and controller and cloud collaborative running, as follows.

[0082] 1. Referring to Figure 4When there is little field data and no need for large data calculation (such as simulation), the control logic can be run by the controller, the controller can directly download the control logic from the cloud, and the device controlled by the control logic must access the same controller. This scenario is generally used in cases without Internet or unstable network conditions. The specific implementation steps include:

[0083] (1) Open the controller development software (computer web page or client software), connect the controller IP address, and ensure that the development software and the controller are connected;

[0084] (2) Configure the connected devices, such as fire detectors and air conditioners;

[0085] (3) Query the cloud control strategy, automatically recommend the control logic according to the connected devices, select the control logic for local running, and download it to the controller. Whether the control logic needs to be coordinated with the cloud is set in the logic internal program;

[0086] (4) The controller runs the logic, the real-time device running state is detected, and whether the control logic is triggered to execute is determined. If it is triggered, the control logic is run to determine whether to issue a control instruction to the controller to control the end device. Otherwise, no instruction needs to be issued.

[0087] It can be understood that in the case of poor network or no network, the cloud part of the digital base is difficult to play a role, and the essence is still the structure of "controller + building control system". However, by downloading the cloud logic for local running instead of the traditional logic burning method, the logic in the controller is flexible, real-time updated, and quickly responsive, so the structure is more flexible and intelligent than the traditional "controller + building control system", which is an optimization of the traditional method.

[0088] 2. See Figure 5 When large data calculation, simulation, and artificial intelligence algorithms need to rely on the cloud, the gateway is used to transmit field data to the cloud, the cloud runs the logic for calculation, and then returns the control instruction to the gateway, which is issued to the specific controlled object. This scenario must ensure network communication and is generally applied in wired network systems. The specific implementation steps include:

[0089] (1) Configure the controller IP address to ensure normal network communication and ensure that the controller is connected to the cloud;

[0090] (2) Upload the controller configuration to the cloud device, such as central air conditioner and ceiling machine;

[0091] (3) The cloud selects the control logic to download to the cloud for use, and configures the devices that the logic receives;

[0092] (4) The device data is uploaded to the cloud through the controller;

[0093] (5) Cloud operation control logic, according to the calculation result, judge whether to trigger control logic execution, such as trigger, then issue control instruction to the controller to control the end device, otherwise, no need to issue instruction.

[0094] It can be understood that in the case of good network signal and involving big data calculation, the computing power of the controller alone cannot achieve the purpose of fast calculation result and real-time control, therefore it needs to rely on the excellent computing power of the digital base cloud part. The controller only transmits data, and the cloud performs calculation. For example, an efficient machine room needs to improve the efficiency of the use of refrigeration and heating equipment in a large building group and reduce consumption, which requires calculation of the refrigerating capacity of each unit, the energy consumption of the refrigeration pump and cooling tower, etc. The calculation amount is very large and cannot be calculated by the computing power of the controller. This is not possessed by the traditional method, so it is an innovation to the traditional method.

[0095] 3. Referring to Figure 6 , the controller and the cloud cooperate to run, the on-site controller performs simple calculation, and the calculation result is given to the cloud for simulation or artificial intelligence algorithm to obtain a more optimal scheme, which is processed in the local controller and then sent to the on-site device. For example, for energy-saving control of an air-conditioning machine room, a primary energy-saving algorithm is run locally to regulate and control the equipment operation data uploaded to the cloud, and the cloud gives an optimized control strategy to the controller, which is then sent to the equipment for control. When the cloud strategy is better than the local one, the cloud strategy is executed first; otherwise, the local strategy is executed. The specific implementation steps are as follows:

[0096] (1) Configure the IP address of the controller to ensure normal network communication and connection between the controller and the cloud;

[0097] (2) Upload the controller configuration to the cloud device, such as refrigeration unit, refrigeration pump and cooling pump;

[0098] (3) Query the cloud control logic, automatically recommend the logic according to the connected device, select the local control logic for download to the controller, and select the cloud control logic for download to the cloud;

[0099] (4) Cloud configuration control logic receives the device;

[0100] (5) The end device transmits data to the controller, and the controller transmits data to the cloud;

[0101] (6) The controller runs the local logic to monitor the equipment operation state in real time and detects whether the control logic is triggered for execution. If triggered, the local control strategy is generated by calculation;

[0102] (7) The cloud runs the cloud control logic, monitors the equipment operation state in real time, detects whether to trigger the control logic execution, if triggered, calculates the cloud control strategy, and issues it to the controller;

[0103] (8) The comparison logic of the control strategy has been set in the local logic internal program, the controller compares the local control strategy with the cloud control strategy, and selects the better one (such as selecting the control strategy with higher energy efficiency, or selecting the control strategy with higher control efficiency) to control the end device, and if the network communication is abnormal, the local strategy is directly selected.

[0104] It can be understood that in general scenarios, when the edge (controller) of the digital base runs the logic to meet the basic building control requirements, the cloud of the digital base can try to optimize and provide better control. Using "controller + building control system" alone or "digital base cloud" alone has certain disadvantages, and the control method based on the digital base proposed by the present application has strong versatility, covering the above two cases, and thus basically covering the building control scenarios of the digital base.

[0105] Further, in some specific embodiments, the controller can be used as part of the digital base, that is, the edge of the digital base, which cooperates with the cloud part of the digital base to play a role together, so as to more efficiently control the end device, and the control logic can be flexibly updated and debugged, not limited by the controller, greatly improving the equipment response efficiency.

[0106] Specifically, the formation of the control instruction and the issuance to the end device for execution includes:

[0107] The control instruction formed by the preset control logic is sent to the corresponding end device for execution of the control instruction through the network by the operation and maintenance module in the logic execution module.

[0108] It can be understood that the control instruction is issued to the end device by the operation and maintenance module, which ensures the smoothness of the instruction transmission path, so that the control instruction formed by the preset control logic can accurately reach the end device and be executed, thereby realizing effective control of the end device, such as precise control of the on-off state of the lighting device or temperature regulation of the air conditioner, further enhancing the system stability, reducing errors and interference in instruction transmission, and helping to maintain stable operation of the entire system.

[0109] Please refer to Figures 7-8 , the working principle of the present application will be described below through specific examples:

[0110] Figure 7For the self-control architecture of the traditional building, the DDC / PLC is a traditional editable controller, which is used to collect device information, run control logic, issue control instructions to the terminal device, and is connected with the terminal device through a data line; various terminal devices include but are not limited to smoke sensors, temperature and humidity sensors, fire sprinkler heads, fire doors, sensing devices and the like, and the building control system is responsible for operation and maintenance management of the whole building automation system including the controller and the terminal device, is connected with the terminal device through a network, integrates a dispatch center, dispatches the cooperation operation between different devices under different controllers, and thus completes a series of functions.

[0111] Figure 8 For the building automation architecture based on the digital base in the application, the functions of the controller and the building control system are integrated into the digital base, so that the three-level architecture of "device-controller-building control system" is simplified into a two-level architecture of "device-digital base", a cloud control logic technology based on the digital base is provided, the digital base is connected with the terminal device through a network, the control logic is clouded, the hardware limitation of the controller is broken, the high availability of the control logic is realized, a group intelligent dispatch technology based on the digital base is also provided, a group intelligent dispatch mechanism is constructed, and rapid linkage response between devices is realized, and the specific implementation process is as follows:

[0112] 1. Cloud control logic based on digital base

[0113] (1) The terminal device accesses the digital base through a network;

[0114] (2) The device access layer (access module) analyzes, stores, and information security processes the data transmitted by the terminal device, and forms a data interface to be opened upward;

[0115] (3) The logic execution layer (logic execution module) selects algorithm logic for operation and maintenance logic, and classifies and positions different types of device interfaces into the GMOS APP, so as to construct the association relationship between the device and the control logic;

[0116] (4) The interface data is executed through the corresponding control logic in the GMOS APP, and control instructions are formed;

[0117] (5) The control instructions are issued to the corresponding device through the network via the operation and maintenance logic;

[0118] 2. Group intelligent dispatch based on digital base

[0119] (1) The device accesses the digital base through a network, and reaches the logic execution layer in the form of a data interface;

[0120] (2) The operation and maintenance logic uses a scheduling allocation algorithm to process the data uploaded by the data interface, analyzes a series of devices associated with the event, and then allocates the data to a plurality of GMOS APPs corresponding thereto;

[0121] (3) The GMOS APP executes the control logic to form a control instruction and issues it to the designated device;

[0122] (4) Thus, a complete set of devices connected to the digital base is formed. After an individual end device is triggered, the rest of the devices will be triggered in succession through the group intelligent scheduling mechanism of the digital base, thereby completing the functions in cooperation;

[0123] Take the fire control intelligent control event as an example to illustrate the specific process of group intelligent scheduling in this example:

[0124] (1) The fire in the plant produces smoke, which is detected by the smoke sensor and the temperature and humidity sensor, and is triggered. The real-time data reaches the logic execution module in the form of a data interface through the network;

[0125] (2) The operation and maintenance logic calls the scheduling allocation algorithm, analyzes that the end devices associated therewith are the fire sprinkler and the fire door, and allocates the data to the sensor GMOS APP, the fire water source GMOS APP, and the access control GMOS APP for processing;

[0126] (3) After the sensor GMOS APP executes the logic, an alarm message is generated and pushed to the monitoring device. After the fire water source GMOS APP executes the logic, an instruction is issued to the fire sprinkler to spray water for fire extinguishing. After the access control GMOS APP executes the logic, an instruction is issued to enable the fire door;

[0127] (4) With the individual end device of the smoke sensor and the temperature and humidity sensor being triggered, the fire sprinkler and the fire door are quickly responded to under the connection of the digital base, thereby completing a complete set of functions of fire extinguishing and personnel evacuation at the plant fire site.

[0128] It should be noted that the embodiment provides a building automatic control method based on a digital base, comprising: acquiring transmission data of an end device, and analyzing the transmission data of the end device; performing data processing on the analyzed transmission data through a preset algorithm, and forming a control instruction, and delivering the control instruction to the end device for execution, solving the technical problems of high cost of a controller, great difficulty in updating a logic of the controller, and control logic of a traditional building automatic control system being limited by hardware facilities on site, great cost and long cycle of engineering debugging, and inability to flexibly respond to new demands, and reducing hardware cost, flexibly updating and debugging the control logic, not being limited by the controller, reducing engineering debugging cost, reducing information transmission cost through equipment scheduling logic optimization, and greatly improving equipment response efficiency.

[0129] It should be noted that the terms "first", "second" and the like in the description and claims of the application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0130] Optionally, specific examples in the embodiment can refer to examples described in the above embodiments, and the embodiment will not be described here.

[0131] The above-mentioned serial numbers of the embodiments of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0132] In the above-described embodiments of the application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0133] The above only describes the preferred embodiments of the application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the application, a number of improvements and refinements can be made, which should be considered as the protection scope of the application.

Claims

1. A digital backbone based building automation system comprising at least one end device, characterized in that, Also comprising a digital base station, the digital base station comprising: An access module, in communication connection with the terminal device, for obtaining transmission data of the terminal device and performing analysis on the transmission data of the terminal device; A logic execution module, in communication connection with the access module, for receiving the analyzed transmission data of the access module, performing data processing on the analyzed transmission data through a preset algorithm, and forming a control instruction and issuing the control instruction to the terminal device for execution; The logic execution module comprises control software of a plurality of terminal devices, for performing data processing on the analyzed transmission data through a preset algorithm, and executing a preset control logic according to the data analysis result to form a control instruction; The preset algorithm comprises a logic selection algorithm and a scheduling and distribution algorithm, for performing data analysis on the analyzed transmission data; The logic execution module further comprises an operation and maintenance module, for issuing the control instruction to the corresponding terminal device.

2. The digital backbone-based building automation system of claim 1, wherein, The access module comprises a data access module and a data analysis module; The data access module is configured to identify the data type of the obtained transmission data of the terminal device, and distribute the transmission data to the data analysis module for data analysis according to the data type.

3. The digital base station-based building automation system according to claim 2, wherein The data analysis module comprises a plurality of protocol analyzers, which are configured to respectively receive transmission data of corresponding data types and perform data analysis on the transmission data.

4. The digital backbone-based building automation system of claim 1, wherein, The access module further comprises a data storage module and an information security module, the data storage module is configured to store the obtained transmission data of the terminal device, and the information security module is configured to authorize and check the access and writing authority of the transmission data.

5. The digital backbone based building automation system of claim 2, wherein, The access module further comprises a data interface, for receiving the analyzed transmission data of the data analysis module and uploading the analyzed transmission data to the logic execution module.

6. A method for building automation based on a digital backbone, characterized in that, The method of any one of claims 1 to 5, the method comprising: S100, obtaining transmission data of a terminal device by using an access module in a digital base station; S200, performing analysis on the transmission data of the terminal device; S300, performing data processing on the analyzed transmission data by a logic execution module in the digital base station through a preset algorithm, and forming a control instruction and issuing the control instruction to the terminal device for execution.

7. The digital backbone-based building automation method of claim 6, wherein, The logic execution module in the digital base station performs data processing on the analyzed transmission data through a preset algorithm, comprising: The logic execution module in the digital base station performs data processing on the analyzed transmission data through a preset algorithm, comprising:

8. The digital backbone-based building automation method of claim 7, wherein, The logic execution module in the digital base station performs data processing on the analyzed transmission data through a preset algorithm, comprising: The logic execution module in the digital base station performs data processing on the analyzed transmission data through a preset algorithm, comprising: The logic execution module in the digital base station performs data processing on the analyzed transmission data through a preset algorithm, comprising:

9. The digital backbone-based building automation method of claim 8, wherein, The forming control instruction is issued to the terminal device for execution, and the forming control instruction comprises: The control instruction formed by the preset control logic is transmitted to the corresponding terminal device through the operation and maintenance module in the logic execution module and a network for execution of the control instruction.

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