CN117190281A - Edge calculator and control system for heating power station - Google Patents
Edge calculator and control system for heating power station Download PDFInfo
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Abstract
The invention discloses an edge calculator for a heating power station, which comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring operation parameters of the heating power station; the data processing module is used for generating a local control instruction for controlling the operation of the heating power station according to the operation parameters; the communication module is used for uploading the local control instruction and the operation parameters to the cloud platform and transmitting the cloud control instruction generated by the cloud platform to the control module; the control module is used for forming a local control mode according to the local control instruction or forming a cloud control mode according to the cloud control instruction, and controlling and monitoring the operation state of the heating power station through the local control mode or the cloud control mode. The invention can improve the automation level of the heating system and improve the efficiency and the reliability of the heating system.
Description
Technical Field
The invention relates to the technical field of heating power stations, in particular to an edge calculator and a control system for a heating power station.
Background
The heat supply system consists of a heat source, a primary network, a heat station, a secondary network and a user system. As a basic layer heat supply operation management department, mainly manages the heat station, secondary network and user system. The heating station is a place for heat concentration, exchange and regulation, is a place for connecting a heating network and a heating user, adopts different connection modes according to different conditions, regulates and converts heating media conveyed by the heating network, distributes heat to a heating user system to meet the demands of the user, and performs concentrated metering and detects parameters and quantity of the heating media according to the demands. The traditional heating power station control system mainly relies on manual operation, and the operation state of the heating power station is controlled by manually adjusting the operation parameters such as water supply temperature, backwater temperature, flow, pressure and the like, so that the problems of irregular operation, low efficiency, high safety risk and the like exist. Therefore, an intelligent edge calculator is needed to control the operation of the heating station, improve the automation level of the heating system, and improve the efficiency and reliability of the heating system.
Disclosure of Invention
In order to solve the prior art problems, the invention innovatively provides the edge calculator for the heating power station to control the operation of the heating power station, so that the automation level of the heating system is improved, and the efficiency and the reliability of the heating system are improved.
To achieve the above technical object, an embodiment of the present invention discloses an edge calculator for a thermal station, including:
the data acquisition module is used for acquiring the operation parameters of the heating power station;
the data processing module is used for generating a local control instruction for controlling the operation of the heating power station according to the operation parameters;
the communication module is used for uploading the local control instruction and the operation parameters to the cloud platform and transmitting the cloud control instruction generated by the cloud platform to the control module; the method comprises the steps of,
the control module is used for forming a local control mode according to the local control instruction or forming a cloud control mode according to the cloud control instruction, and controlling and monitoring the operation state of the heating power station through the local control mode or the cloud control mode.
Further, the edge calculator for the heating station further comprises:
and the mode switching module is used for switching the local control mode and the cloud control mode.
Further, the invention relates to an edge calculator for a heating power station, wherein the data acquisition module acquires a typical room temperature Tn, an outdoor temperature Tw and an average temperature Tpj of water supply and return at corresponding moments of the heating power station every N hours;
the data processing module presets a target typical room temperature Tn0 and judges whether the temperature difference between the typical room temperature Tn and the target typical room temperature Tn0 reaches a set threshold value or not; if the set threshold is not reached, recording the typical room temperature Tn, the outdoor temperature Tw and the average temperature Tpj of the water supply and return as historical effective data; if the set threshold is reached, calculating an expected water supply average temperature Tyq by an expected temperature calculation model, and taking the expected water supply average temperature Tyq as a local control instruction to adjust the water supply temperature of the heating power station;
the expected temperature calculation model is as follows:
Tyq＝R 1 (Tn-Tw)+R 2 Tn；
wherein R is 1 The temperature characteristic parameter is the indoor and outdoor temperature difference; r is R 2 Is a temperature characteristic parameter of a typical room temperature.
Further, the invention provides an edge calculator for a heating station, wherein the data processing module adjusts the water supply temperature according to a set step length after obtaining the expected water supply average temperature Tyq;
the step length setting method comprises the following steps:
obtaining a water supply temperature difference according to the water supply temperature difference calculation model;
obtaining a set step length according to the water supply temperature difference by using a step length calculation model;
obtaining the regulating temperature of the heating station according to the step length by using a temperature regulating model;
the water supply temperature difference calculation model is as follows:
ΔT＝Tyq-Tpj；
the step length calculation model is as follows:
S＝ΔT/n，n≥2；
the temperature regulation model is as follows:
T＝Tpj+S。
furthermore, the invention relates to an edge calculator for a thermal station, wherein the data acquisition module acquires the operating parameters of the thermal station through an automatic control device and/or an intelligent device of the thermal station.
Further, the invention provides an edge calculator for the thermal station, wherein the control module controls and monitors the operation state of the thermal station through an automatic control device and/or an intelligent device of the thermal station by using a local control command or a cloud control command.
Furthermore, after the control module issues the local control instruction or the cloud control instruction, the actual operation parameter of the thermal station is read in real time through the data acquisition module, the actual operation parameter is compared with the expected control parameter, deviation feedback data are generated when the actual operation parameter deviates from the expected control parameter, the deviation feedback data are transmitted back to the data processing module or the cloud platform, and the data processing module and the cloud platform correspondingly perform continuous optimization on the local control instruction or the cloud control instruction.
Furthermore, according to the edge calculator for the heating station, the mode switching module selects a cloud control mode according to a remote control request or the fact that the data processing module is not updated as required; when the communication module and the network of the cloud platform are interrupted, the mode switching module selects a local control mode; when the mode switching module selects a cloud control mode, the local control mode is controlled to stop; when the mode switching module selects the local control mode, the cloud control mode is controlled to stop.
The invention also provides a control system for the heating power station, which comprises a plurality of edge calculators, wherein each edge calculator is in communication connection with corresponding intelligent equipment and automation control equipment in the heating power station, all the edge calculators are in communication connection with a cloud platform, and the cloud platform utilizes a router to construct a communication link with all the edge calculators.
The beneficial effects of the invention are as follows: the invention utilizes the data acquisition module to acquire the operation parameters of the heating power station; generating a local control instruction for controlling the operation of the heating power station according to the operation parameters by utilizing the data processing module; uploading a local control instruction and operation parameters to a cloud platform by using a communication module, and transmitting a cloud control instruction generated by the cloud platform to a control module; and forming a local control mode by using the control module according to the local control instruction or forming a cloud control mode according to the cloud control instruction, and controlling and monitoring the operation state of the heating power station by using the local control mode or the cloud control mode. The operation of the heating power station can be controlled in a local control mode and a remote control mode, the heating power station is automatically controlled in real time according to the operation state of the heating power station, the heating power station is ensured to operate in an expected operation state, the automation level of a heating system is further improved, and the efficiency and the reliability of the heating system are improved.
Drawings
FIG. 1 is a schematic diagram of an edge calculator for a thermal station according to the present invention;
FIG. 2 is a schematic diagram of a control system for a thermal station (for use in a wired scenario) according to the present invention;
fig. 3 is a schematic diagram of another configuration of a control system for a thermal station (applied in a wireless scenario) according to the present invention.
Detailed Description
An edge calculator for a thermal station according to the invention is explained and illustrated in detail below with reference to the drawings.
As shown in fig. 1, an embodiment of the present invention discloses an edge calculator for a thermal station, comprising:
the data acquisition module 1 is used for acquiring the operation parameters of the heating station.
Specifically, the physical sensor is connected with the edge calculator by adopting the internet of things technology, and real-time data acquisition is performed by utilizing the physical sensor. Physical sensors include, but are not limited to, temperature sensors, pressure sensors, gate sensors, flow sensors, and the like. The collected data includes, but is not limited to, parameters such as indoor and outdoor temperature of the heating station, opening/heat/flow of the intelligent valve, pressure/temperature of the water supply and return, and the like, and the collected data is uploaded to the data collection module 1.
The data acquisition module 1 acquires the operating parameters of the thermal station through an automatic control device and/or an intelligent device of the thermal station. The automatic control equipment is a PLC connected with the field equipment of the heating power station, and the intelligent equipment is equipment which is installed on the field of the heating power station, has data acquisition and transmission and has autonomous control capability. And the data acquired by the physical sensor are uploaded to the data acquisition module 1 through the corresponding PLC or intelligent equipment, so that data aggregation and integration are realized.
And the data processing module 2 is used for generating a local control instruction for controlling the operation of the heating power station according to the operation parameters.
Specifically, the data processing module 2 adopts algorithms such as machine learning, neural network and the like to analyze and process the collected operation data, realizes data processing and algorithm model construction by using programming language, automatically calculates the optimal operation state of the heating power station, including parameters such as temperature, pressure, flow and the like of water supply and return, and issues the instructions to the control module 4.
Taking the temperature of the water supply and return as an example, the specific control process is as follows:
the data acquisition module 1 acquires a typical room temperature Tn, an outdoor temperature Tw and an average temperature Tpj of water supply and return at corresponding moments of the heating power station every N hours; the typical room temperature Tn is calculated from a typical room temperature model.
The data processing module 2 presets a target typical room temperature Tn0 and judges whether the temperature difference between the typical room temperature Tn and the target typical room temperature Tn0 reaches a set threshold value or not; if the set threshold is not reached, recording the typical room temperature Tn, the outdoor temperature Tw and the average temperature Tpj of the water supply and return as historical effective data; if the set threshold is reached, calculating an expected water supply average temperature Tyq by an expected temperature calculation model, and taking the expected water supply average temperature Tyq as a local control instruction to adjust the water supply temperature of the heating power station;
the expected temperature calculation model is:
Tyq＝R 1 (Tn-Tw)+R 2 Tn；
wherein R is 1 The temperature characteristic parameter is the indoor and outdoor temperature difference; r is R 2 Is a temperature characteristic parameter of a typical room temperature.
Temperature characteristic parameter R of indoor and outdoor temperature difference 1 And a temperature characteristic parameter R of typical room temperature 2 After the heat station is heated and stably operated for a period of time, calculating the temperature characteristic parameters of the corresponding indoor and outdoor temperature differences and the temperature characteristic parameters of the typical room temperature under different working conditions, continuously recording for at least N days, and obtaining the average value corresponding to the temperature characteristic parameters of the indoor and outdoor temperature differences and the temperature characteristic parameters of the typical room temperature as the corresponding temperature characteristic parameters R of the indoor and outdoor temperature differences 1 And a temperature characteristic parameter R of typical room temperature 2 The calculation result of the expected average temperature Tyq of the supplied water is more accurate, and the adjustment temperature generated in the subsequent temperature adjustment step of the heating station is ensured to ensure that the heating station can always operate in an optimal state.
The data processing module 2 adjusts the water supply temperature according to the set step after obtaining the expected water supply average temperature Tyq;
the step length setting method comprises the following steps:
obtaining a water supply temperature difference according to the water supply temperature difference calculation model;
obtaining a set step length according to the water supply temperature difference by using a step length calculation model;
obtaining the regulating temperature of the heating station according to the step length by using a temperature regulating model;
the water supply temperature difference calculation model is as follows:
ΔT＝Tyq-Tpj；
the step size calculation model is as follows:
S＝ΔT/n，n≥2；
the temperature regulation model is as follows:
T＝Tpj+S。
by the application of the method, the average temperature of the water supply and return of the heating power station can be always heated according to the expected average temperature of the water supply and return, and the average temperature of the water supply and return of the heating power station is subjected to self-adaptive temperature regulation, so that the heating power station always operates in an optimal operation state, autonomous and controllable operation state of the heating power station is realized, and the automation level is improved.
The communication module 3 is configured to upload a local control instruction and an operation parameter to the cloud platform, and send a cloud control instruction generated by the cloud platform to the control module 4.
Specifically, the communication module 3 communicates with a cloud platform (cloud) to realize transmission and interaction of operation parameter data so as to monitor and manage the operation state of the thermal station. Meanwhile, the operation state of the heating power station is predicted and optimized through the cloud algorithm model, and the stability of the heating power station is further improved.
The control module 4 is configured to form a local control mode according to the local control instruction or form a cloud control mode according to the cloud control instruction, and control and monitor an operation state of the heat station through the local control mode or the cloud control mode.
Specifically, the control module 4 receives an instruction (may be a local control instruction or a cloud control instruction) issued by the data processing module 2, controls an operation state of the heat station through automatic control equipment such as a PLC or intelligent equipment, monitors the operation state of the heat station, and ensures that the operation parameters are consistent with the instruction calculated by the data processing module 2.
That is, the control module 4 controls and monitors the operation state of the thermal station through the automation control device and/or the intelligent device of the thermal station by using the local control command or the cloud control command.
More specifically, after the control module 4 issues the local control instruction or the cloud control instruction, the actual operation parameter of the thermal station is read in real time through the data acquisition module 1, the actual operation parameter is compared with the expected control parameter, when the actual operation parameter deviates from the expected control parameter, deviation feedback data are generated, the deviation feedback data are returned to the data processing module 2 or the cloud platform, the data processing module 2 and the cloud platform correspondingly perform continuous optimization on the local control instruction or the cloud control instruction, and the stability of the thermal station is further improved.
And the mode switching module 5 is used for switching the local control mode and the cloud control mode.
Specifically, the edge calculator of the invention can realize flexible switching between edge calculation (local control mode) and cloud calculation (cloud control mode). The control is automatically taken over when the cloud is disconnected, so that the continuity and stability of the thermodynamic station system are guaranteed, and meanwhile, the system has the advantages of centralized control, efficient operation, reliable management and the like, and a foundation is laid for intelligent management and operation of the thermodynamic station. Cloud edge coordination can coordinate control tasks of the cloud end and the edge calculator, and different tasks are respectively processed at the cloud end and the edge, so that intelligent adjustment of the system is realized.
More specifically, the switching control modes of the edge computing and the cloud computing (i.e., the switching control modes of the local control mode and the cloud control mode) are as follows: the mode switching module 5 selects a cloud control mode according to the remote control request or the fact that the data processing module 2 is not updated as required; when the communication module 3 and the network of the cloud platform are interrupted, the mode switching module 5 selects a local control mode; when the mode switching module 5 selects the cloud control mode, the local control mode is controlled to stop; when the mode switching module 5 selects the local control mode, the cloud control mode is controlled to stop.
Cloud edge cooperation establishes a linkage relation between computing capacity and communication capacity through intelligent hardware and software support on the basis of cloud computing and edge computing, and visual, intelligent and efficient operation management is achieved. The computing task is completed through cooperation between the cloud computing center and the edge end, the cloud is mainly responsible for data acquisition, processing and analysis, and the edge calculator is mainly used for realizing on-site real-time adjustment and guaranteeing efficient operation of the system.
Of course, the edge calculator provided by the invention can also combine technologies such as internet of things, digitalization and intellectualization, combines functions such as full network balance, intelligent scheduling, load prediction, two-network balance, room temperature intelligent management, intelligent analysis, intelligent diagnosis, fault alarm, intelligent inspection and the like in an intelligent heat supply management cloud platform and an intelligent heat supply digital twin management platform, establishes a self-learning full network load prediction system based on weather factors such as sunlight, temperature, humidity, wind speed and wind direction, combines heat utilization characteristics, historical data, heat inertia and heat supply delay, guides heat source production loads under different working conditions, and performs intelligent control through the edge calculator to realize full flow management of source network line station users and full flow optimization of source network line users of self-sensing, self-analysis, self-diagnosis and self-decision.
As shown in fig. 2 and fig. 3, the present invention further provides a control system for a thermal station, where the control system includes a plurality of edge calculators as described above, each edge calculator is communicatively connected to a corresponding intelligent device and an automation control device in the thermal station, all edge calculators are communicatively connected to a cloud platform, and the communication connection manner may be wireless connection or wired connection, and the cloud platform uses a router to construct a communication link with all edge calculators.
Specifically, the cloud processes all uploaded datasets and the edge calculator processes datasets for a single thermal station. The edge calculator can collect data of the existing intelligent equipment and the automatic control equipment, and can transmit the processed data to the existing intelligent equipment and the automatic control equipment, so that the issuing of instructions and the control of states are realized. The intelligent equipment and the automatic control equipment read the equipment parameters and the running state in the heating power station, and control the start and stop of the equipment. The intelligent device and the automatic control device are connected with the data transmission unit DTU through an RS-485 serial port, the DTU is accessed to the Internet through a wireless router, and local data is sent to the cloud platform in a transparent transmission mode.
In this embodiment, the operation of a single thermal station may be controlled by the edge calculator, and the operation parameters of a plurality of thermal stations may be summarized by the cloud platform, and corresponding control parameters may be generated for the operation parameters of the corresponding thermal stations. The whole process of the control and monitoring process automatically runs, no artificial excessive intervention is needed, and the distributed control of a plurality of heating stations is realized through a simple architecture.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
Furthermore, in the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
The above description is only of the preferred embodiments of the present invention, and is not intended to limit the invention, but any modifications, equivalents, and simple improvements made within the spirit of the present invention should be included in the scope of the present invention.
Claims (9)
1. An edge calculator for a thermal station, comprising:
the data acquisition module is used for acquiring the operation parameters of the heating power station;
the data processing module is used for generating a local control instruction for controlling the operation of the heating power station according to the operation parameters;
the communication module is used for uploading the local control instruction and the operation parameters to the cloud platform and transmitting the cloud control instruction generated by the cloud platform to the control module;
the control module is used for forming a local control mode according to the local control instruction or forming a cloud control mode according to the cloud control instruction, and controlling and monitoring the operation state of the heating power station through the local control mode or the cloud control mode.
2. An edge calculator for a thermodynamic station as claimed in claim 1, further comprising:
and the mode switching module is used for switching the local control mode and the cloud control mode.
3. An edge calculator for a thermal station according to claim 1, wherein the data acquisition module acquires a typical room temperature Tn, an outdoor temperature Tw, and an average supply return water temperature Tpj at corresponding times of the thermal station every N hours;
the data processing module presets a target typical room temperature Tn0 and judges whether the temperature difference between the typical room temperature Tn and the target typical room temperature Tn0 reaches a set threshold value or not; if the set threshold is not reached, recording the typical room temperature Tn, the outdoor temperature Tw and the average temperature Tpj of the water supply and return as historical effective data; if the set threshold is reached, calculating an expected water supply average temperature Tyq by an expected temperature calculation model, and taking the expected water supply average temperature Tyq as a local control instruction to adjust the water supply temperature of the heating power station;
the expected temperature calculation model is as follows:
Tyq＝R 1 (Tn-Tw)+R 2 Tn；
wherein R is 1 The temperature characteristic parameter is the indoor and outdoor temperature difference; r is R 2 Is a temperature characteristic parameter of a typical room temperature.
4. An edge calculator for a thermal station according to claim 3, wherein the data processing module adjusts the water supply temperature according to a set step size after obtaining an expected water supply average temperature Tyq;
the step length setting method comprises the following steps:
obtaining a water supply temperature difference according to the water supply temperature difference calculation model;
obtaining a set step length according to the water supply temperature difference by using a step length calculation model;
obtaining the regulating temperature of the heating station according to the step length by using a temperature regulating model;
the water supply temperature difference calculation model is as follows:
ΔT＝Tyq-Tpj；
the step length calculation model is as follows:
S＝ΔT/n，n≥2；
the temperature regulation model is as follows:
T＝Tpj+S。
5. an edge calculator for a thermal station according to claim 1, wherein the data acquisition module acquires the operating parameters of the thermal station via an automated control device and/or an intelligent device of the thermal station.
6. An edge calculator for a thermal station according to claim 1, wherein the control module controls and monitors the operating state of the thermal station by means of an automation control device and/or an intelligent device of the thermal station with local control instructions or cloud control instructions.
7. The edge calculator for the thermal station according to claim 6, wherein the control module reads the actual operation parameters of the thermal station in real time through the data acquisition module after issuing the local control command or the cloud control command, compares the actual operation parameters with the expected control parameters, generates deviation feedback data when the actual operation parameters deviate from the expected control parameters, returns the deviation feedback data to the data processing module or the cloud platform, and the data processing module and the cloud platform correspondingly optimize the local control command or the cloud control command continuously.
8. The edge calculator for a thermal station of claim 2, wherein the mode switching module selects the cloud control mode according to a remote control request or a data processing module not updated as needed; when the communication module and the network of the cloud platform are interrupted, the mode switching module selects a local control mode; when the mode switching module selects a cloud control mode, the local control mode is controlled to stop; when the mode switching module selects the local control mode, the cloud control mode is controlled to stop.
9. A control system for a thermal station, the control system comprising a plurality of edge calculators as claimed in claims 1 to 8, each of the edge calculators being communicatively connected to a respective intelligent device and automation control device within the thermal station, all of the edge calculators being communicatively connected to a cloud platform, the cloud platform using routers to establish a communication link with all of the edge calculators.
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