CN102305451A - Mixed ground source heat pump monitoring system and method based on health assessment technology - Google Patents
Mixed ground source heat pump monitoring system and method based on health assessment technology Download PDFInfo
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Abstract
The invention belongs to the technical field of monitoring of ground source heat pump air conditioners and relates to a mixed ground source heat pump monitoring system and method based on a health assessment technology, and the system and method can be used for solving the technical problems that the development of the monitoring and controlling technology of the existing ground source heat pump mixed system is not perfect enough and the like. The monitoring system comprises a monitoring subsystem, a load forecasting subsystem and a health assessment subsystem, wherein the health assessment subsystem and a controlling subsystem are connected. The monitoring method comprises the following steps: using the monitoring subsystem to collect data and store the data into a data storage device; using the load forecasting subsystem to extract the data collected by the monitoring subsystem, perform load forecasting and further store the load forecast data into the data storage device again; using the health assessment subsystem to store health index into the data storage device; and using the controlling system to control correspondingly. The system provided by the invention has the advantages that the health condition is assessed reasonably, the automation level of the system is improved, the labor intensity of management is reduced, and the cold and hot balance during the long term operation of the system is ensured; and the economical efficiency of the system under the condition of short term operation is ensured and the like.
Description
Technical Field
The invention belongs to the technical field of ground source heat pump air conditioner monitoring, relates to a hybrid ground source heat pump central air conditioning system, and particularly relates to a hybrid ground source heat pump monitoring system and method based on a health assessment technology.
Background
Due to differences of climate, soil characteristics and building types in various regions, a single ground source heat pump system is not applicable, so that an optimum heating ventilation air conditioning system solution is established by comprehensively utilizing energy sources such as solar energy, ice cold storage equipment, surface water, shallow geothermal energy and the like according to local conditions. The biggest problem of the design scheme is the later-stage operation control, and aiming at different conditions, an operation control strategy with good energy-saving property, economy, comfort and reliability needs to be selected. However, the research on the monitoring system of the ground source heat pump has not attracted enough attention, and the monitoring and control technology development of the ground source heat pump hybrid system is not complete enough in spite of the current research situation at home and abroad. At present, the domestic monitoring and control of a ground source heat pump hybrid system are only in a preliminary exploration stage, and the existing achievements have certain defects.
Chinese patent document discloses a remote information monitoring system for ground source heat pump central air conditioner and a method thereof [ application number: CN200910089636.7], the system is composed of a central air-conditioning group data acquisition station, a system network and a monitoring center, wherein the central air-conditioning group data acquisition station is responsible for acquiring real-time parameters of the operation of the central air-conditioning unit and transmitting the parameters to the monitoring center via the system network. The scheme also provides a method for monitoring the central air conditioning unit by using the system. The scheme realizes the centralized monitoring and control of the operation parameters of the central air-conditioning system, can be used for unattended operation on site, and improves the economic benefit of enterprises. However, the above scheme mainly aims at a single ground source heat pump air conditioning system, and in practical engineering application, a hybrid ground source heat pump system is more adopted, so that the practical popularization significance of the invention is not great.
Zhang Xiaoli et al, in WebAccess-based ground source heat pump remote monitoring system research and implementation, propose to solve the traditional ground source heat pump monitoring through the application of controller, touch screen technology and Internet configuration software technology, the method improves the automation degree of the system, improves the capability in the aspect of human-computer interaction, and enables users to operate the system according to actual needs. Song Zhenlong et al propose a remote monitoring system for ground source heat pump unit equipment by using LabVIEW in LabVIEW-based remote monitoring system for ground source heat pump unit equipment, and the remote monitoring control system has the advantages of convenience in operation, flexibility and upgradability, and the like, and users do not need to report unit data by telephone, thereby greatly improving the working efficiency. However, both the two control methods are monitoring methods for a single ground source heat pump air conditioning system, and the popularization significance is not great. And a scientific and accurate method for evaluating the system running condition is not provided, so that the control target is difficult to achieve, and the optimal control of the hybrid ground source heat pump system cannot be realized.
Disclosure of Invention
The invention aims to solve the problems and provides a hybrid ground source heat pump monitoring system based on a health assessment technology, which can accurately calculate the optimal adjustment time and realize real-time adjustment.
Another objective of the present invention is to provide a hybrid ground source heat pump monitoring method based on health assessment technology, which is easy to implement and simple to operate.
In order to achieve the purpose, the invention adopts the following technical scheme: the hybrid ground source heat pump monitoring system based on the health assessment technology is characterized by comprising a monitoring subsystem, a load prediction subsystem and a health assessment subsystem, wherein the monitoring subsystem can monitor the working condition of a hybrid ground source heat pump and/or the working environment of the hybrid ground source heat pump, the load prediction subsystem can acquire real-time monitoring data and/or weather forecast data of the monitoring subsystem and predict the load of the hybrid ground source heat pump according to the data, historical monitoring data of the monitoring subsystem and load prediction data of the load prediction subsystem can be acquired, so that the working health condition of the hybrid ground source heat pump is assessed, and the health assessment subsystem is connected with a control subsystem which can control the hybrid ground source heat pump to adjust the working state in real time according to the health index of the health assessment subsystem.
In the hybrid ground source heat pump monitoring system based on the health assessment technology, the monitoring subsystem comprises a plurality of sensors, the sensors are connected with communication equipment, the communication equipment is connected with an upper computer in a wired or wireless communication mode, and a data memory is connected to the upper computer.
In the hybrid ground source heat pump monitoring system based on the health assessment technology, the sensors include any one or more of a flow sensor capable of detecting the flow of the buried pipe, a temperature sensor capable of detecting the water temperature at the inlet and the outlet of the buried pipe, a temperature sensor capable of detecting the temperature of the underground soil, a temperature sensor capable of detecting the outdoor temperature and a humidity sensor capable of detecting the outdoor humidity.
In the hybrid ground source heat pump monitoring system based on the health assessment technology, the load prediction subsystem comprises a load prediction module, the load prediction module is connected with a weather forecast input module and the data storage, and the data storage is connected with the health assessment subsystem.
In the hybrid ground source heat pump monitoring system based on the health assessment technology, the monitoring subsystem further includes a timing module capable of detecting the accumulated on-time of the auxiliary cold and heat source in a unit time, and the timing module is connected with the data storage.
In the above-mentioned hybrid ground source heat pump monitoring system based on the health assessment technology, the control subsystem is respectively connected to the heat pump unit, the buried pipe switching mechanism of the buried pipe, and the auxiliary cold/heat source switching mechanism of the auxiliary cold/heat source, and the auxiliary cold/heat source includes any one or more of a cooling tower, a solar device, an ice storage device, and a surface water device.
A hybrid ground source heat pump monitoring method based on health assessment technology is characterized in that a monitoring subsystem periodically collects various data of a hybrid ground source heat pump and/or various data of a working environment of the hybrid ground source heat pump and stores the data into a data memory; the load forecasting subsystem periodically extracts historical detection data collected by the monitoring subsystem in the data memory and forecasts the load by combining weather forecast information, and then stores the load forecasting data into the data memory; the health evaluation subsystem periodically extracts real-time detection data acquired by the monitoring subsystem from the data memory to perform various evaluations and then stores the health index into the data memory; the control subsystem periodically accesses the data storage and correspondingly controls the hybrid ground source heat pump according to the health index of the health evaluation subsystem and the load prediction data generated by the load prediction subsystem.
In the above hybrid ground source heat pump monitoring method based on the health assessment technology, the load prediction subsystem obtains the heat exchange amount of the hybrid ground source heat pump on the same day according to the data collected by the monitoring subsystem: qn＝CρV(Tni-Tno)；
Wherein Q isnThe heat exchange quantity of the ground source side on the same day; cp is the product of the specific heat and the density of water; t isniThe water inlet temperature of the ground source side is measured; t isnoThe temperature of the outlet water at the ground source side; vnIs ground source side traffic;
and then predicting the heat exchange amount of the hybrid ground source heat pump in the next working day by combining weather forecast information:
wherein Q is(n+1)fThe predicted value of the heat exchange quantity of the ground source heat pump in the next working day is obtained; qnThe heat exchange quantity of the ground source side on the same day; temp(n+1)fThe representative temperature for the weather forecast on the next day; temp(n+1)fFor forecasting the highest temperature of the dayAverage to minimum temperature; cwCorrecting the coefficients for the next workday weather factor, where C is heavy rainwNot more than 0.75, C in medium rainwNot more than 0.8, C in light rainwNot more than 0.85, C in cloudy dayswNot more than 0.9, cloudy CwNot more than 0.95, C in sunny dayswIs 1.
In the above hybrid ground source heat pump monitoring method based on the health assessment technology, the health index is fully divided into 100 points, and a higher value indicates that the hybrid ground source heat pump is healthier, and the calculation formula of the health index is as follows:
wherein,
for short-term fluctuating terms, TobFor optimum outlet temperature, 22-28 in summer and 12-18 in winter; t isowThe worst outlet temperature is 28-32 in summer and 4-6 in winter; t isnoIs the current outlet temperature;
c abovet、Cq、
And CfWeight factors of the short-term fluctuation term, the load fluctuation term, the long-term fluctuation term and the auxiliary cold and heat source fluctuation term, respectively, Ct、Cq、
And CfThe sum of C is 1 and 0.4-Ct≤0.5、0.25≤Cq≤0.35、 <math>
<mrow>
<mn>0.15</mn>
<mo>≤</mo>
<msubsup>
<mi>C</mi>
<mi>ts</mi>
<mo>′</mo>
</msubsup>
<mo>≤</mo>
<mn>0.25</mn>
<mo>,</mo>
</mrow>
</math> 0.05≤Cf≤0.15。
In the above hybrid ground source heat pump monitoring method based on the health assessment technology, the control subsystem determines a control strategy according to the design requirements of the hybrid ground source heat pump, and adjusts the operation of the hybrid ground source heat pump in real time according to the health index and the control strategy.
Compared with the prior art, the hybrid ground source heat pump monitoring system and method based on the health assessment technology have the advantages that: the health condition of the current hybrid ground source heat pump system can be reasonably evaluated by monitoring and controlling the hybrid ground source heat pump, and the operation of the system is dynamically adjusted according to the change of the health condition, so that the system can reach design parameters and operate in the most reliable mode under various conditions, the use effect of the system is ensured, the automation level of the system is improved, and the management labor intensity is reduced. The cold and heat balance of the system under the long-term operation condition is ensured; the system is ensured to meet the economical efficiency under the short-term operation condition.
Drawings
FIG. 1 is a schematic diagram of the structure provided by the present invention.
In the figure, a monitoring subsystem 1, a communication device 10, a flow sensor 11, a temperature sensor 12, a humidity sensor 13, a load prediction subsystem 2, a load prediction module 21, a weather forecast input module 22, a health assessment subsystem 3, a control subsystem 4, an upper computer 5, a data storage 6, a timing module 7, a heat pump unit a, a buried pipe B, a buried pipe switching mechanism B1, an auxiliary cold and heat source C, an auxiliary cold and heat source switching mechanism C0, a cooling tower C1, a solar device C2, an ice cold storage device C3 and a surface water device C4.
Detailed Description
As shown in fig. 1, the hybrid ground source heat pump monitoring system based on the health assessment technology includes a monitoring subsystem 1 capable of monitoring the working condition of the hybrid ground source heat pump and/or the working environment of the hybrid ground source heat pump, a load prediction subsystem 2 capable of acquiring real-time monitoring data and/or weather forecast data of the monitoring subsystem 1 and predicting the load of the hybrid ground source heat pump according to the data, and a health assessment subsystem 3 capable of acquiring historical monitoring data of the monitoring subsystem 1 and load prediction data of the load prediction subsystem 2 to assess the working health condition of the ground source hybrid heat pump. The health evaluation subsystem 3 is connected with a control subsystem 4 which can control the hybrid ground source heat pump to adjust the working state in real time according to the health index of the health evaluation subsystem 3. That is, the present invention is composed of four subsystems, which are a monitoring subsystem 1, a health assessment subsystem 3, a load prediction subsystem 2, and a control subsystem 4. The working environment of the hybrid ground source heat pump comprises underground soil temperature, outdoor temperature, humidity and the like.
In order to ensure the normal operation of the heat exchanger of the underground pipe, the temperature of underground soil needs to be in a reasonable range, particularly the central area of the underground pipe, the temperature and the flow of each measuring point need to be collected in time, and the temperature field of the soil, the water temperature of an inlet and an outlet and the related parameters of an auxiliary cold and heat source need to be obtained. The monitoring subsystem 1 comprises a plurality of sensors, the sensors are connected with a communication device 10, the communication device 10 is connected with an upper computer 5 in a wired or wireless communication mode, and a data storage 6 is connected to the upper computer 5. The sensors comprise any one or more of a flow sensor 11 capable of detecting the flow of the buried pipe, a temperature sensor 12 capable of detecting the water temperature of an inlet and an outlet of the buried pipe, a temperature sensor 12 capable of detecting the temperature of underground soil, a temperature sensor 12 capable of detecting the outdoor temperature and a humidity sensor 13 capable of detecting the outdoor humidity.
Because the ground source heat pump air conditioner has a heat accumulation effect, the long-time continuous operation can cause the reduction of the operation efficiency, and the timely adoption of the auxiliary cold and heat source can greatly improve the overall operation efficiency of the system. Therefore, the running time must be reasonably arranged, and the optimal control is carried out according to the load. There is a need for a system that accurately predicts load from various data to better regulate ground source heat pumps. The load forecasting subsystem 2 comprises a load forecasting module 21, a weather forecast input module 22 and the data memory 6 are connected to the load forecasting module 21, and the data memory 6 is connected to the health assessment subsystem 3. The monitoring subsystem 1 further comprises a timing module 7 capable of detecting the cumulative on-time of the auxiliary cold and heat source C in a unit time, wherein the timing module 7 is connected with the data storage 6 through the communication device 10. The control subsystem 4 is respectively connected with a heat pump unit A, a ground buried pipe switching mechanism B1 of a ground buried pipe B and an auxiliary cold and heat source switching mechanism C0 of an auxiliary cold and heat source C, wherein the auxiliary cold and heat source C comprises any one or more of a cooling tower C1, a solar device C2, an ice cold storage device C3 and a surface water device C4.
A hybrid ground source heat pump monitoring method based on a health assessment technology comprises the following steps: the monitoring subsystem 1 periodically acquires various data of the hybrid ground source heat pump and/or various data of the working environment of the hybrid ground source heat pump and stores the data into the data memory 6; the load forecasting subsystem 2 periodically extracts historical detection data collected by the monitoring subsystem 1 in the data memory 6 and forecasts the load by combining weather forecast information, and then stores the load forecasting data into the data memory 6; the health assessment subsystem 3 periodically extracts real-time detection data acquired by the monitoring subsystem 1 from the data storage 6 for various assessments and then stores the health index into the data storage 6; the control subsystem 4 periodically accesses the data storage 6 and correspondingly controls the hybrid ground source heat pump according to the health index of the health evaluation subsystem 3 and the load prediction data generated by the load prediction subsystem 2.
The load forecasting subsystem 2 obtains the heat exchange quantity of the hybrid ground source heat pump on the same day according to the data collected by the monitoring subsystem 1: qn＝CρV(Tni-Tno)；
Wherein Q isnThe heat exchange quantity of the ground source side on the same day; cp is the product of the specific heat and the density of water; t isniThe water inlet temperature of the ground source side is measured; t isnoThe temperature of the outlet water at the ground source side; vnIs ground source side traffic;
and then predicting the heat exchange amount of the hybrid ground source heat pump in the next working day by combining weather forecast information:
wherein Q is(n+1)fThe predicted value of the heat exchange quantity of the ground source heat pump in the next working day is obtained; qnThe heat exchange quantity of the ground source side on the same day; temp(n+1)fThe representative temperature for the weather forecast on the next day; temp(n+1)fThe average value of the highest temperature and the lowest temperature of the forecast day is obtained; cwCorrecting the coefficients for the next workday weather factor, where C is heavy rainwNot more than 0.75, C in medium rainwNot more than 0.8, C in light rainwNot more than 0.85, C in cloudy dayswNot more than 0.9, cloudy CwNot more than 0.95, C in sunny dayswIs 1. In this example, Cw0.75 heavy rain, 0.8 medium rain, 0.85 light rain, 0.9 cloudy day, 0.95 cloudy day and 1 sunny day.
The health assessment subsystem 3 is a core part of the present invention. For the control of the hybrid ground source heat pump system, dynamic progressive control is required to achieve the balance of an underground temperature field, the health condition of the ground source heat pump system is required to be determined through real-time health assessment, and then timely and effective control measures are taken to ensure the normal and efficient operation of the system. The embodiment introduces a health index to represent the operation condition of the ground source heat pump system, wherein the full score is 100 points, and the higher the score is, the healthier the system is.
The health index is calculated by the formula:
wherein:for short-term fluctuating terms, TobFor optimum outlet temperature, summerThe season is 22-28, and the winter is 12-18; t isowThe worst outlet temperature is 28-32 in summer and 4-6 in winter; t isnoIs the current outlet temperature;
c abovet、Cq、
And CfWeight factors of the short-term fluctuation term, the load fluctuation term, the long-term fluctuation term and the auxiliary cold and heat source fluctuation term, respectively, Ct、Cq、
CfThe sum of the additions is 1 and C is more than or equal to 0.4t≤0.5、0.25≤Cq≤0.35、
0.05≤CfLess than or equal to 0.15. In this example, Ct、Cq、
And Cf0.4, 0.3, 0.2 and 0.1, respectively. More specifically, the health index of the ground source heat pump system comprises four indicators, among which:
the first term is a short-term variation term, and the health condition of the ground source heat pump system is evaluated according to the short-term variation of the source-side outlet water temperature. T isobFor optimum outlet temperature, typically 26 in summer and 15 in winter; t isowThe worst outlet temperature is generally 31 in summer and 5 in winter; t isnoIs the current outlet temperature;
the second item is a load change item, and the load change condition of the system is represented by predicting the load of the next working day according to the load prediction subsystem. QnFor the current working day load, Q(n+1)fLoad prediction value for next working day;
the third term is a long-term change term, and the health condition of the pipe-laying heat exchanger is evaluated according to the long-term change condition of the underground soil temperature field;
the soil temperature, T, of the same period of the last yearnsThe current soil temperature; t isnsbFor optimum soil temperature, typically 15 in summer and 25 in winter;
the fourth term is an auxiliary cold and heat source variation term, which relates to the usage time of the auxiliary cold and heat source, and the value of the term is larger as the usage time of the auxiliary cold and heat source is longer, and the value of the term is smaller as the usage time of the auxiliary cold and heat source is shorter.
The control subsystem 4 determines a control strategy according to the design requirements of the hybrid ground source heat pump, and adjusts the operation of the hybrid ground source heat pump in real time according to the health index and the control strategy. The hardware components of the control subsystem 4 mainly include: the system comprises an upper computer, a programmable controller, and controlled equipment such as an electromagnetic valve and a water pump. The industrial personal computer sends out instructions and controls various devices in real time through the field controller. Generally, the auxiliary cold (heat) source is activated when the health index of the heat pump of the local source is lower, and the lower the health index is, the larger the share of refrigeration (heating) borne by the auxiliary cold (heat) source is. In the refrigeration working condition, if the health index is lower, an auxiliary cold source is started, such as a cooling tower, an ice storage or air cooling heat pump and the like; in the heating condition, an auxiliary heat source such as solar energy, a boiler or an air-cooled heat pump is used when the health index is low.
The working process is as follows:
1. setting Ct、Cq、
Cf、Tow、Tob、Cρ、TnsbAnd Cw；
2. Reading the ground source side outlet water temperature T from the data storage 6noSide water inlet temperature T of ground sourceniGround source side flow Vn、Q(n-1)、Qn、Temp(n+1)f、
TnsCalculating Qn＝CρV(Tni-Tno)；
3. Predicting load of n +1 day
4. Calculating a health index:
the control strategy is introduced by taking a ground source heat pump and cooling tower type hybrid system as an example, wherein a cold and heat source of the hybrid ground source heat pump system is mainly an underground pipe heat exchanger, and a cooling tower is an auxiliary cold source.
During refrigerating operation in summer, the operation modes mainly include:
(1) the buried pipe is used as a single cooling source;
(2) the pipe burying and the cooling tower are simultaneously used as cold sources for the unit operation, and the pipe burying heat exchanger is connected with the cooling tower in series;
(3) stopping or partially starting, wherein the control of the part is more conventional and is not described in detail;
the operation mode 1 is the main operation mode of the system, is most economical and energy-saving and is suitable for the working condition with low load in summer.
The operation mode 2 is a high-load operation mode of the system, is economical and energy-saving, and is suitable for working conditions with high load in summer. Because the refrigeration efficiency of the cooling tower is greatly influenced by the outdoor environment temperature, the lower the outdoor temperature is, the higher the operation efficiency of the cooling tower is, so that the optimal operation time is, morning: 0 o 'clock to 8 o' clock, night: 16 o 'clock to 24 o' clock, day: 8 to 16 points;
the operation mode 3 is a low-load operation mode of the system, and the shutdown or partial shutdown can recover the underground temperature field, thereby creating conditions for the efficient operation of the unit.
Defining three open time periods of the cooling tower, t1: 16 points to 24 points, t2: 24 o 'clock to the next day 8 o' clock, t3: from 8 to 16 points in minutes.
The specific control strategy is as follows:
when 100 ≧ Hn+1At > 50, t1＝9.6*(100-Hn+1)，t2＝0，t3＝0；
When 50 is more than or equal to Hn+1At > 20, t1＝480，t2＝16(50-Hn+1)，t3＝0；
When 20 is more than or equal to Hn+1When t is1＝480，t2＝480，t3＝24(20-Hn+1)
The invention can ensure the cold and heat balance of the system under the long-term operation condition: the technical specification GB50366-2005 of the ground source heat pump system stipulates: the design of the buried pipe heat exchange system is to carry out annual dynamic load calculation, and the minimum calculation period is preferably 1 year. In the calculation period, the total heat release amount of the ground source heat pump system is preferably balanced with the total heat absorption amount thereof. In southern areas, the cold load in summer is far greater than the heat load in winter, namely the heat input to the underground by the ground source heat pump exceeds the absorbed heat, and the heat is accumulated in the underground, so that the soil temperature is increased year by year, and the heat exchange efficiency of the heat exchanger is reduced. When the temperature rise of the soil reaches a certain limit value, even the ground source heat pump loses the function. Therefore, the cold-heat balance of the system under long-term operation conditions must be ensured. The system mainly adjusts the starting time of the ground source heat pump by monitoring the change of the underground temperature field.
The invention can ensure that the system meets the economical efficiency under the short-term operation condition: under the condition of short-term operation, the temperature field of the ground source heat pump buried pipe heat exchanger can fluctuate, so that the performance of the system is influenced. Under the condition of low load intensity, the energy efficiency of the ground source heat pump is high, and the ground source heat pump is generally adopted to operate independently and economically. When the load is large, the temperature of the underground temperature field is increased due to long-time operation, the performance of the ground source heat pump air conditioner is gradually reduced, and the heat exchange capacity is finally lost, so that the change of the underground temperature field needs to be monitored in real time, and the ground source heat pump and the cooling tower are adopted for combined refrigeration when necessary. The system mainly adjusts the starting time of the ground source heat pump by monitoring the change of the temperature of the side water inlet of the ground source.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although terms such as the monitoring subsystem 1, the communication device 10, the flow sensor 11, the temperature sensor 12, the humidity sensor 13, the load prediction subsystem 2, the load prediction module 21, the weather forecast input module 22, the health assessment subsystem 3, the control subsystem 4, the upper computer 5, the data storage 6, the timing module 7, the heat pump unit a, the buried pipe B, the buried pipe switching mechanism B1, the auxiliary cold and heat source C, the auxiliary cold and heat source switching mechanism C0, the cooling tower C1, the solar device C2, the ice cold storage device C3, and the surface water device C4 are used more often, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (10)
1. A hybrid ground source heat pump monitoring system based on a health assessment technology is characterized by comprising a monitoring subsystem (1) capable of monitoring the working condition of a hybrid ground source heat pump and/or the working environment of the hybrid ground source heat pump, a load prediction subsystem (2) capable of acquiring real-time monitoring data and/or weather forecast data of the monitoring subsystem (1) and predicting the load of the hybrid ground source heat pump according to the data, a health assessment subsystem (3) capable of acquiring historical monitoring data of the monitoring subsystem (1) and load prediction data of the load prediction subsystem (2) so as to assess the working health condition of the hybrid ground source heat pump, the health evaluation subsystem (3) is connected with a control subsystem (4) which can control the hybrid ground source heat pump to adjust the working state in real time according to the health index of the health evaluation subsystem (3).
2. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 1, wherein the monitoring subsystem (1) comprises a plurality of sensors, the sensors are connected with a communication device (10), the communication device (10) is connected with the upper computer (5) through a wired or wireless communication mode, and a data storage (6) is connected with the upper computer (5).
3. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 2, wherein the sensors comprise any one or more of a flow sensor (11) capable of detecting the flow of the buried pipe, a temperature sensor (12) capable of detecting the water temperature at the inlet and outlet of the buried pipe, a temperature sensor (12) capable of detecting the temperature of the underground soil, a temperature sensor (12) capable of detecting the outdoor temperature and a humidity sensor (13) capable of detecting the outdoor humidity.
4. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 2 or 3, wherein the load prediction subsystem (2) comprises a load prediction module (21), a weather forecast input module (22) and the data storage (6) are connected to the load prediction module (21), and the data storage (6) is connected to the health assessment subsystem (3).
5. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 4, wherein the monitoring subsystem (1) further comprises a timing module (7) capable of detecting the accumulated on-time of the auxiliary cold and heat source (C) per unit time, and the timing module (7) is connected to the data storage (6).
6. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 5, wherein the control subsystem (4) is respectively connected to the heat pump unit (a), the ground pipe switching mechanism (B1) of the ground pipe (B) and the auxiliary cold/heat source switching mechanism (C0) of the auxiliary cold/heat source (C), and the auxiliary cold/heat source (C) comprises any one or more of a cooling tower (C1), a solar energy device (C2), an ice cold storage device (C3) and a surface water device (C4).
7. A hybrid ground source heat pump monitoring method based on health assessment technology is characterized in that a monitoring subsystem (1) periodically acquires various data of a hybrid ground source heat pump and/or various data of a working environment of the hybrid ground source heat pump and stores the data into a data memory (6); the load forecasting subsystem (2) periodically extracts historical detection data collected by the monitoring subsystem (1) in the data memory (6) and forecasts the load by combining weather forecast information, and then stores the load forecasting data into the data memory (6); the health assessment subsystem (3) periodically extracts real-time detection data acquired by the monitoring subsystem (1) from the data memory (6) for various assessments and then stores the health index into the data memory (6); the control subsystem (4) periodically accesses the data storage (6) and correspondingly controls the hybrid ground source heat pump according to the health index of the health evaluation subsystem (3) and the load prediction data generated by the load prediction subsystem (2).
8. The hybrid ground source heat pump monitoring system based on the health assessment technology as claimed in claim 7, wherein the load prediction subsystem (2) derives the heat exchange capacity of the hybrid ground source heat pump on the same day according to the data collected by the monitoring subsystem (1): qn＝CρV(Tni-Tno)；
Wherein Q isnThe heat exchange quantity of the ground source side on the same day; cp is the product of the specific heat and the density of water; t isniThe water inlet temperature of the ground source side is measured; t isnoThe temperature of the outlet water at the ground source side; vnIs ground source side traffic;
and then predicting the heat exchange amount of the hybrid ground source heat pump in the next working day by combining weather forecast information:
wherein Q is(n+1)fThe predicted value of the heat exchange quantity of the ground source heat pump in the next working day is obtained; qnThe heat exchange quantity of the ground source side on the same day; temp(n+1)fThe representative temperature for the weather forecast on the next day; temp(n+1)fThe average value of the highest temperature and the lowest temperature of the forecast day is obtained; cwCorrecting the coefficients for the next workday weather factor, where C is heavy rainwNot more than 0.75, C in medium rainwNot more than 0.8, C in light rainwNot more than 0.85, C in cloudy dayswNot more than 0.9, cloudy CwNot more than 0.95, C in sunny dayswIs 1.
9. The system as claimed in claim 8, wherein the health index is 100 points and a higher score indicates a healthier hybrid ground source heat pump, and the health index is calculated by the following formula:
wherein,
for short-term fluctuating terms, TobFor optimum outlet temperature, 22-28 in summer and 12-18 in winter; t isowThe worst outlet temperature is 28-32 in summer and 4-6 in winter; t isnoIs the current outlet temperature;
as a load variation term, QnFor the current working day load, Q(n+1)fLoad prediction value for next working day;
in order to be a term of the long-term variation,
the soil temperature, T, of the same period of the last yearnsIs the current soil temperature, TnsbThe optimal soil temperature is 14-16 in summer and 24-26 in winter;
(9) Accumulating the opening time;
c abovet、Cq、And CfWeight factors of the short-term fluctuation term, the load fluctuation term, the long-term fluctuation term and the auxiliary cold and heat source fluctuation term, respectively, Ct、Cq、
And CfThe sum of C is 1 and 0.4-Ct≤0.5、0.25≤Cq≤0.35、
0.05≤Cf≤0.15。
10. The health assessment technology-based hybrid ground source heat pump monitoring system as claimed in claim 9, wherein the control subsystem (4) determines a control strategy according to the design requirements of the hybrid ground source heat pump, and adjusts the operation of the hybrid ground source heat pump in real time according to the health index and the control strategy.
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