CN115307350A - Ground source heat pump control system - Google Patents
Ground source heat pump control system Download PDFInfo
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- CN115307350A CN115307350A CN202210975286.XA CN202210975286A CN115307350A CN 115307350 A CN115307350 A CN 115307350A CN 202210975286 A CN202210975286 A CN 202210975286A CN 115307350 A CN115307350 A CN 115307350A
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- 238000012423 maintenance Methods 0.000 claims abstract description 116
- 238000004458 analytical method Methods 0.000 claims abstract description 45
- 238000000034 method Methods 0.000 claims abstract description 23
- 239000000498 cooling water Substances 0.000 claims abstract description 21
- 230000017525 heat dissipation Effects 0.000 claims abstract description 20
- 230000006399 behavior Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000011156 evaluation Methods 0.000 claims description 11
- 238000002156 mixing Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims 2
- 238000005265 energy consumption Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 238000001816 cooling 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
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 238000012545 processing Methods 0.000 description 1
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- 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
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- 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
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- 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- 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
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- 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
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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 effectiveness 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 flow rate of cooling water corresponding to the condenser according to the heat dissipation coefficient and improving the heat dissipation efficiency; when the ground source heat pump has a fault, the personnel scheduling module is used for analyzing a deployment value of maintenance personnel, selecting a primary selection personnel with the maximum deployment value as a selected personnel, and overhauling the ground source heat pump; meanwhile, when the selected personnel reach the position of the ground source heat pump, the mobile phone terminal records the maintenance process, and the recorded maintenance video is sent to the cloud platform for other maintenance personnel to watch and study, so that 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 a novel, clean, environment-friendly and efficient energy technology, and becomes an important strategy for developing renewable energy. The ground source heat pump realizes the transfer of low-temperature heat energy to high-temperature heat energy by inputting a small amount of high-grade energy (such as electric energy). The geothermal energy is respectively used as a heat source for heat pump heating in winter and a cold source for air conditioning in summer, namely, in winter, the heat in the geothermal energy is taken out, and the heat is supplied to indoor heating after the temperature is increased; in summer, the heat in the room is taken out and released to the ground. When the ground source heat pump converts electric energy, 1 part of electricity is input, 3-5 parts of heat can be extracted from the underground, and the ground source heat pump is more energy-saving compared with an air conditioner and an electric heating piece.
However, when the ground source heat pump is overheated, the energy consumption of the ground source heat pump is increased greatly, the energy consumption is increased, the existing ground source heat pump control system cannot 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 based on the defects, the invention provides the ground source heat pump control system.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a ground source heat pump control system.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a ground source heat pump control system, which includes 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 used for acquiring air pressure data in real time, transmitting the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating to obtain an air pressure deviation coefficient PL and judging whether the power-pressure difference of the ground source heat pump needs 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 flow rate of cooling water corresponding to the condenser according to the heat dissipation coefficient TW;
when the local source heat pump has a fault, the fault uploading module is used for recording, declaring and uploading the fault problem by an administrator; the personnel scheduling module is used for analyzing a blending value DP of maintenance personnel, selecting a primary selection personnel with the maximum blending value DP as a selected personnel and overhauling the ground source heat pump;
meanwhile, when a selected person arrives at the position of the ground source heat pump, the maintenance process is recorded through the mobile phone terminal, and the recorded maintenance video is sent to the cloud platform for other maintenance personnel to watch and study; the learning evaluation module is used for evaluating a maintenance learning value WN according to video watching records of maintenance personnel, and stamping a time stamp on the maintenance learning value WN and storing the maintenance learning value WN to the cloud platform.
Further, the air pressure analysis module comprises the following specific analysis steps:
acquiring air pressure data of an exhaust port of a ground source heat pump and comparing the air pressure data with a set value to obtain a pressure difference Ci; establishing a curve graph of the change of the pressure difference Ci along with time; if Ci is larger than a preset difference threshold value, intercepting and marking a corresponding curve segment in a corresponding curve graph, and marking as a deviation curve segment;
counting the number of the deviated curve segments as P1 within a preset time, integrating the difference value of the corresponding Ci on the deviated curve segments and a preset difference threshold value with the time, and summing to obtain deviated reference energy E1; calculating to obtain a gas pressure deviation coefficient PL corresponding to the ground source heat pump by using a formula PL = P1 × a1+ E1 × a2, wherein a1 and a2 are coefficient factors;
if PL is larger than a preset deviation threshold value, generating an air pressure adjusting signal; the air pressure analysis module is used for transmitting the air pressure adjusting signal to the controller, and the controller receives the air pressure adjusting signal and then drives and controls the air pressure adjusting module to adjust the air pressure.
Furthermore, the air pressure adjusting module is used for controlling the corresponding overflow electromagnetic valve to be opened according to the current air pressure data and the pressure difference of the set value, and adjusting the ratio of the power of the ground source heat pump to the pressure difference, so that the power is matched with the pressure difference, and the balance point is reached.
Further, the specific analysis steps of the temperature analysis module are as follows:
acquiring the temperatures of the inner wall and the outer wall of a pump shell of the current ground source heat pump, and respectively marking as T1 and T2; calculating the difference value between T1 and T2 to obtain the internal and external temperature difference T3; using a formula
Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
determining the corresponding cooling water flow rate to be L1 according to the heat dissipation coefficient TW; the method specifically comprises the following steps: a comparison table of the range of the heat dissipation coefficient and the flow rate threshold of the cooling water 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 adjusting 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 an idle state as primary selection personnel at present; acquiring a maintenance record of the primary selection personnel within a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of the primary selection personnel to be C1; marking the maintenance time of each time as WTi, marking the corresponding score as WPi, and calculating by using a formula Wxi = (WPi multiplied by q 1)/(WTi multiplied by q 2) to obtain a maintenance value Wxi, wherein q1 and q2 are coefficient factors;
comparing the maintenance value Wxi with a preset maintenance threshold value, and calculating to obtain a maintenance optimal coefficient YW; automatically acquiring a maintenance learning value WN of the primary selection personnel from a cloud platform; the blending value DP of the primary candidate is calculated by using the formula DP = C1 × b1+ YW × b2+ WN × b3, where b1, b2, and b3 are coefficient factors.
Further, the specific calculation process of the goodness coefficient YW is as follows:
counting the ratio of times that Wxi is greater than a preset maintenance threshold value as Zb, and when Wxi is greater than the preset maintenance threshold value, obtaining the difference between the Wxi and the preset maintenance threshold value and summing the difference to obtain a maintenance excess value WZ; the dimension optimal coefficient YW is calculated by using the formula YW = Zb × q3+ WZ × q4, where q3 and q4 are coefficient factors.
Further, the specific evaluation steps of the learning evaluation module are as follows:
collecting video watching records of maintenance personnel within a preset time period; counting the total video watching times of maintenance personnel to be M1, and marking the video watching time length of each time as MTi;
counting the occurrence frequency of various conversion operation behaviors in the watching process and calculating to obtain a conversion value ZHI corresponding to the watching process by combining with the weight factor of each conversion operation behavior stored in the database; calculating by using a formula GKi = MTi × r1+ ZHi × r2 to obtain a viewing value GKi, wherein r1 and r2 are coefficient factors;
summing all the viewing values GKi and averaging to obtain a viewing average value GM; calculating the time difference between the latest watching ending time and the current time of the system to obtain a buffer duration HT;
calculating a maintenance learning value WN of a maintenance worker by using a formula WN = (M1 × r3+ GM × r 4)/(HT + u), wherein r3 and r4 are coefficient factors; u is an equalization factor.
Further, the video watching record comprises a watching starting time, a watching ending time and a conversion operation behavior in the watching process; the switching 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 corresponding to the ground source heat pump; if PL is larger than a preset deviation threshold value, 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, 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 the rated working current, and the 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 corresponding to the condenser according to the heat dissipation 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 dissipating heat of the ground source heat pump; the heat dissipation efficiency is improved;
3. when the ground source heat pump breaks down, the personnel scheduling module is used for distributing corresponding maintenance personnel to overhaul the ground source heat pump; acquiring a maintenance record of the primary selection personnel in a preset time, and calculating to obtain a deployment value DP of the primary selection personnel by combining the total maintenance times, the maintenance preference coefficient and the maintenance learning value; selecting the primary selection personnel with the maximum allocation value DP as the selected personnel, so that the overhaul efficiency is improved; when a selected person arrives at the position of the ground source heat pump, the ground source heat pump is overhauled; meanwhile, recording the maintenance process through the mobile phone terminal, and sending the recorded maintenance video to the cloud platform; other maintenance personnel can visit 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 present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
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 described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a ground source heat pump control system includes 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 used for acquiring air pressure data in real time, transmitting the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating to obtain an air pressure deviation coefficient corresponding to the ground source heat pump, and judging whether the power-differential pressure of the ground source heat pump needs to be adjusted or not;
the air pressure analysis module comprises the following specific analysis steps:
acquiring air pressure data of an exhaust port of a ground source heat pump and comparing the air pressure data with a set value to obtain a pressure difference Ci, wherein Ci is a positive number; establishing a curve graph of the pressure difference Ci along with the change of time; comparing the differential pressure Ci with a preset differential threshold value; if Ci is larger than a preset difference threshold value, intercepting and marking a corresponding curve segment in a corresponding curve graph, and marking as a deviation curve segment;
counting the number of the deviated curve segments as P1 within a preset time, integrating the difference value of the corresponding Ci on the deviated curve segments and a preset difference threshold value with the time, and summing to obtain deviated reference energy E1; normalizing the quantity of the deviation curve segments and the deviation reference energy, taking the numerical values of the deviation curve segments and calculating by using a formula PL = P1 × a1+ E1 × a2 to obtain a gas pressure deviation coefficient PL corresponding to the 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 the 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 current air pressure data and the pressure difference of 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 and achieve a balance 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 of the ground source heat pump to the pressure difference 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 a rated working current, the phenomenon of overload is avoided, the 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 of the pump shell of the ground source heat pump and the outer wall of the pump shell and is used for acquiring the temperature of the inner wall of the pump shell 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 flow rate of cooling water corresponding to the condenser according to the heat dissipation 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 and dissipating heat of the ground source heat pump;
the specific analysis steps of the temperature analysis module are as follows:
acquiring the temperatures of the inner wall and the outer wall of a pump shell of the current ground source heat pump, and respectively marking as T1 and T2; calculating the difference value between T1 and T2 to obtain the internal and external temperature difference T3; using formulas
Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
determining the corresponding flow rate of cooling water to be L1 according to the heat dissipation coefficient TW; the method comprises the following specific steps: a comparison table of the range of the heat dissipation coefficient and the flow rate threshold of the cooling water 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 regulation module to regulate 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 cooled, and the cooling efficiency is improved;
when the local source heat pump has a fault, the fault uploading module is used for recording, declaring and uploading the fault problem by an administrator; the personnel scheduling module is used for allocating corresponding maintenance personnel to overhaul the ground source heat pump; the specific distribution process is as follows:
marking the maintenance personnel in an idle state at present as primary selection personnel; acquiring a maintenance record of the primary selection personnel within a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of the primary selection personnel to be C1; marking the maintenance time of each time as WTi, marking the corresponding score as WPi, and calculating by using a formula Wxi = (WPi multiplied by q 1)/(WTi multiplied by q 2) to obtain a maintenance value Wxi, wherein q1 and q2 are coefficient factors;
comparing the maintenance value Wxi with a preset maintenance threshold value; counting the number of times that Wxi is greater than a preset maintenance threshold value to be Zb, and when Wxi is greater than the preset maintenance threshold value, obtaining the difference value between the Wxi and the preset maintenance threshold value and summing the difference value to obtain a maintenance over-value WZ; calculating a dimension optimal coefficient YW by using a formula YW = Zb × q3+ WZ × q4, wherein q3 and q4 are coefficient factors;
automatically acquiring a maintenance learning value WN of the 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 by using a formula DP = C1 × b1+ YW × b2+ WN × b3 to obtain a blending value DP of a primary selector, wherein b1, b2 and b3 are coefficient factors;
selecting the primary selection personnel with the maximum allocation value DP as the selected personnel, so that the overhaul efficiency is improved;
when a selected person arrives at the position of the ground source heat pump, the ground source heat pump is overhauled; meanwhile, recording the maintenance process through the mobile phone terminal, and sending the recorded maintenance 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 used for evaluating the maintenance learning value according to the video watching record of maintenance personnel, and the specific evaluation steps are as follows:
collecting video watching records of maintenance personnel in a preset time period, wherein the video watching records comprise watching starting time, watching finishing time and conversion operation behaviors in a watching process; the switching operation behavior comprises pause, playback and picture enlargement;
counting the total video watching times of maintenance personnel to be M1, 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 with the weight factors of the conversion operation behaviors stored in the database; calculating by using a formula GKi = MTi × r1+ ZHi × r2 to obtain a viewing value GKi, 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 latest watching ending time and the current time of the system to obtain a buffer duration HT;
performing normalization processing on the total video watching times, the average watching value and the buffering time length, and taking the numerical values of the video watching times, and calculating a maintenance learning value WN of a maintenance worker by using a formula WN = (M1 x r3+ GM x r 4)/(HT + u), wherein r3 and r4 are coefficient factors; u is a balance factor, and the value is 0.002369; and the learning evaluation module is used for stamping a time stamp on the maintenance learning value WN of the maintenance personnel and storing the maintenance learning value WN to the cloud platform.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
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, the acquired air pressure data is compared with a set value, and an air pressure deviation coefficient PL corresponding to a ground source heat pump is obtained through calculation; 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, 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 the rated working current, and the 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 corresponding to the condenser according to the heat dissipation 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 dissipating heat of the ground source heat pump; the heat dissipation efficiency is improved;
when the local source heat pump has a fault, the fault uploading module is used for recording, declaring and uploading the fault problem by an administrator; the personnel scheduling module is used for allocating corresponding maintenance personnel to overhaul the ground source heat pump; acquiring a maintenance record of the primary selection personnel in a preset time, and calculating to obtain a deployment value DP of the primary selection personnel by combining the total maintenance times, the maintenance preference coefficient and the maintenance learning value; selecting the primary selection personnel with the maximum allocation value DP as the selected personnel, so that the overhaul efficiency is improved; when a selected person arrives at the position of the ground source heat pump, the ground source heat pump is overhauled; meanwhile, recording the maintenance process through the mobile phone terminal, and sending the recorded maintenance video to the cloud platform; other maintenance personnel can visit 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 herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A 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 exhaust port of the ground source heat pump and used for acquiring air pressure data in real time, transmitting the acquired air pressure data to the air pressure analysis module for effectiveness analysis, calculating to obtain an air pressure deviation coefficient PL, and judging whether the power-pressure difference of the ground source heat pump needs 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 flow rate of cooling water corresponding to the condenser according to the heat dissipation coefficient TW;
when the local source heat pump has a fault, the fault uploading module is used for recording, declaring and uploading the fault problem by an administrator; the personnel scheduling module is used for analyzing a blending value DP of maintenance personnel, selecting a primary selection personnel with the largest blending value DP as a selected personnel, and overhauling the ground source heat pump;
meanwhile, when a selected person arrives at the position of the ground source heat pump, the maintenance process is recorded through the mobile phone terminal, and the recorded maintenance video is sent to the cloud platform for other maintenance personnel to watch and study; the learning evaluation module is used for evaluating a maintenance learning value WN according to video watching records of maintenance personnel, and stamping a time stamp on the maintenance learning value WN and storing the maintenance learning value WN to the cloud platform.
2. The ground source heat pump control system according to claim 1, wherein the air pressure analysis module comprises the following specific analysis steps:
acquiring air pressure data of an exhaust port of a ground source heat pump and comparing the air pressure data with a set value to obtain a pressure difference Ci; establishing a curve graph of the pressure difference Ci along with the change of time; if Ci is larger than a preset difference threshold value, intercepting and marking a corresponding curve segment in a corresponding curve graph, and marking as a deviation curve segment;
counting the quantity of the deviation curve segments as P1 within preset time, integrating the difference value of the corresponding Ci on the deviation curve segments and a preset difference threshold value with time, and summing to obtain deviation reference energy E1;
calculating to obtain a gas pressure deviation coefficient PL corresponding to the ground source heat pump by using a formula PL = P1 × a1+ E1 × a2, wherein a1 and a2 are coefficient factors; if PL is larger than a preset deviation threshold value, generating an air pressure adjusting signal; the air pressure analysis module is used for transmitting the 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.
3. The ground source heat pump control system according to claim 2, wherein the air pressure adjusting module is configured to control the corresponding overflow solenoid valve to open according to a pressure difference between current air pressure data and a set value, and adjust a ratio of the power of the ground source heat pump to the pressure difference to match the power with the pressure difference, so as to reach a balance point.
4. The ground source heat pump control system according to claim 1, wherein the specific analysis steps of the temperature analysis module are as follows:
acquiring the temperatures of the inner wall and the outer wall of a pump shell of the current ground source heat pump, and respectively marking as T1 and T2; calculating the difference value between T1 and T2 to obtain the internal and external temperature difference T3; using formulas
Calculating to obtain a heat dissipation coefficient TW, wherein g1 and g2 are coefficient factors;
determining the corresponding cooling water flow rate to be L1 according to the heat dissipation coefficient TW; the method specifically comprises the following steps: a comparison table of the range of the heat dissipation coefficient and the flow rate threshold of the cooling water 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 adjusting module to adjust the cooling water flow rate of the condenser flowing through the ground source heat pump to L1.
5. The ground source heat pump control system according to claim 1, wherein the personnel scheduling module performs a specific analysis process including:
marking the maintenance personnel in an idle state as primary selection personnel at present; acquiring a maintenance record of the primary selection personnel within a preset time; the maintenance record comprises maintenance duration and corresponding scores;
counting the total maintenance times of the primary selection personnel as C1; marking the maintenance time of each time as WTi, marking the corresponding score as WPi, and calculating by using a formula Wxi = (WPi multiplied by q 1)/(WTi multiplied by q 2) to obtain a maintenance value Wxi, wherein q1 and q2 are coefficient factors;
comparing the maintenance value Wxi with a preset maintenance threshold value, and calculating to obtain a maintenance optimal coefficient YW; automatically acquiring a maintenance learning value WN of the primary selection personnel from a cloud platform; the blending value DP of the primary candidate is calculated by using the formula DP = C1 × b1+ YW × b2+ WN × b3, where b1, b2, and b3 are coefficient factors.
6. The ground source heat pump control system according to claim 5, wherein the specific calculation process of the goodness coefficient YW is as follows:
counting the number of times that Wxi is greater than a preset maintenance threshold value to be Zb, and when Wxi is greater than the preset maintenance threshold value, obtaining the difference value between the Wxi and the preset maintenance threshold value and summing the difference value to obtain a maintenance over-value WZ; the goodness of dimension coefficient YW is calculated by the formula YW = Zb × q3+ WZ × q4, where q3 and q4 are coefficient factors.
7. The ground source heat pump control system according to claim 1, wherein the learning evaluation module specifically evaluates the following steps:
collecting video watching records of maintenance personnel within 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 corresponding to the watching process by combining the weight factors of the conversion operation behaviors stored in the database; calculating by using a formula GKi = MTi × r1+ ZHi × r2 to obtain a viewing value GKi, 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 latest watching ending time and the current time of the system to obtain a buffer duration HT;
calculating a maintenance learning value WN of a maintenance worker by using a formula WN = (M1 × r3+ GM × r 4)/(HT + u), wherein r3 and r4 are coefficient factors; u is an equalization factor.
8. The ground source heat pump control system according to claim 7, wherein the video viewing record comprises a viewing start time, a viewing end time and a transition operation behavior in the viewing process; the transition operation behaviors include pause, playback, and picture zoom-in.
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