CN112344527A - Intelligent thermal control service system based on Internet of things - Google Patents
Intelligent thermal control service system based on Internet of things Download PDFInfo
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- CN112344527A CN112344527A CN202011270898.6A CN202011270898A CN112344527A CN 112344527 A CN112344527 A CN 112344527A CN 202011270898 A CN202011270898 A CN 202011270898A CN 112344527 A CN112344527 A CN 112344527A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
Abstract
The invention discloses an intelligent thermal control service system based on the Internet of things, which comprises: the data acquisition module is used for acquiring in-station equipment operation data of the heating station, heating station environment data, heating pipeline operation data, cold source real-time data, heat source real-time data, cold and heat exchange equipment operation data and circulating equipment operation data, and sending the acquired data to the main server; the main server receives and summarizes the data collected by the data collection module, and sends the summarized data to the cloud server; the cloud server comprehensively studies and judges the pressure, temperature, flow rate and the collected data of the water network under jurisdiction, carries out real-time early warning on pressure loss and temperature loss, and sends a linkage control instruction to the execution equipment module through the main server; and the execution equipment module executes the linkage control instruction of the cloud server and adjusts the operation data of the corresponding equipment. The system realizes stepless intelligent adjustment of thermal control, avoids errors caused by manual adjustment, and timely sends out early warning information when equipment abnormality is found.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an intelligent thermal control service system based on the Internet of things.
Background
At present, the urban central heating of China develops rapidly, the number of cities increases, the population of cities increases, and with the further improvement of the living standard of people, the requirements on the number and the quality of urban heating are increased and improved inevitably. In recent years, the construction department has also proposed the goal of saving energy by 75% for civil buildings, and to achieve this goal, it is necessary to realize energy-saving control of heating systems. In order to ensure the normal operation of central heating, improve the system efficiency, reduce the energy consumption and the heat energy loss, and simultaneously, in order to improve the system stability, improve the indoor comfort of users and achieve the maximum energy-saving effect, a series of detection, measurement and regulation control systems must be equipped according to the system conditions. Meanwhile, temperature control is an important component of building energy-saving work, and is a key measure for achieving 75% of aim of civil building energy saving especially in central heating areas.
The central heating system consists of three parts, namely a heat supply source, a heat supply pipe network and a heat user. The heat supply heat source is heat supply equipment for heating a heat medium of a heat supply system by using heat energy generated by fuel combustion in a regional boiler room or a thermal power plant. The heat supply pipe network refers to a pipeline system and a conveying device thereof for transmitting heat media generated by a heat source to each heat user. The heat system for the heat user refers to a heating system in a heat user, a domestic hot water heating system, a production heat system and heat utilization equipment thereof.
The existing thermal control system mostly adopts manual adjustment, empirical regulation exists in the actual control process, adjustment errors or errors may occur, and each thermal device, facility, energy and energy consumption cannot be matched to the optimal state.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the intelligent thermal control service system based on the Internet of things, which is used for acquiring the heat utilization data of a heat user and the equipment operation condition, sending the heat utilization data and the equipment operation condition to a cloud server through the Internet of things for intelligent analysis and then performing intelligent optimization adjustment, realizing the stepless intelligent adjustment of thermal control and avoiding the occurrence of errors in manual adjustment.
The invention provides an intelligent thermal control service system based on the Internet of things, which comprises: a data acquisition module, a main server, a cloud server and an execution equipment module,
the data acquisition module is used for acquiring in-station equipment operation data of the heating station, heating station environment data, heat pipeline operation data, cold source real-time data, heat source real-time data, cold and heat exchange equipment operation data and circulating equipment operation data, and sending the acquired data to the main server;
the main server receives and summarizes the data collected by the data collection module, and sends the summarized data to the cloud server;
the cloud server comprehensively studies and judges the pressure, the temperature, the flow rate and the summarized data of the water network under jurisdiction, carries out real-time early warning on the pressure loss and the temperature loss, and sends a linkage control instruction to the execution equipment module through the main server;
the execution equipment module executes the linkage control instruction of the cloud server and adjusts the operation data of the corresponding equipment.
The invention has the beneficial effects that:
according to the intelligent thermal control service system based on the Internet of things, various data are collected through the data collection module, the collected data are sent to the main server to be collected, the main server sends the collected data to the cloud server, the cloud server combines the networking big data to analyze and arrange the individual, regional and overall operation data of equipment, an optimal operation scheme is given, the related execution equipment modules are controlled to perform linkage regulation, thermal control stepless intelligent adjustment is achieved, and errors caused by manual adjustment are avoided. When the equipment is found to be abnormal in operation, the early warning information is sent out, the attention of a user is timely reminded, and the thermal accident is avoided.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 shows a block diagram of an intelligent thermal control service system based on the internet of things according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
As shown in fig. 1, a block diagram of an intelligent thermal control service system based on the internet of things according to a first embodiment of the present invention is shown, and the system includes: the system comprises a data acquisition module, a main server, a cloud server and an execution equipment module, wherein the data acquisition module is used for acquiring in-station equipment operation data of a heating station, heating station environment data, heating pipeline operation data, cold source real-time data, heat source real-time data, cold and heat exchange equipment operation data and circulating equipment operation data, and sending the acquired data to the main server; the main server receives and summarizes the data collected by the data collection module, and sends the summarized data to the cloud server; the cloud server comprehensively studies and judges the pressure, the temperature, the flow rate and the summarized data of the water network under jurisdiction, carries out real-time early warning on the pressure loss and the temperature loss, and sends a linkage control instruction to the execution equipment module through the main server; the execution equipment module executes the linkage control instruction of the cloud server and adjusts the operation data of the corresponding equipment.
The intelligent thermal control service system is a professional intelligent service system for intelligently controlling heat and heat related services, and mainly collects, monitors and controls heat utilization indexes, heat utilization quantity, heat loss, heat energy consumption and other numerical values of a heat user, and intelligently analyzes and adjusts related equipment or an executive device through the cloud server. And the cloud server sends a linkage control instruction to the execution equipment module through the main server. The intelligent control type comprises urban central heating control, regional central heating control and regional central cooling and heating control. The execution equipment module comprises devices such as an electric valve, a relay and the like.
The data acquisition module comprises a city central heating data acquisition unit, the city central heating data acquisition unit acquires temperature, pressure and flow rate information of a city central heating thermal station and operation conditions of thermal equipment in the station, acquires temperature, pressure and flow rate information of a heat exchange booster station and acquires temperature, pressure and flow rate information of different distance positions of a thermal main pipeline. The data acquisition module sends the acquired data to a main server, the main server collects the data acquired by the urban central heating data acquisition unit and sends the data to a cloud server, the cloud server analyzes and judges the data according to the data acquired by the urban central heating data acquisition unit collected by the main server and by combining the pressure, the temperature and the flow rate of a water network in the area administered by urban central heating, judges whether the temperature, the pressure and the flow rate of the thermal equipment of the urban central heating thermal station are abnormal or not, judges whether the temperature, the pressure and the flow rate of the heat exchange booster station are abnormal or not and whether the temperature, the pressure and the flow rate of the thermal main pipeline at different distance positions are abnormal or not, and if the temperature, the pressure and the flow rate are abnormal or not, sends early warning signals and linkage control instructions to corresponding execution equipment modules to control the opening or closing of the thermal equipment and various electric valves in the thermal station and controls the opening or closing of the electric valves at different distance positions of the The balance equipment controls the operation load of the heat exchange and pressure boosting equipment and the on or off of the heat exchange and pressure boosting equipment, performs real-time early warning on the conditions of pressure loss, temperature loss and the like, and automatically protects the safety of the thermal equipment and the main line pipe network under extreme conditions. The cloud server automatically carries out synchronous recording on various related data, and displays the whole or local operation condition in real time at a client (PC) or a mobile device (APP). If the conditions such as temperature loss and pressure loss occur, the cloud server sends out early warning information of the pressure loss and the temperature loss in real time, the early warning information is pushed to a mobile equipment end or a client of a user, the user is reminded of paying attention, and safety of the thermal equipment and the main line pipe network is automatically protected under extreme conditions.
The data acquisition module also comprises a regional central heating data acquisition unit which is used for acquiring heat source temperature, pressure and flow rate information, acquiring thermal equipment operation data in a regional central heating thermal station and acquiring temperature, pressure, flow rate information and equipment operation information of a main thermal pipeline and a branch thermal pipeline. The heat source comprises a boiler, an air conditioner, an air source, solar energy, electric heat and the like. The method comprises the steps that a regional central heating data acquisition unit sends acquired data to a main server, the main server collects the data and then sends the data to a cloud server, the cloud server comprehensively studies and judges the pressure, the temperature and the flow rate of a water network in a region dominated by regional central heating according to the collected data, judges whether the temperature, the pressure and the flow rate of a heat source are abnormal or not, judges whether the operation data of thermal equipment in a regional central heating thermal station are abnormal or not, judges whether the temperature, the pressure and the flow rate of a thermal main pipeline and a branch pipeline are abnormal or not, and sends early warning signals and linkage control instructions to corresponding execution equipment modules if the temperature, the pressure and the flow rate are abnormal or not, controls the load condition of the thermal equipment in the thermal station and the opening or closing of various electric valves, and controls the opening or closing of the electric valves at different distances of the thermal pipeline. The cloud server automatically carries out synchronous recording on various related data, and displays the whole or local operation condition in real time at a client (PC) or a mobile device (APP). If the conditions such as temperature loss and pressure loss occur, the cloud server sends out early warning information of the pressure loss and the temperature loss in real time, the early warning information is pushed to a mobile equipment end or a client of a user, the user is reminded of paying attention, and safety of the thermal equipment and the main line pipe network is automatically protected under extreme conditions.
The data acquisition module also comprises a regional centralized cooling data acquisition unit which is used for acquiring cold source temperature, pressure and flow rate information, acquiring equipment operation data in the regional centralized cooling station, acquiring key node temperature, pressure and flow rate information of the thermal pipeline, acquiring temperature, pressure, flow rate information and equipment operation data of the main pipeline and the branch pipeline, and acquiring load, temperature, pressure, flow rate information and indoor temperature information of the heat dissipation equipment. The regional centralized cooling data acquisition unit sends the acquired data to a main server for gathering, the main server gathers the data and sends the data to a cloud server, the cloud server combines the gathered data with the pressure, the temperature and the flow rate of a water network of a regional centralized cooling area for comprehensive study and judgment, judges whether the temperature, the pressure and the flow rate information of a cold source are abnormal or not, judges whether the operation of equipment in a regional centralized cold source station is abnormal or not, judges whether the temperature, the pressure and the flow rate information of key nodes (an inlet, an outlet, a water replenishing node and the like) of a heating pipeline are abnormal or not, judges whether the temperature, the pressure and the flow rate information of a main pipeline and a branch pipeline and the equipment operation data are abnormal or not, judges whether the load, the temperature, the pressure and the flow rate information of radiating equipment are abnormal or not, if the abnormal, sends an early warning signal and a linkage control instruction to a corresponding execution equipment module, and controls the opening or closing, and controlling the connection relation of the load, controlling the opening or closing of the electric valves at different distance positions of the thermal power pipeline to adjust the flow and control the pressure balance equipment, and controlling the opening or closing of the pipeline flow valve of the indoor heat exchange equipment. The cloud server automatically carries out synchronous recording on various related data, and displays the whole or local operation condition in real time at a client (PC) or a mobile device (APP). If the conditions such as temperature loss and pressure loss occur, the cloud server sends out early warning information of the pressure loss and the temperature loss in real time, the early warning information is pushed to a mobile equipment end or a client of a user, the user is reminded of paying attention, and safety of the thermal equipment and the main line pipe network is automatically protected under extreme conditions.
The data acquisition module acquires in-station equipment operation data, thermal station environment data, thermal pipeline operation data, cold source real-time data, heat source real-time data, cold and heat exchange equipment operation data and circulating equipment operation data of a thermal station, and transmits the acquired data to the main server, the main server collects the data and transmits the data to the cloud server, the cloud server combines the Internet of things big data to analyze and arrange individual, regional and overall operation data of the equipment, abnormal equipment data in operation are found and alarm is given, comprehensive judgment is carried out according to the Internet of things big data and the real-time data, and the system automatically coordinates the equipment under jurisdiction and linkage regulation and control of facilities according to an optimal scheme. And performing linkage adjustment on the actions, loads and operating frequencies of the managed equipment and facilities. And the equipment and facilities governed by the system are kept under the optimal working efficiency in real time. Through the real-time adjustment of the intelligent analysis data scheme, the equipment and facilities governed by the system can change the running state and frequency of various types of functional equipment in real time according to the whole running requirement. The system is ensured to reduce the invalid redundancy of the system under the condition of meeting the normal working load, the working efficiency of the system is improved, and the invalid energy consumption is reduced. Therefore, the use efficiency of the equipment is improved, the operation cost is reduced, and the service life of the equipment in charge is prolonged.
According to the intelligent thermal control service system based on the Internet of things, various data are collected through the data collection module, the collected data are sent to the main server to be collected, the main server sends the collected data to the cloud server, the cloud server analyzes and arranges individual, regional and overall operation data of equipment by combining networking big data, an optimal operation scheme is given, related execution equipment modules are controlled to perform linkage regulation, thermal control stepless intelligent adjustment is achieved, and errors caused by manual adjustment are avoided. When the equipment is found to be abnormal in operation, the early warning information is sent out, the attention of a user is timely reminded, and the thermal accident is avoided.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (8)
1. The utility model provides an wisdom thermal control service system based on thing networking which characterized in that includes: a data acquisition module, a main server, a cloud server and an execution equipment module,
the data acquisition module is used for acquiring in-station equipment operation data of the heating station, heating station environment data, heat pipeline operation data, cold source real-time data, heat source real-time data, cold and heat exchange equipment operation data and circulating equipment operation data, and sending the acquired data to the main server;
the main server receives and summarizes the data collected by the data collection module, and sends the summarized data to the cloud server;
the cloud server comprehensively studies and judges the pressure, the temperature, the flow rate and the summarized data of the water network under jurisdiction, carries out real-time early warning on the pressure loss and the temperature loss, and sends a linkage control instruction to the execution equipment module through the main server;
the execution equipment module executes the linkage control instruction of the cloud server and adjusts the operation data of the corresponding equipment.
2. The system of claim 1, wherein the data collection module comprises a city central heating data collection unit, and the city central heating data collection unit collects temperature, pressure and flow rate information of thermal equipment in the city central heating thermal station, collects temperature, pressure and flow rate information of the heat exchange booster station and collects temperature, pressure and flow rate information of different distance positions of the thermal main pipeline.
3. The system of claim 2, wherein the cloud server analyzes and judges according to data collected by the urban central heating data collection unit and the pressure, temperature and flow rate of the water network under jurisdiction, judges whether the temperature, pressure and flow rate of the thermal equipment of the urban central heating thermal station are abnormal, judges whether the temperature, pressure and flow rate of the heat exchange booster station are abnormal and whether the temperature, pressure and flow rate of the thermal main pipeline at different distance positions are abnormal, and sends an early warning signal and a linkage control instruction to the corresponding execution equipment module if the temperature, pressure and flow rate of the heat exchange booster station are abnormal.
4. The system of claim 1, wherein the data collection module comprises a district central heating data collection unit, and the district central heating data collection unit is used for collecting heat source temperature, pressure and flow rate information, collecting thermal equipment operation data in a district central heating thermal station, and collecting temperature, pressure, flow rate information and equipment operation information of a main thermal pipeline and a branch thermal pipeline.
5. The system of claim 4, wherein the cloud server performs analysis and judgment according to data collected by the regional central heating data collection unit and the pressure, the temperature and the flow rate of the water network under jurisdiction, judges whether the temperature, the pressure and the flow rate of the heat source are abnormal, judges whether the operation data of the thermal equipment in the regional central heating heat source station is abnormal, judges whether the temperature, the pressure and the flow rate of the thermal main pipeline and the branch pipeline are abnormal, and sends an early warning signal and a linkage control instruction to the corresponding execution equipment module if the temperature, the pressure and the flow rate of the thermal main pipeline and the branch pipeline are abnormal.
6. The system of claim 1, wherein the data acquisition module comprises a regional centralized cooling data acquisition unit, the regional centralized cooling data acquisition unit is used for acquiring cold source temperature, pressure and flow rate information, acquiring equipment operation data in the regional centralized cooling station, acquiring temperature, pressure and flow rate information of key nodes of the thermal pipeline, acquiring temperature, pressure and flow rate information of the main pipeline and the branch pipeline and equipment operation data, and acquiring load, temperature, pressure and flow rate information of the heat dissipation equipment.
7. The system of claim 6, wherein the cloud server analyzes and judges according to data of the regional centralized cooling data acquisition unit and the managed pressure, temperature and flow rate of the water network, judges whether the temperature, pressure and flow rate information of the cold source is abnormal, judges whether equipment in the regional centralized cold source station operates abnormally, judges whether the temperature, pressure and flow rate information of key nodes of the thermal pipeline is abnormal, judges whether the temperature, pressure and flow rate information of the main pipeline and the branch pipeline and the equipment operation data are abnormal, judges whether the load, temperature, pressure and flow rate information of the heat dissipation equipment is abnormal, and sends an early warning signal and a linkage control instruction to the corresponding execution equipment module if the load, temperature, pressure and flow rate information of the heat dissipation equipment is abnormal.
8. The system of claim 4, wherein the heat source comprises a boiler, air conditioning, air supply, solar energy, and electric heat.
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