Boiler room centralized control system based on cloud platform

Abstract

The utility model relates to a boiler room centralized control system based on a cloud platform, which comprises a boiler system part, an intelligent internet of things gateway part, a cloud platform part and a multi-type receiving end part, the boiler system part comprises a data integrating instrument, an electric energy meter, a combustible gas alarm device, a CEMS online detection system, a boiler PLC control cabinet, an auxiliary machine PLC control cabinet, a pipe network temperature instrument, a pipe network pressure instrument and a pipe network flow instrument. The boiler system part is connected with the cloud platform part through the intelligent Internet of Things gateway part, the cloud platform part comprises a cloud server, the multi-type receiving ends are connected to the cloud server, and the cloud server processes data of the whole boiler heat and steam supply system and then outputs the data to the multi-type receiving ends through the Internet. According to the utility model, by means of 4G / 5G signals, remote multi-region integral connection is realized, a certain transmission speed is guaranteed, and the system is provided with additional guarantee.

Description

Technical Field

[0001] The utility model relates to the technical field of control systems for boiler clusters, and in particular to a boiler room centralized control system based on a cloud platform. Background Art

[0002] At present, in my country's civil boiler systems, regardless of the difference in purpose, the system itself often has devices such as transmitters, measuring instruments, alarms, programmable modules, program controllers, human-machine exchange panels, frequency converters, intelligent valve groups, etc., and most of the devices are installed on-site by the installation environment. At the same time, the monitoring or control functions of these devices are mostly independent of each other, or simply communicate between a few devices, which usually can only reflect the overall status one-sidedly; other systems or auxiliary devices linked to the boiler system are also mostly devices that independently execute their own internal logic. If the boiler system is the core link, to associate the entire related heating and steam supply equipment cluster, the common method is to connect to a specific core computing CPU device to form an association, but the main problems of this solution are: high cost, and no reasonable allocation and planning of the computing performance of the equipment processor, and there are also corresponding interference problems.

[0003] When the control links in the system cluster are not completely independent, the industrial control host computer system can only support localized operations. The common DCS system in China is limited by the large amount of integration, low-level logic, basic design and top-level human-computer interaction, which are all carried on a certain software system, integrated integration, and the quality of the system depends on the early completion of the designer group and the overall balance effect of the system software. Such software optimization and upgrade generally do not support the transition from low version to high version. When the work is transferred or the responsible object is replaced in the later stage, it is very complicated to change the system, and it will affect the whole body; if there are many types of instrument factories used, it is difficult to form a standard configuration, and it is also limited by the difficulty of hardware transformation caused by the function of the equipment itself, the lack of important functions, etc., and it is impossible to fully inherit the advantages and effects of the controller in each link. If a specific controller CPU is selected as the core computing device, taking into account the communication monitoring function, the computing cost will increase rapidly, reduce the computing power and accuracy, and it will not be economical. At the same time, the overall observation and control will be stagnant or deviated, and the programmable controller itself has expansion restrictions, and the margin needs to correspond to other interferences and future investments in the production environment. The method of increasing such costs cannot be directly solved once and for all.

[0004] When the small control links in the cluster are completely independent, some equipment and instruments operate according to their own detection status, which often leads to poor effectiveness of the original design of the entire process. It is very dependent on the performance of the controller itself. Damage or interference in complex environments have a very obvious impact. In addition, industrial instrument equipment can hardly form an iterative and self-training summary. The calculation and adjustment processes required to achieve the best effect are almost impossible to achieve. Optimizing and updating CPU functions and logic can only be done by manually replacing programs, or even directly replacing other models of equipment. For some smaller instruments and controllers, it is almost impossible to get automated assistance and interaction, which highlights availability rather than practicality and efficiency. In specific process production, delays and output disorders may bring production-related problems, reduce safety and stability, and complicate the content of the boiler system in the entire process, implicitly increasing future risks in various aspects.

[0005] The heating system based on boilers may be installed in different locations in the same environment, and the detection and management systems that need to be intervened are also uncertain. With the changes in relevant regulations on safe production and the advancement of corresponding energy-saving and emission reduction systems, its operating data is increasing and becoming more important and complex.

[0006] In terms of system application, the special equipment system itself has certain particularities, and manual management is indispensable. This also leads to various problems caused by the uneven technical capabilities of operators, such as: human management errors, operational errors, lack of troubleshooting, etc., which reduce the automation efficiency of the process and the energy utilization rate of the system. In terms of manual data recording, there will be errors, losses, environmental problems, economic problems, etc. that are difficult for operators to perceive; recording each signal data through equipment and operators selectively using it is one of the most reasonable ways of use at present, but at this time, it also faces the problems of incomplete interconnection or mandatory interconnection in the above content, which will inevitably affect the collection and use of data.

[0007] Over a longer time span, the system's operating trend will tend to be in an environment that is frequently maintained. Without trend analysis and adjustment of the system, allowing it to continue to operate under inappropriate conditions will inevitably increase the degree of loss and reduce production efficiency. At this time, the system's energy conversion and utilization effect will also drop sharply, and the service life of different functional parts inside will be reduced, and even practical problems such as inability to produce safely due to excessive node or overall loss may occur.

[0008] In industrial and civil heating environments, if there are multiple boilers in the boiler room area, or even multiple boiler systems of different types used for different processes, this will greatly magnify the complexity of the above-mentioned problems, leading to issues such as boiler efficiency, energy consumption, and emission control, and even disrupting stable production. Simplifying the monitoring and control methods on the integrated equipment side and comprehensively linking the entire heating system has become an important trend in the current diversified process production environment. Summary of the invention

[0009] The purpose of the utility model is to overcome the above-mentioned shortcomings and provide a boiler room centralized control system based on a cloud platform to protect the integrity of the process block. By recording data, iterative algorithm logic, setting optimization parameters, adjusting control functions, forming optimization schemes and other methods, the above-mentioned problems are solved more comprehensively, and the boiler system cluster is associated in a new way to form a system that can fully cover the boiler heating and steam supply links, reduce losses and extend equipment life, increase energy utilization efficiency, and more effectively realize the original intention of process design and implement management measures for stable and safe production.

[0010] The purpose of the utility model is achieved in this way:

[0011] A cloud platform-based boiler room centralized control system, which includes a boiler system part, an intelligent Internet of Things gateway part, a cloud platform part and a multi-type receiving end part. The boiler system part includes boiler instruments, auxiliary devices and detection devices: data integrators, electric energy meters, combustible gas alarm devices and CEMS online detection systems. The boiler system part includes core control function electrical cabinets: boiler PLC control cabinets and auxiliary machine PLC control cabinets. The boiler system part includes energy efficiency detection devices: pipe network temperature meters, pipe network pressure meters and pipe network flow meters; the data integrators, electric energy meters, combustible gas alarm devices and CEMS online detection systems are connected to the core control function electrical cabinets and clustered devices through electrical lines to form integrated control of digital quantity signals.

[0012] The boiler system is connected to the cloud platform through the intelligent IoT gateway. The cloud platform includes a cloud server. Multiple types of receiving terminals are connected to the cloud server respectively. The cloud server processes the data of the entire boiler heating and steam supply system and then outputs it to multiple types of receiving terminals through the Internet.

[0013] Furthermore, the smart IoT gateway part includes a first smart IoT gateway, a second smart IoT gateway, and a third smart IoT gateway, which respectively match three types of communication connections: ModBus RTU type two-wire communication, ModBus TCP, TCP / IP type network cable communication, and 4-20mA hard-wired communication.

[0014] Furthermore, the data integrator, electric energy meter, combustible gas alarm device and CEMS online detection system use the ModBus-RS485 serial communication protocol to concentrate the scattered terminals in the first intelligent Internet of Things gateway, and the data signals of the boiler PLC control cabinet and the auxiliary machine PLC control cabinet are connected to the second intelligent Internet of Things gateway through the TCP / TP network cable to ensure the core transmission speed; the pipeline temperature instrument, pipeline pressure instrument and pipeline flow meter are at a certain measuring point of the boiler body or the body temperature of the ring network pipeline, the pipeline thermometer instrument, the water pressure, steam pressure meter instrument, the feed water flow, steam flow meter instrument, and the current signal is aggregated to the third intelligent Internet of Things gateway through the 4-20mA hard wiring transmission current signal.

[0015] Furthermore, the multi-type receiving ends include smart phones, smart tablets and smart PCs. The cloud platform establishes a data area for the system, forms an industrial control data model on the cloud, and applies a variety of functions, which are output by the Internet and transmitted to the signal terminal to complete the application process of the collected industrial data and enable technical managers to effectively utilize the system data.

[0016] Furthermore, part of the data of the boiler system is transmitted through wiring or adding an intermediary communication device, and is connected and collected in the boiler system. Some auxiliary secondary operation data can be directly sent to the gateway device. The gateway is powered by the local control cabinet, forming the following two connection methods: multiple data are collected to the PLC or controller CPU and then to the switch and then to the gateway, and a small amount of data is directly sent to the gateway.

[0017] Furthermore, the smart IoT gateway part only sets up one smart IoT gateway, and the single smart IoT gateway receives data concentrated on the PLC or controller CPU; the smart IoT gateway device itself is physically connected through a hardware interface.

[0018] Compared with the prior art, the beneficial effects of the utility model are:

[0019] (1) The utility model adopts a low-cost and more economical way to combine the heating and steam supply Internet of Things based on boilers, and in this process greatly avoids the impact and interference on the system, retaining the computing performance of the original processor equipment of the system.

[0020] (2) The utility model provides a method to avoid errors caused by human factors, including but not limited to recording data, adjusting parameters, etc., which can effectively reduce system losses caused by human factors, and has high scalability and innovation with a high operating space.

[0021] (3) The utility model simplifies the complexity of the equipment of the entire boiler-based heating and steam supply system. When multiple devices or even multiple types of devices are connected together, the intelligent Internet of Things gateway device realizes synchronous collection, and the group status is distinguished through the cloud platform to form a complete system of joint interlocking monitoring. The data reprocessing process is realized in the cloud, forming functions including but not limited to: data calculation records, iterative upgrades of the group control system, adjustment and modification of various data, system usage reports, etc.

[0022] (4) The utility model realizes the management of industrial data through the cloud platform and can transmit information to the current mainstream equipment terminals, including but not limited to: PC devices, mobile smart phones, Pads, VR, servers, etc., to a large extent realize the convenient visualization process of the industrial Internet of Things, and through the 4G / 5G communication speed, the entire system can be adjusted more quickly.

[0023] (5) The utility model uses centralized input and output, unified distribution, comparative recording and other processing methods for important data, which provides more possibilities and convenience for the entire system to be embedded in other systems or for subsequent expansion. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of network topology of the utility model.

[0025] in:

[0026] Data integrator 1, electric energy meter 2, combustible gas alarm device 3, CEMS online detection system 4, boiler PLC control cabinet 5, auxiliary machine PLC control cabinet 6, pipeline temperature meter 7, pipeline pressure meter 8, pipeline flow meter 9, first intelligent Internet of Things gateway 10, second intelligent Internet of Things gateway 11, third intelligent Internet of Things gateway 12, cloud server 13, first intelligent terminal 14, second intelligent terminal 15, third intelligent terminal 16. Implementation

[0027] In order to better understand the technical solution of the present invention, the following will be described in detail in conjunction with the relevant illustrations. It should be understood that the following specific embodiments are not intended to limit the specific implementation of the technical solution of the present invention, and are only implementations that can be adopted by the technical solution of the present invention. It should be noted that the description of the positional relationship of each component in this article, such as component A being located above component B, is based on the description of the relative positions of the components in the illustration, and is not intended to limit the actual positional relationship of the components. Example 1

[0028] See also Figure 1 , Figure 1A structural schematic diagram of a boiler room centralized control system based on a cloud platform is drawn. As shown in the figure, a boiler room centralized control system based on a cloud platform of the utility model includes four parts: a boiler system part, an intelligent Internet of Things gateway part, a cloud platform part and an intelligent terminal part. The boiler system part includes various types of instruments, auxiliary devices, detection devices, etc. that mainstream boiler systems have, such as data integrators, electrical display meters, alarm devices and combustible environment detection devices connected through ModBus-RTU two-wire wiring, such as data integrators 1, electric energy meters 2, combustible gas alarm devices 3 and CEMS online detection systems 4, and electrical cabinets with core control functions of the entire system, such as boiler PLC control cabinets 5 and auxiliary machine PLC control cabinets 6. There are energy efficiency detection links of the system in the industrial network, including pipe network temperature instruments 7, pipe network pressure instruments 8 and pipe network flow meters 9, which are mainly for the three aspects of pressure, flow and temperature in the ring network pipeline.

[0029] The intelligent IoT gateway part includes a first intelligent IoT gateway 10, a second intelligent IoT gateway 11, and a third intelligent IoT gateway 12, which are matched with three types of communication wiring respectively: ModBus RTU type two-wire communication, ModBus TCP, TCP / IP type network cable communication, and 4-20mA hard wiring communication. The data integrator 1, the electric energy meter 2, the combustible gas alarm device 3, and the CEMS online detection system 4 are connected to the first intelligent IoT gateway 10 through ModBus RTU type two-wire communication, the boiler PLC control cabinet 5 and the auxiliary machine PLC control cabinet 6 are connected to the second intelligent IoT gateway 11 through ModBus TCP, TCP / IP type network cable communication, and the pipe network temperature meter 7, the pipe network pressure meter 8, and the pipe network flow meter 9 are connected to the third intelligent IoT gateway 12 through 4-20mA hard wiring communication;

[0030] The data integrator 1, the electric energy meter 2, the combustible gas alarm device 3 and the CEMS online detection system 4 use the ModBus-RS485 serial communication protocol to concentrate the scattered terminals in the first intelligent Internet of Things gateway 10, and the data signals of the boiler PLC control cabinet 5 and the auxiliary machine PLC control cabinet 6 are connected to the second intelligent Internet of Things gateway 11 through the TCP / TP network cable to ensure the core transmission speed; the pipeline temperature meter 7, the pipeline pressure meter 8 and the pipeline flow meter 9 at a certain measuring point of the boiler body or the body temperature of the ring network pipeline, the pipeline thermometer instrument, the water pressure, the steam pressure meter instrument, the feed water flow, the steam flow meter instrument, the current signal is aggregated to the third intelligent Internet of Things gateway 12 through the 4-20mA hard wiring transmission current signal.

[0031] The cloud platform part includes a cloud server 13, and the first smart IoT gateway 10, the second smart IoT gateway 11 and the third smart IoT gateway 12 are respectively connected to the cloud server 13.

[0032] The smart terminal part includes a first smart terminal 14, a second smart terminal 15 and a third smart terminal 16, which respectively represent the three major types of Internet output terminals: smart phones, smart tablets and smart PCs, and are respectively connected to a cloud server 13. The cloud server 13 processes the data of the entire heating and steam supply system and then outputs it to the smart terminal part via the Internet.

[0033] This embodiment 1 takes the boiler system as the core, and feeds back the signals, sensor groups, thermocouples or thermal resistors, electric valve groups, intelligent detection instruments, pressure gauges, thermometers, flow meters, load controllers, water level electrode groups, conductivity device groups, burner program controllers, fan and water pump frequency converters, alarm indicators, protection switches and contactors, motors, etc. in the boiler control cabinet PLC system or core processing CPU, and clustered devices through electrical lines to form integrated control of digital signals; the sensor group includes: temperature sensors, pressure sensors, etc. that can be transmitted to secondary devices; the electric valve group includes: solenoid valve group, mechanical valve group, semi-automatic valve group etc. valve groups that can perform secondary circuit control; the intelligent detection instruments include: flow totalizers, counters and other devices with built-in data accumulation functions; the water level electrode group includes: electric contact water level gauges, devices containing high, medium and low water level electrodes and other devices that have a direct detection effect on the boiler balance water level; the conductivity device includes: conductivity probes, equipment controllers, human-machine HMI, sewage discharge devices and other adjustment detection devices; the alarm indicator and protection switch include: devices composed of protection action switches, contactors, time relays combined with temperature, pressure, liquid level detection, current, flow detection, etc.; the motors include: water feed pump motor, system circulation pump motor, fan motor, cooling fan motor and other three motors.

[0034] The centralized signal collection process includes: each device in the system is classified into a cluster node with the same communication mode according to the working conditions, and several nodes centrally transmit the entire boiler data signal to the IoT gateway device.

[0035] The data transmission of smart IoT gateways includes: through the wide variety of economical smart IoT gateway devices currently on the market, with the help of their own support for 4G / 5G data communication Internet functions, the data obtained from the collection end is transmitted to the corresponding prepared cloud server (cloud platform).

[0036] The cloud platform uses the Internet to wirelessly receive data, and by reading information of different data types, it applies it to different types of functions on the cloud platform. With the help of the diversity expansion and new function development of the Internet backend, it ultimately achieves scientific processing and calculation of data such as data analysis, parameter setting, and adjustment optimization.

[0037] The cloud platform establishes a data area for the system, forms an industrial control data model in the cloud, and applies a variety of functions. It is output through the Internet and transmitted to the signal terminal through text messages, phone calls, APP messages, etc., to complete the application process of the collected industrial data and realize the effective use of system data by technical managers.

[0038] Part of the data transmission in this embodiment 1 is connected and collected in the boiler system through wiring or adding an intermediate communication device. Some auxiliary secondary operation data can be directly sent to the gateway device. The gateway is powered by the local control cabinet, forming the following two connection methods: multiple data are collected to the PLC or controller CPU and then to the switch and then to the gateway, and a small amount of data is directly sent to the gateway.

[0039] This embodiment 1 can convert certain communication modes according to actual needs by adding instruments for converting signals, and can meet the needs by increasing or decreasing them, which has a very high degree of freedom and fault tolerance. In the case of multiple boiler equipment, two non-intersecting systems can be configured in the same Internet of Things network by allocating intelligent Internet of Things gateways. Even within the input limit of the intelligent Internet of Things gateway, multiple non-intersecting boiler systems can be incorporated into one device. As long as the processing capacity of the equipment is ensured, this method can also form a more comprehensive and economical overall system.

[0040] Since many types of instrument equipment currently support self-upgrades and TCP / IP network ports, this situation can even form a high-speed data bundling process entirely via network cables.

[0041] Through web design and editing, you can configure a simulated process operation flow on the cloud, map the data to the display area, control buttons, and input and output boxes, create a status alarm system, fault interlocking system, etc., and then feed back to the input end of the original equipment, forming an overall interlocking on the cloud platform.

[0042] It is possible to create historical trend recording systems, data reporting systems, data forecasting systems, iterative optimization systems, parameter setting systems, etc.; the cloud platform can combine the advantages of keeping pace with the times and cooperate with national plans, market changes, innovation and upgrading, etc., to give the system subjective initiative.

[0043] Make scientific plans and analyze operation data of industrial equipment clusters to form industrial management and avoid hidden factors such as waste of energy and hazardous operation of equipment due to the original industrial attributes.

[0044] After the cloud platform processes the data of the entire heating and steam supply system, it is output via the Internet in a variety of convenient ways, such as smart phones, smart tablets, smart PCs and other terminal devices, allowing users to observe and adjust their systems regardless of time and place.

[0045] The cloud platform then forms a user management system, granting different degrees of control and observation permissions based on process requirements, and intelligently managing user groups, ultimately enabling the creation of an IoT network for nationwide boiler systems of its own brand. Example 2

[0046] The second embodiment involves a boiler room centralized control system based on a cloud platform. The difference from the first embodiment is that in the second embodiment, only one smart IoT gateway is set in the smart IoT gateway part, and the single smart IoT gateway receives data concentrated on the PLC or controller CPU; the smart IoT gateway device itself is physically connected through a hardware interface, but the transmission and channel establishment are virtual serial port type channels, so it supports the establishment of multiple types of channels, and also supports the establishment of separate channels for multiple independent systems, realizing a solution of clustering one smart IoT gateway and putting multiple systems on the cloud. This brings an effective solution to the complex situations in actual use, using a gateway device to access the switch, and then the switch device to access the PLC or controller CPU.

[0047] Working principle:

[0048] The wiring method of the utility model is to ensure the minimum boiler operating conditions and ensure that when there is a problem with the external cloud device or it is out of use, the boiler system is centrally controlled by its core control unit such as PLC to determine the operating status. The degree of data centralization can be determined entirely based on actual needs and the optimal performance mode of the CPU. The collection part that exceeds the optimal performance can be completely handed over to the smart Internet of Things device, or a small or economical converter can be added for integration and then sent out; the boiler system itself can independently design an operating circuit in hardware, and through components such as intermediate relays, contactors, thermal relays, time relays, etc., ensure that when all automated logic interlocking functions stop, the panel buttons, selection switches, action switches, etc. complete the important operations of the system.

[0049] Since gateway devices usually have unique device codes, the collected signals are digitally arranged and configured into data tables according to the provisions of the data language. The configuration channel can be logged in through a specific web page on any PC or mobile terminal to facilitate engineering operations. The data is uploaded to the cloud using a unified transmission method. The data is first processed to a certain extent and then merged into the cloud server, saving some computing pressure on the cloud server in the data direction.

[0050] The intelligent logistics gateway transmits data directly to the cloud server through the Internet. At this point, almost all important data of the entire heating and steam supply system has been obtained, and all data are collected through the integration of the previous-level intelligent IoT gateway. A completely non-independent industrial network can be formed in the cloud. Processing in the cloud will neither affect the operation of the original equipment nor increase costs at the physical level. It solves the problems and limitations in the aforementioned background, and also inherits the good performance of the processor, computing CPU, and controller.

[0051] The utility model retains the functional effects of the local device, saves the CPU output of the unified control and reduces its computing burden, and executes the computing process that should be operated by the local CPU in the cloud; by borrowing 4G / 5G Internet communication, the data processing speed is fast and the transmission volume is large, and the execution effect is faster and more powerful than adding a PLC locally; with the help of the scalability of the cloud platform, the optimal operation of the system is achieved, and upgraded iterative operations are achieved on some functions; after multi-type reception and processing, processing results such as historical trend / real-time trend analysis, data summary analysis, optimization plan, alarm chain feedback report, hidden danger report, system stability report, system output report, system energy consumption report, system energy saving plan, system dynamic simulation, etc. can be formed, and issued with the help of APP, SMS, and AI phone.

[0052] The above are only specific application examples of the utility model, and do not constitute any limitation on the protection scope of the utility model. Any technical solution formed by equivalent transformation or equivalent replacement falls within the protection scope of the utility model.

Claims

1. A boiler room centralized control system based on a cloud platform, characterized by: It includes a boiler system part, an intelligent Internet of Things gateway part, a cloud platform part and a multi-type receiving end part. The boiler system part includes boiler instruments, auxiliary devices and detection devices: a data integrator (1), an electric energy meter (2), a combustible gas alarm device (3) and a CEMS online detection system (4). The boiler system part includes a core control function electrical cabinet: a boiler PLC control cabinet (5) and an auxiliary machine PLC control cabinet (6). The boiler system part includes energy efficiency detection devices: a pipe network temperature meter (7), a pipe network pressure meter (8) and a pipe network flow meter (9). The data integrator (1), the electric energy meter (2), the combustible gas alarm device (3) and the CEMS online detection system (4) are connected to the core control function electrical cabinet and the clustered device through electrical lines to form an integrated control of digital quantity signals. The boiler system part is connected to the cloud platform part through the intelligent Internet of Things gateway part. The cloud platform part includes a cloud server (13). Multiple types of receiving terminals are respectively connected to the cloud server (13). The cloud server (13) processes the data of the entire boiler heating and steam supply system and then outputs it to the multiple types of receiving terminals via the Internet.

2. According to the cloud platform-based boiler room centralized control system of claim 1, it is characterized by: The intelligent Internet of Things gateway part comprises a first intelligent Internet of Things gateway (10), a second intelligent Internet of Things gateway (11), and a third intelligent Internet of Things gateway (12), which are respectively matched with three types of communication wiring: ModBus RTU type two-wire communication, ModBus TCP, TCP / IP type network cable communication, and 4-20mA hard wiring communication.

3. According to the cloud platform-based boiler room centralized control system of claim 2, it is characterized by: The data integrator (1), the electric energy meter (2), the combustible gas alarm device (3) and the CEMS online detection system (4) use the ModBus-RS485 serial communication protocol to centralize the dispersed terminals in the first intelligent Internet of Things gateway (10), and the data signals of the boiler PLC control cabinet (5) and the auxiliary machine PLC control cabinet (6) are connected to the second intelligent Internet of Things gateway (11) through the TCP / TP network cable to ensure the core transmission speed; the pipe network temperature meter (7), the pipe network pressure meter (8) and the pipe network flow meter (9) are at a certain measuring point of the boiler body or the body temperature of the ring network pipeline, the pipe temperature meter, the water pressure, the steam pressure meter, the feed water flow, the steam flow meter, and the current signal are aggregated to the third intelligent Internet of Things gateway (12) through the 4-20mA hard wiring transmission current signal.

4. According to the cloud platform-based boiler room centralized control system of claim 1, it is characterized by: The multi-type receiving terminals include smart phones, smart tablets and smart PCs. The cloud platform establishes a data area for the system, forms an industrial control data model on the cloud, and applies a variety of functions, which are output by the Internet and transmitted to the signal terminal to complete the application process of the collected industrial data and enable technical management personnel to effectively utilize the system data.

5. The boiler room centralized control system based on a cloud platform according to claim 1 is characterized in that: Part of the data of the boiler system is transmitted through wiring or adding an intermediary communication device, and is connected and collected in the boiler system. Some auxiliary secondary operation data can be directly sent to the gateway device. The gateway is powered by the local control cabinet, forming the following two connection methods: multiple data are collected to the PLC or controller CPU and then to the switch and then to the gateway, and a small amount of data is directly sent to the gateway.

6. The boiler room centralized control system based on a cloud platform according to claim 1 is characterized in that: The smart IoT gateway part only sets up one smart IoT gateway, and the single smart IoT gateway receives data concentrated on the PLC or controller CPU; the smart IoT gateway device itself is physically connected through a hardware interface.

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