CN115307350B - Ground source heat pump control system - Google Patents
Ground source heat pump control system Download PDFInfo
- Publication number
- CN115307350B CN115307350B CN202210975286.XA CN202210975286A CN115307350B CN 115307350 B CN115307350 B CN 115307350B CN 202210975286 A CN202210975286 A CN 202210975286A CN 115307350 B CN115307350 B CN 115307350B
- Authority
- CN
- China
- Prior art keywords
- maintenance
- air pressure
- heat pump
- source heat
- ground source
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012423 maintenance Methods 0.000 claims abstract description 105
- 238000004458 analytical method Methods 0.000 claims abstract description 46
- 238000000034 method Methods 0.000 claims abstract description 22
- 239000000498 cooling water Substances 0.000 claims abstract description 21
- 230000017525 heat dissipation Effects 0.000 claims abstract description 12
- 230000006399 behavior Effects 0.000 claims description 12
- 238000011156 evaluation Methods 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 230000005855 radiation Effects 0.000 claims description 8
- 230000007704 transition Effects 0.000 claims description 4
- 238000002156 mixing Methods 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D15/00—Other domestic- or space-heating systems
- F24D15/04—Other domestic- or space-heating systems using heat pumps
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
-
- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- 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
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B30/00—Heat pumps
- F25B30/06—Heat pumps characterised by the source of low potential heat
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Thermal Sciences (AREA)
- Signal Processing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a ground source heat pump control system, which relates to the technical field of ground source heat pumps and comprises an air pressure acquisition module, a temperature analysis module and a personnel scheduling module; the air pressure acquisition module is used for acquiring air pressure data in real time and sending the acquired air pressure data to the air pressure analysis module for validity analysis, and judging whether the power-pressure difference of the ground source heat pump needs to be adjusted or not; the temperature analysis module is used for analyzing the received temperature data, determining the cooling water flow rate of the corresponding condenser according to the heat dissipation coefficient and improving the heat dissipation efficiency; when the ground source heat pump fails, the personnel scheduling module is used for analyzing the allocation value of maintenance personnel, and selecting a primary selection personnel with the largest allocation value as a selection personnel to overhaul the ground source heat pump; and meanwhile, a person is selected to reach the position of the ground source heat pump, the overhaul process is recorded through the mobile phone terminal, and recorded overhaul videos are sent to the cloud platform, so that other maintenance staff can watch and learn, and the maintenance efficiency is improved.
Description
Technical Field
The invention relates to the technical field of ground source heat pumps, in particular to a ground source heat pump control system.
Background
The ground source heat pump is used as a novel, clean, environment-friendly and efficient energy technology, and has become an important strategy for developing renewable energy sources. The novel device for acquiring cold (heat) energy in soil and underground water by utilizing the temperature of the soil and the underground water which are relatively stable underground utilizes a medium, and the ground source heat pump realizes the transfer of low-temperature heat energy to high-temperature energy by inputting a small amount of high-quality energy (such as electric energy). The geothermal energy is used as a heat source for heating by a heat pump in winter and a cold source for an air conditioner in summer respectively, namely, the heat in the geothermal energy is taken out in winter, and after the temperature is increased, the geothermal energy is supplied for indoor heating; in summer, the indoor heat is taken out and released to the ground. When the electric energy is converted, the ground source heat pump inputs 1 part of electricity, 3-5 parts of heat can be extracted from the underground, and compared with an air conditioner and an electric heating sheet, the energy is saved.
However, when the ground source heat pump is overheated, the energy consumption of the ground source heat pump can be greatly increased, the energy consumption is increased, the existing ground source heat pump control system can not monitor the operation data of the ground source heat pump in real time and perform early warning analysis, so that the working efficiency of the ground source heat pump is reduced, and the ground source heat pump control system is provided based on the defects.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a ground source heat pump control system.
To achieve the above objective, an embodiment according to a first aspect of the present invention provides a ground source heat pump control system, including an air pressure acquisition module, an air pressure adjustment module, a temperature acquisition module, a fault uploading module, a personnel scheduling module, and a learning evaluation module;
The air pressure acquisition module is an air pressure sensor arranged at an air outlet of the ground source heat pump and is used for acquiring air pressure data in real time and sending the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating an air pressure deviation coefficient PL and judging whether the power-pressure difference of the ground source heat pump is required to be adjusted or not;
The temperature acquisition module is used for acquiring the temperatures of the inner wall and the outer wall of the pump shell in real time and transmitting the acquired temperature data to the temperature analysis module; the temperature analysis module is used for analyzing the received temperature data and determining the cooling water flow rate of the corresponding condenser according to the heat radiation coefficient TW;
when the ground source heat pump fails, the failure uploading module is used for recording and reporting and uploading failure problems by an administrator; the personnel scheduling module is used for carrying out the DP analysis on the maintenance personnel, selecting the primary selected personnel with the largest DP as the selected personnel, and overhauling the ground source heat pump;
meanwhile, a selected person arrives at the position of the ground source heat pump, records the overhaul process through the mobile phone terminal, and sends the recorded overhaul video to the cloud platform for other maintenance persons to watch and learn; the learning evaluation module is used for evaluating the maintenance learning value WN according to the video watching record of the maintenance personnel and storing the maintenance learning value WN to the cloud platform by time stamping.
Further, the specific analysis steps of the air pressure analysis module are as follows:
acquiring air pressure data of an exhaust port of the ground source heat pump, and comparing the air pressure data with a set value to obtain a differential pressure Ci; establishing a graph of the pressure difference Ci over time; if Ci is greater than the preset difference threshold, intercepting and marking a corresponding curve segment in the corresponding curve graph, and recording as a deviation curve segment;
Counting the number of deviation curve segments as P1 in a preset time, integrating the time by the difference value between the corresponding Ci on the deviation curve segments and a preset difference value threshold value, and summing to obtain deviation reference energy E1; calculating the air pressure deviation coefficient PL of the corresponding ground source heat pump by using a formula PL=P1×a1+E1×a2, wherein a1 and a2 are coefficient factors;
If PL is greater than a preset deviation threshold, generating an air pressure adjusting signal; the air pressure analysis module is used for transmitting an air pressure adjusting signal to the controller, and the controller drives and controls the air pressure adjusting module to adjust the air pressure after receiving the air pressure adjusting signal.
Further, the air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the pressure difference between the current air pressure data and the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference to enable the power to be matched with the pressure difference, so that the balance point is reached.
Further, the specific analysis steps of the temperature analysis module are as follows:
acquiring the temperature of the inner wall and the outer wall of the pump shell of the current ground source heat pump, and marking the temperature as T1 and T2 respectively; calculating the difference between T1 and T2 to obtain an internal and external temperature difference T3; using the formula Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
Determining the corresponding cooling water flow rate as L1 according to the heat dissipation coefficient TW; the method comprises the following steps: a comparison table of the heat radiation coefficient range and the cooling water flow rate threshold value is stored in the database;
The temperature analysis module is used for transmitting the corresponding cooling water flow rate L1 to the controller, and the controller is used for driving the temperature adjustment module to adjust the cooling water flow rate of the condenser flowing through the ground source heat pump to L1.
Further, the specific analysis process of the personnel scheduling module is as follows:
marking the maintenance personnel in the idle state as primary selection personnel; acquiring maintenance records of primary selection personnel in a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of primary selection personnel as C1; marking each maintenance time as WTi, marking the corresponding score as WPI, and calculating to obtain a maintenance value Wxi by using a formula Wxi= (WPi multiplied by q 1)/(WTi multiplied by q 2), wherein q1 and q2 are coefficient factors;
Comparing the maintenance value Wxi with a preset maintenance threshold value, and calculating to obtain a maintenance coefficient YW; automatically acquiring maintenance learning values WN of primary selection personnel from the cloud platform; the formulation value DP of the primary selector is calculated by using the formula dp=c1×b1+yw× b2+wn×b3, where b1, b2, b3 are coefficient factors.
Further, the specific calculation process of the Uighur coefficient YW is as follows:
Counting the times of WXi being larger than a preset maintenance threshold value as Zb, and when the WXi is larger than the preset maintenance threshold value, obtaining the difference value of the WXi and the preset maintenance threshold value and summing to obtain a maintenance overrun WZ; the maintenance coefficient YW is calculated by using the formula yw=zb×q3+wz×q4, wherein q3, q4 are coefficient factors.
Further, the specific evaluation steps of the learning evaluation module are as follows:
collecting video watching records of maintenance personnel in a preset time period; counting the total video watching times of maintenance personnel as M1, and marking the video watching time length of each time as MTi;
Counting the occurrence times of various conversion operation behaviors in the watching process, and calculating to obtain a conversion value ZHi in the corresponding watching process by combining the weight factors of the conversion operation behaviors stored in the database; the viewing value GKi is calculated by using a formula GKi =mti×r1+ ZHi ×r2, wherein r1 and r2 are coefficient factors;
summing all the watching values GKi and taking the average value to obtain a watching average value GM; calculating the time difference between the last watching ending time and the current time of the system to obtain a buffer duration HT;
Calculating to obtain a maintenance learning value WN of maintenance personnel by using a formula WN= (M1×r3+GM×r4)/(HT+u), wherein r3 and r4 are coefficient factors; u is an equalization factor.
Further, the video viewing record comprises a viewing start time, a viewing end time and a conversion operation behavior in a viewing process; the transition operation behavior includes pause, playback, and picture enlargement.
Compared with the prior art, the invention has the beneficial effects that:
1. The air pressure acquisition module is used for acquiring air pressure data in real time, sending the acquired air pressure data to the air pressure analysis module for effectiveness analysis, comparing the acquired air pressure data with a set value, and calculating to obtain an air pressure deviation coefficient PL of the corresponding ground source heat pump; if PL is greater than a preset deviation threshold, generating an air pressure adjusting signal; the air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the pressure difference between the current air pressure data and the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference to enable the power to be matched with the pressure difference so as to reach an equilibrium point; the ground source heat pump is ensured to work under rated working current, and overload phenomenon is avoided; the working efficiency of the ground source heat pump is improved;
2. the temperature acquisition module is used for acquiring the temperatures of the inner wall and the outer wall of the pump shell in real time; the temperature analysis module is used for analyzing the received temperature data and calculating to obtain a heat dissipation coefficient TW; determining the flow rate of cooling water of a corresponding condenser according to the heat radiation coefficient TW; the temperature adjusting module is used for controlling the flow rate of cooling water flowing through the ground source heat pump by the condenser and radiating the ground source heat pump; the heat dissipation efficiency is improved;
3. When the ground source heat pump fails, the personnel scheduling module is used for distributing corresponding maintenance personnel to overhaul the ground source heat pump; acquiring maintenance records of the primary selection personnel in a preset time, and calculating to obtain a blending value DP of the primary selection personnel by combining the total maintenance times, the maintenance optimal coefficient and the maintenance learning value; the primary selection personnel with the largest adjustment value DP are selected as the selection personnel, so that the overhaul efficiency is improved; the selected personnel arrive at the position of the ground source heat pump, and overhaul is carried out on the ground source heat pump; simultaneously, recording the overhaul process through the mobile phone terminal, and sending the recorded overhaul video to the cloud platform; other maintenance personnel can access the maintenance video of the cloud platform through the mobile phone terminal and watch the maintenance video, and learn more maintenance skills.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of a ground source heat pump control system according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the ground source heat pump control system comprises an air pressure acquisition module, an air pressure analysis module, a controller, an air pressure adjustment module, a temperature acquisition module, a temperature analysis module, a temperature adjustment module, a fault uploading module, a personnel scheduling module, a cloud platform, a database and a learning evaluation module;
The air pressure acquisition module is an air pressure sensor arranged at an air outlet of the ground source heat pump and is used for acquiring air pressure data in real time and sending the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating an air pressure deviation coefficient corresponding to the ground source heat pump and judging whether the power-pressure difference of the ground source heat pump needs to be adjusted or not;
the specific analysis steps of the air pressure analysis module are as follows:
Acquiring air pressure data of an air outlet of the ground source heat pump, and comparing the air pressure data with a set value to obtain a differential pressure Ci, wherein Ci is a positive number; establishing a graph of the pressure difference Ci over time; comparing the differential Ci with a preset differential threshold; if Ci is greater than the preset difference threshold, intercepting and marking a corresponding curve segment in the corresponding curve graph, and recording as a deviation curve segment;
Counting the number of deviation curve segments as P1 in a preset time, integrating the time by the difference value between the corresponding Ci on the deviation curve segments and a preset difference value threshold value, and summing to obtain deviation reference energy E1; normalizing the number of deviating curve segments and deviating reference energy, taking the values of the deviating curve segments and the deviating reference energy, and calculating by using a formula PL=P1×a1+E1×a2 to obtain an air pressure deviating coefficient PL of the corresponding ground source heat pump, wherein a1 and a2 are coefficient factors;
Comparing the air pressure deviation coefficient PL with a preset deviation threshold value; if PL is greater than a preset deviation threshold, generating an air pressure adjusting signal; the air pressure analysis module is used for transmitting an air pressure adjusting signal to the controller, and the controller drives and controls the air pressure adjusting module to adjust the air pressure after receiving the air pressure adjusting signal;
The air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the pressure difference between the current air pressure data and the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference to enable the power to be matched with the pressure difference so as to reach an equilibrium point; according to the invention, the pressure difference is controlled in real time through the air pressure sensor and the air pressure adjusting module, the ratio of the power to the pressure difference of the ground source heat pump is automatically adjusted, so that the power is matched with the pressure difference to reach a balance point, the ground source heat pump is ensured to work under rated working current, overload phenomenon is avoided, energy consumption is increased, and the working efficiency of the ground source heat pump is improved;
The temperature acquisition module is a temperature sensor arranged on the inner wall and the outer wall of the pump shell of the ground source heat pump and is used for acquiring the temperatures of the inner wall and the outer wall of the pump shell in real time and transmitting the acquired temperature data to the temperature analysis module; the temperature analysis module is used for analyzing the received temperature data and determining the cooling water flow rate of the corresponding condenser according to the heat radiation coefficient TW; the temperature adjusting module comprises a magnetic pump and is used for controlling the flow rate of cooling water flowing through the ground source heat pump by the condenser to dissipate heat of the ground source heat pump;
The specific analysis steps of the temperature analysis module are as follows:
acquiring the temperature of the inner wall and the outer wall of the pump shell of the current ground source heat pump, and marking the temperature as T1 and T2 respectively; calculating the difference between T1 and T2 to obtain an internal and external temperature difference T3; using the formula Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
Determining the corresponding cooling water flow rate as L1 according to the heat dissipation coefficient TW; the method comprises the following steps: a comparison table of the heat radiation coefficient range and the cooling water flow rate threshold value is stored in the database;
the temperature analysis module is used for transmitting the corresponding cooling water flow rate L1 to the controller, and the controller is used for driving the temperature adjustment module to adjust the cooling water flow rate of the condenser flowing through the ground source heat pump to L1, so that the ground source heat pump is radiated, and the radiating efficiency is improved;
When the ground source heat pump fails, the failure uploading module is used for recording and reporting and uploading failure problems by an administrator; the personnel scheduling module is used for distributing corresponding maintenance personnel to overhaul the ground source heat pump; the specific distribution process is as follows:
marking the maintenance personnel in the idle state as primary selection personnel; acquiring maintenance records of primary selection personnel in a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of primary selection personnel as C1; marking each maintenance time as WTi, marking the corresponding score as WPI, and calculating to obtain a maintenance value Wxi by using a formula Wxi= (WPi multiplied by q 1)/(WTi multiplied by q 2), wherein q1 and q2 are coefficient factors;
Comparing the maintenance value Wxi with a preset maintenance threshold value; counting the times of WXi being larger than a preset maintenance threshold value as Zb, and when the WXi is larger than the preset maintenance threshold value, obtaining the difference value of the WXi and the preset maintenance threshold value and summing to obtain a maintenance overrun WZ; calculating to obtain a maintenance coefficient YW by using a formula YW=Zb×q3+WZ×q4, wherein q3 and q4 are coefficient factors;
Automatically acquiring maintenance learning values WN of primary selection personnel from the cloud platform; normalizing the total maintenance times, the maintenance optimal coefficient and the maintenance learning value, taking the values of the maintenance total times, the maintenance optimal coefficient and the maintenance learning value, and calculating the adjustment value DP of the primary selector by using a formula DP=C1×b1+YW×b2+WN×b3, wherein b1, b2 and b3 are coefficient factors;
the primary selection personnel with the largest adjustment value DP are selected as the selection personnel, so that the overhaul efficiency is improved;
The selected personnel arrive at the position of the ground source heat pump, and overhaul is carried out on the ground source heat pump; simultaneously, recording the overhaul process through the mobile phone terminal, and sending the recorded overhaul video to the cloud platform; other maintenance personnel can access the maintenance video of the cloud platform through the mobile phone terminal and watch the maintenance video;
The learning evaluation module is connected with the cloud platform and is used for evaluating maintenance learning values according to video watching records of maintenance personnel, and the specific evaluation steps are as follows:
In a preset time period, collecting video watching records of maintenance personnel, wherein the video watching records comprise watching start time, watching end time and conversion operation behaviors in the watching process; the transition operation behavior includes pause, playback, and screen magnification;
Counting the total video watching times of maintenance personnel as M1, marking each video watching time as MTi, counting the occurrence times of various conversion operation behaviors in the watching process, combining weight factors of the conversion operation behaviors stored in a database, and calculating to obtain a conversion value ZHi in the corresponding watching process; the viewing value GKi is calculated by using a formula GKi =mti×r1+ ZHi ×r2, wherein r1 and r2 are coefficient factors;
summing all the watching values GKi and taking the average value to obtain a watching average value GM; calculating the time difference between the last watching ending time and the current time of the system to obtain a buffer duration HT;
Normalizing the total number of video watching times, the average value of the video watching times and the buffer time length, taking the values of the video watching times, the average value of the video watching times, the buffer time length and the buffer time length, and calculating to obtain a maintenance learning value WN of maintenance personnel by using a formula WN= (M1×r3+GM×r4)/(HT+u), wherein r3 and r4 are coefficient factors; u is an equalization factor, and the value is 0.002369; the learning evaluation module is used for stamping a maintenance learning value WN of a maintenance person by a time stamp and storing the maintenance learning value WN to the cloud platform.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows:
The ground source heat pump control system is characterized in that when the ground source heat pump control system works, an air pressure acquisition module is used for acquiring air pressure data in real time and sending the acquired air pressure data to an air pressure analysis module for effectiveness analysis, comparing the acquired air pressure data with a set value, and calculating to obtain an air pressure deviation coefficient PL of a corresponding ground source heat pump; if PL is greater than a preset deviation threshold, generating an air pressure adjusting signal; the air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the pressure difference between the current air pressure data and the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference to enable the power to be matched with the pressure difference so as to reach an equilibrium point; the ground source heat pump is ensured to work under rated working current, and overload phenomenon is avoided; the working efficiency of the ground source heat pump is improved;
The temperature acquisition module is used for acquiring the temperatures of the inner wall and the outer wall of the pump shell in real time; the temperature analysis module is used for analyzing the received temperature data and calculating to obtain a heat dissipation coefficient TW; determining the flow rate of cooling water of a corresponding condenser according to the heat radiation coefficient TW; the temperature adjusting module is used for controlling the flow rate of cooling water flowing through the ground source heat pump by the condenser and radiating the ground source heat pump; the heat dissipation efficiency is improved;
When the ground source heat pump fails, the failure uploading module is used for recording and reporting and uploading failure problems by an administrator; the personnel scheduling module is used for distributing corresponding maintenance personnel to overhaul the ground source heat pump; acquiring maintenance records of the primary selection personnel in a preset time, and calculating to obtain a blending value DP of the primary selection personnel by combining the total maintenance times, the maintenance optimal coefficient and the maintenance learning value; the primary selection personnel with the largest adjustment value DP are selected as the selection personnel, so that the overhaul efficiency is improved; the selected personnel arrive at the position of the ground source heat pump, and overhaul is carried out on the ground source heat pump; simultaneously, recording the overhaul process through the mobile phone terminal, and sending the recorded overhaul video to the cloud platform; other maintenance personnel can access the maintenance video of the cloud platform through the mobile phone terminal and watch the maintenance video, and learn more maintenance skills.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (2)
1. The ground source heat pump control system is characterized by comprising an air pressure acquisition module, an air pressure adjustment module, a temperature acquisition module, a fault uploading module, a personnel scheduling module and a learning evaluation module;
The air pressure acquisition module is an air pressure sensor arranged at an air outlet of the ground source heat pump and is used for acquiring air pressure data in real time and sending the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating an air pressure deviation coefficient PL and judging whether the power-pressure difference of the ground source heat pump is required to be adjusted or not;
the specific analysis steps of the air pressure analysis module are as follows:
acquiring air pressure data of an exhaust port of the ground source heat pump, and comparing the air pressure data with a set value to obtain a differential pressure Ci; establishing a graph of the pressure difference Ci over time;
If Ci is greater than the preset difference threshold, intercepting and marking a corresponding curve segment in the corresponding curve graph, and recording as a deviation curve segment;
counting the number of deviation curve segments as P1 in a preset time, integrating the time by the difference value between the corresponding Ci on the deviation curve segments and a preset difference value threshold value, and summing to obtain deviation reference energy E1;
calculating the air pressure deviation coefficient PL of the corresponding ground source heat pump by using a formula PL=P1×a1+E1×a2, wherein a1 and a2 are coefficient factors;
if PL is greater than a preset deviation threshold, generating an air pressure adjusting signal; the air pressure analysis module is used for transmitting an air pressure adjusting signal to the controller, and the controller drives the air pressure adjusting module to adjust the air pressure after receiving the air pressure adjusting signal;
The air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the pressure difference between the current air pressure data and the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference to enable the power to be matched with the pressure difference so as to reach an equilibrium point;
The temperature acquisition module is used for acquiring the temperatures of the inner wall and the outer wall of the pump shell in real time and transmitting the acquired temperature data to the temperature analysis module;
The temperature analysis module is used for analyzing the received temperature data and determining the cooling water flow rate of the corresponding condenser according to the heat radiation coefficient TW; the specific analysis steps are as follows:
acquiring the temperature of the inner wall and the outer wall of the pump shell of the current ground source heat pump, and marking the temperature as T1 and T2 respectively; calculating the difference between T1 and T2 to obtain an internal and external temperature difference T3; using the formula Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
Determining the corresponding cooling water flow rate as L1 according to the heat dissipation coefficient TW; the method comprises the following steps: a comparison table of the heat radiation coefficient range and the cooling water flow rate threshold value is stored in the database;
the temperature analysis module is used for transmitting the corresponding cooling water flow rate L1 to the controller, and the controller is used for driving the temperature adjustment module to adjust the cooling water flow rate of the condenser flowing through the ground source heat pump to L1;
When the ground source heat pump fails, the failure uploading module is used for recording and reporting and uploading failure problems by an administrator; the personnel scheduling module is used for performing DP analysis on the allocation value of the maintenance personnel so as to allocate the corresponding maintenance personnel to overhaul the ground source heat pump, and the specific analysis process is as follows:
marking the maintenance personnel in the idle state as primary selection personnel; acquiring maintenance records of primary selection personnel in a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of primary selection personnel as C1; marking each maintenance time as WTi, marking the corresponding score as WPI, and calculating to obtain a maintenance value Wxi by using a formula Wxi= (WPi multiplied by q 1)/(WTi multiplied by q 2), wherein q1 and q2 are coefficient factors;
Comparing the maintenance value WXi with a preset maintenance threshold value, counting the number of times that the WXi is larger than the preset maintenance threshold value as Zb, and when the WXi is larger than the preset maintenance threshold value, obtaining the difference value between the WXi and the preset maintenance threshold value and summing to obtain a maintenance overrun WZ; calculating to obtain a maintenance coefficient YW by using a formula YW=Zb×q3+WZ×q4, wherein q3 and q4 are coefficient factors;
Automatically acquiring maintenance learning values WN of primary selection personnel from the cloud platform; calculating the blending value DP of the primary selector by using a formula DP=C1×b1+YW×b2+WN×b3, wherein b1, b2 and b3 are coefficient factors;
The primary selection personnel with the largest adjustment value DP are selected as the selection personnel, and the ground source heat pump is overhauled;
The method comprises the steps that a selected person arrives at the position of the ground source heat pump, a mobile phone terminal records the overhaul process, and recorded overhaul videos are sent to a cloud platform for other maintenance persons to watch and learn;
The learning evaluation module is used for evaluating the maintenance learning value WN according to the video watching record of the maintenance personnel, and the specific evaluation steps are as follows:
collecting video watching records of maintenance personnel in a preset time period; counting the total video watching times of maintenance personnel as M1, and marking the video watching time length of each time as MTi;
Counting the occurrence times of various conversion operation behaviors in the watching process, and calculating to obtain a conversion value ZHi in the corresponding watching process by combining the weight factors of the conversion operation behaviors stored in the database; the viewing value GKi is calculated by using a formula GKi =mti×r1+ ZHi ×r2, wherein r1 and r2 are coefficient factors;
summing all the watching values GKi and taking the average value to obtain a watching average value GM; calculating the time difference between the last watching ending time and the current time of the system to obtain a buffer duration HT;
calculating to obtain a maintenance learning value WN of maintenance personnel by using a formula WN= (M1×r3+GM×r4)/(HT+u), wherein r3 and r4 are coefficient factors; u is an equalization factor;
the learning evaluation module is used for storing maintenance learning values WN to the cloud platform in a time stamping mode.
2. A ground source heat pump control system according to claim 1, wherein the video viewing record includes a viewing start time, a viewing end time, and a transition operation behavior during viewing; the transition operation behavior includes pause, playback, and picture enlargement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210975286.XA CN115307350B (en) | 2022-08-15 | 2022-08-15 | Ground source heat pump control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210975286.XA CN115307350B (en) | 2022-08-15 | 2022-08-15 | Ground source heat pump control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115307350A CN115307350A (en) | 2022-11-08 |
| CN115307350B true CN115307350B (en) | 2024-05-24 |
Family
ID=83863256
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210975286.XA Active CN115307350B (en) | 2022-08-15 | 2022-08-15 | Ground source heat pump control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115307350B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115788847A (en) * | 2022-11-16 | 2023-03-14 | 咸阳唐安昌科技有限公司 | Water pump control system based on intelligent water pump data acquisition function |
| CN118189448B (en) * | 2024-04-24 | 2024-10-08 | 山东德瑞斯新能源股份有限公司 | Air source heat pump control method and system and heat pump |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101082429A (en) * | 2006-06-01 | 2007-12-05 | 日立空调·家用电器株式会社 | Heat pump-warm water supply and floor heating device |
| CN201652990U (en) * | 2010-04-19 | 2010-11-24 | 天津市远卓环境工程有限公司 | Heat exchange system for loop geothermal energy heat pipe |
| JP2012233669A (en) * | 2011-05-09 | 2012-11-29 | Nippon Steel Engineering Co Ltd | Method and device for analyzing ground heat characteristic in soil heat source heat pump system, method and device for adjusting operation of soil heat source heat pump system, and program |
| CN103375878A (en) * | 2012-04-26 | 2013-10-30 | 上海宝信软件股份有限公司 | Group control method for central air conditioning refrigerating unit |
| CN103868140A (en) * | 2012-12-07 | 2014-06-18 | 大连联达科技有限公司 | Geothermal network management system |
| CN103994554A (en) * | 2014-05-30 | 2014-08-20 | 厦门立思科技股份有限公司 | Variable pressure difference control device, method and system for air-conditioner |
| CN105020773A (en) * | 2015-07-01 | 2015-11-04 | 国网天津市电力公司 | Online monitoring method for performance coefficients of warming type heat pump for recycling residual heat of circulating water |
| CN205561340U (en) * | 2016-03-18 | 2016-09-07 | 浙江万合能源环境科技有限公司 | Ground source heat pump system monitoring devices |
| CN107062689A (en) * | 2017-05-10 | 2017-08-18 | 安徽新富地能源科技有限公司 | A kind of control system of shallow layer ground-temperature energy heat pump |
| CN207247621U (en) * | 2017-06-19 | 2018-04-17 | 哈尔滨探微科技有限公司 | Ground source heat pump control system |
| CN109654777A (en) * | 2018-12-10 | 2019-04-19 | 广东瑞星新能源科技有限公司 | An intelligent heat pump remote control system |
| CN110108509A (en) * | 2019-04-28 | 2019-08-09 | 西安建筑科技大学 | A kind of sewage source heat pump unit intelligent failure diagnosis method |
| CN110542178A (en) * | 2019-09-02 | 2019-12-06 | 上海德昂科技有限公司 | Control method and system for air-conditioning and refrigeration room with self-learning ability |
| CN111706911A (en) * | 2020-06-22 | 2020-09-25 | 中煤西安设计工程有限责任公司 | Intelligent monitoring system for coupling heat supply of dispersed clean heat sources in mining area based on Internet of things |
| CN112664998A (en) * | 2021-01-11 | 2021-04-16 | 青岛海信日立空调系统有限公司 | Multi-connected heat pump water heating system and control method thereof |
| CN113237121A (en) * | 2020-11-26 | 2021-08-10 | 林秋林 | Intelligent heating system of air source heat pump |
| CN113417853A (en) * | 2021-07-13 | 2021-09-21 | 广德玉龙泵业有限公司 | Energy-saving control system based on roots vacuum pump |
| CN116995659A (en) * | 2023-07-25 | 2023-11-03 | 中国建筑科学研究院有限公司 | Flexible operation method of heat pump system considering renewable energy source consumption |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8550368B2 (en) * | 2005-02-23 | 2013-10-08 | Emerson Electric Co. | Interactive control system for an HVAC system |
-
2022
- 2022-08-15 CN CN202210975286.XA patent/CN115307350B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101082429A (en) * | 2006-06-01 | 2007-12-05 | 日立空调·家用电器株式会社 | Heat pump-warm water supply and floor heating device |
| CN201652990U (en) * | 2010-04-19 | 2010-11-24 | 天津市远卓环境工程有限公司 | Heat exchange system for loop geothermal energy heat pipe |
| JP2012233669A (en) * | 2011-05-09 | 2012-11-29 | Nippon Steel Engineering Co Ltd | Method and device for analyzing ground heat characteristic in soil heat source heat pump system, method and device for adjusting operation of soil heat source heat pump system, and program |
| CN103375878A (en) * | 2012-04-26 | 2013-10-30 | 上海宝信软件股份有限公司 | Group control method for central air conditioning refrigerating unit |
| CN103868140A (en) * | 2012-12-07 | 2014-06-18 | 大连联达科技有限公司 | Geothermal network management system |
| CN103994554A (en) * | 2014-05-30 | 2014-08-20 | 厦门立思科技股份有限公司 | Variable pressure difference control device, method and system for air-conditioner |
| CN105020773A (en) * | 2015-07-01 | 2015-11-04 | 国网天津市电力公司 | Online monitoring method for performance coefficients of warming type heat pump for recycling residual heat of circulating water |
| CN205561340U (en) * | 2016-03-18 | 2016-09-07 | 浙江万合能源环境科技有限公司 | Ground source heat pump system monitoring devices |
| CN107062689A (en) * | 2017-05-10 | 2017-08-18 | 安徽新富地能源科技有限公司 | A kind of control system of shallow layer ground-temperature energy heat pump |
| CN207247621U (en) * | 2017-06-19 | 2018-04-17 | 哈尔滨探微科技有限公司 | Ground source heat pump control system |
| CN109654777A (en) * | 2018-12-10 | 2019-04-19 | 广东瑞星新能源科技有限公司 | An intelligent heat pump remote control system |
| CN110108509A (en) * | 2019-04-28 | 2019-08-09 | 西安建筑科技大学 | A kind of sewage source heat pump unit intelligent failure diagnosis method |
| CN110542178A (en) * | 2019-09-02 | 2019-12-06 | 上海德昂科技有限公司 | Control method and system for air-conditioning and refrigeration room with self-learning ability |
| CN111706911A (en) * | 2020-06-22 | 2020-09-25 | 中煤西安设计工程有限责任公司 | Intelligent monitoring system for coupling heat supply of dispersed clean heat sources in mining area based on Internet of things |
| CN113237121A (en) * | 2020-11-26 | 2021-08-10 | 林秋林 | Intelligent heating system of air source heat pump |
| CN112664998A (en) * | 2021-01-11 | 2021-04-16 | 青岛海信日立空调系统有限公司 | Multi-connected heat pump water heating system and control method thereof |
| CN113417853A (en) * | 2021-07-13 | 2021-09-21 | 广德玉龙泵业有限公司 | Energy-saving control system based on roots vacuum pump |
| CN116995659A (en) * | 2023-07-25 | 2023-11-03 | 中国建筑科学研究院有限公司 | Flexible operation method of heat pump system considering renewable energy source consumption |
Non-Patent Citations (2)
| Title |
|---|
| 地源热泵技术研究与应用发展状况;胡平放;黄峙;孙心明;李成慧;李梦静;房美玲;江章宁;;制冷与空调;20141228(12);全文 * |
| 基于楼宇监测系统的组合式冷量动态预测模型研究;陈昭文;宋业辉;魏峥;李林涛;;建筑科学;20200615(06);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115307350A (en) | 2022-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115307350B (en) | Ground source heat pump control system | |
| CN110392515B (en) | Historical data-based cold and heat source machine room energy-saving control method and system | |
| CN205980188U (en) | Ice storage optimization control system based on load prediction | |
| CN115220351A (en) | A cloud-edge-terminal-based intelligent energy-saving optimization control method for building air-conditioning systems | |
| CN111795488A (en) | An intelligent control system and method for the temperature of a distributed computer room | |
| CN107238174A (en) | Method and device for controlling frequency of compressor | |
| CN110220288A (en) | Central air-conditioning system intelligent optimized control method and device based on big data cloud platform | |
| CN108510100A (en) | A kind of energy optimization management implementation method of the intelligent building based on correlation rule | |
| CN111006303A (en) | Intelligent heating control system and method | |
| CN111415030A (en) | Building energy system comprehensive demand response optimization method considering energy utilization comfort level | |
| CN112815486A (en) | Air conditioner management method and device, electronic equipment and storage medium | |
| CN115796055B (en) | Optimized operation adjusting method based on complete air conditioning system simulation model | |
| US20230083027A1 (en) | Multi-area artificial fog pipe network intelligent control method and system based on yolov5 algorithm | |
| CN118761758A (en) | Nearly zero energy consumption operation and maintenance control method | |
| CN118208816A (en) | Central air conditioner regulation and control method and system participating in virtual power plant scheduling | |
| CN113327325A (en) | 5G computer lab intelligent management system based on big data | |
| CN111336668A (en) | Climate compensation method based on energy storage type heat pump system | |
| CN111208729B (en) | Self-adaptive control method and device for insulating bucket temperature control device | |
| CN207065759U (en) | A kind of heat dissipation system for computer room with recuperation of heat/full natural cooling | |
| CN111928428B (en) | Control method of air conditioning system considering demand response and refrigeration system | |
| CN111219856B (en) | Air treatment equipment intelligent optimization group control device and method based on 5G communication | |
| Peng et al. | Rack inlet temperature prediction based on deep learning | |
| CN208567008U (en) | Air conditioning load forecasting system based on radiation time series method | |
| CN116007045A (en) | A Smart City Heat Supply Management System Based on Internet of Things | |
| CN111474858B (en) | Building energy management control system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |