CN108826579A - A kind of heating ventilation air-conditioning system vibration equipment data Collection & Processing System - Google Patents
A kind of heating ventilation air-conditioning system vibration equipment data Collection & Processing System Download PDFInfo
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- CN108826579A CN108826579A CN201810434260.8A CN201810434260A CN108826579A CN 108826579 A CN108826579 A CN 108826579A CN 201810434260 A CN201810434260 A CN 201810434260A CN 108826579 A CN108826579 A CN 108826579A
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- 238000012545 processing Methods 0.000 title claims abstract description 50
- 238000004378 air conditioning Methods 0.000 title claims abstract description 20
- 238000010438 heat treatment Methods 0.000 title claims abstract description 20
- 238000009423 ventilation Methods 0.000 title claims abstract description 15
- 238000013480 data collection Methods 0.000 title claims abstract 6
- 238000004891 communication Methods 0.000 claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims description 37
- 238000005516 engineering process Methods 0.000 claims description 19
- 238000003745 diagnosis Methods 0.000 claims description 18
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 15
- 238000007781 pre-processing Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 12
- 230000001537 neural effect Effects 0.000 claims description 8
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
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- 238000010586 diagram Methods 0.000 description 4
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- 230000008054 signal transmission Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Classifications
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—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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Abstract
The invention discloses a kind of heating ventilation air-conditioning system vibration equipment data Collection & Processing Systems, its system global structure includes intelligence sensor, gateway, cloud platform and business platform, the business platform is communicated to connect by internet or wireless communication networks and the cloud platform, the cloud platform is connect by communication protocol with the gateway communication, the gateway and several described intelligence sensors communicate to connect, several described intelligence sensors are respectively set to be connected with equipment corresponding in the heating ventilation air-conditioning system.Compared with HVAC system vibration equipment state data acquisition existing in intelligent building and processing technique, the present invention realizes a kind of inexpensive, digitlization, wireless penetration heating ventilation air-conditioning system vibration equipment Data collection and precessing system, not only reduce system operation cost, and the agility and safety of system are improved, realize system mode acquisition and intelligent diagnostics.
Description
Technical Field
The invention belongs to the technical field of detection and fault diagnosis, relates to an equipment state data acquisition and processing technology, and particularly relates to an equipment vibration data acquisition and processing system of a heating ventilation air conditioning system, which is applied to the building intelligent industry.
Background
In an intelligent building, a Heating Ventilation Air Conditioning (HVAC) system is a necessary facility for guaranteeing the functional efficiency of the building and providing a comfortable environment. HAVC is a complex building equipment control system formed by a multi-subsystem system. Heating, ventilation, air conditioning, cooling, etc. in the system all contain various fans and pump packages that are the basis for the normal operation of the HVAC system. Therefore, it is very critical to effectively monitor and analyze the state of various fans and pumps of these subsystems, and to perform fault diagnosis, alarm notification and state prediction in time.
The process monitoring and the predictive maintenance based on the state are effective methods for guaranteeing the normal operation of the system, and for equipment such as a fan and a pump, the vibration data acquisition plays an important role in the application of state monitoring, early warning and the like. At present, in the field of intelligent buildings in China, the popularization rate of intelligent sensors is low, the intelligent degree of a vibration sensor special for an HVAC system is not high, the vibration sensor and a signal regulating circuit are mostly integrated into a vibration transmitter, vibration signals collected on site are directly converted into 4-20 mA current signals, the current signals are output through a cable, and the current signals are subjected to relevant processing through a collector to a special data processor. The problems of complex original vibration data acquisition system, high equipment cost, poor field implementation flexibility of the data acquisition system, poor signal processing real-time performance, high system energy consumption and the like are caused by the fact that all devices of the HVAC system are located in dispersed regions, the data acquisition system is complex in structure, the wired network structure and field wiring limit are limited, data analysis is delayed and the like. With the development of micro-electromechanical system (MEMS) technology, wireless communication and digital electronic technology, development of digital sensors with low power consumption, small size, low cost and intelligence has become a major development direction for remote wireless communication.
Disclosure of Invention
The invention aims to provide an intelligent, agile and low-cost vibration data acquisition and processing system for heating ventilation air conditioning system equipment, aiming at solving the problems of the existing vibration state data acquisition and processing technology of HVAC system equipment in an intelligent building, so as to reduce the operation cost, improve the agility and the safety of the system and realize the acquisition and intelligent diagnosis of the system state.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a heating ventilation air conditioning system equipment vibration data acquisition and processing system comprises intelligent sensors, a gateway, a cloud platform and a service platform, wherein the service platform is in communication connection with the cloud platform through an internet or a wireless communication network, the cloud platform is in communication connection with the gateway through an MQTT protocol, the gateway is in communication connection with a plurality of intelligent sensors through a LoRaWAN, and the intelligent sensors are respectively connected with corresponding equipment in the heating ventilation air conditioning system;
the intelligent sensor is a digital sensor based on MEMS, has high autonomy and intelligence, and can complete vibration signal acquisition, signal A/D conversion, data caching, data preprocessing and data wireless forwarding, and data processing marginalization; the system comprises an MEMS vibration signal acquisition module, an A/D module, a first data cache module, a data preprocessing module, a first LoRa wireless module and an alarm module; wherein,
the vibration signal acquisition module is responsible for acquiring equipment vibration signals in the heating, ventilating and air conditioning system;
the A/D module is responsible for A/D conversion of the vibration signal;
the data preprocessing module is responsible for vibration signal FFT, filtering and full frequency analysis, and carries out fault diagnosis according to a preset rule to obtain a vibration signal analysis result;
the first data cache module is used for temporarily storing the vibration signals acquired by the vibration signal acquisition module and the vibration signal analysis results obtained by the data preprocessing module;
the first LoRa wireless module is based on a LoRaWAN technology and is responsible for transmitting vibration signal analysis data to the gateway; the wireless signal transmission distance based on the low-power LoRaWAN technology is long, the node capacity is large, and the field arrangement of the sensor is flexible and convenient;
the alarm module is responsible for carrying out fault alarm indication according to the vibration signal analysis result made by the data preprocessing module;
the gateway comprises a second LoRa wireless module, a communication protocol processing module, a second data cache module and a data transparent transmission module;
the second LoRa wireless module is based on a LoRaWAN technology and is responsible for receiving vibration signal analysis data sent by the intelligent sensor;
the communication protocol processing module supports LoRaWAN and MQTT protocols and is responsible for processing vibration signal analysis data based on LoRaWAN technology into vibration signal analysis data based on MQTT protocols;
the second data cache module is responsible for temporarily storing the vibration signal analysis data processed by the communication protocol processing module;
the data transparent transmission module is based on an MQTT protocol and is responsible for transmitting the vibration signal analysis data to the cloud platform; the lightweight cloud access based on the MQTT protocol is suitable for application of the Internet of things, and can realize subscription, release and message push based on Topic;
the cloud platform comprises a network server, a database server and a service center;
the network server is an MQTT server and is responsible for receiving vibration signal analysis data sent by the data transparent transmission module;
the database server is responsible for storing data and managing the system;
the service center comprises a big data processing module and application service deployment; the big data processing module comprises a specialist system and an adaptive fuzzy neural inference system algorithm module, and the big data processing module carries out intelligent diagnosis and state prediction on system faults through a mixed strategy of the specialist system and the adaptive fuzzy neural inference system algorithm module; the big data processing module is constructed based on a mixed diagnosis strategy of an expert knowledge and self-adaptive fuzzy neural inference system, the prior characteristics of the expert knowledge are exerted, the learning capability of a neural network is fully combined with the understandability advantage of fuzzy inference, and intelligent diagnosis and prediction of the whole system are realized;
the service platform comprises a system management platform and a mobile terminal APP;
the system management platform is responsible for carrying out vibration signal analysis data acquisition, processing the overall configuration and management of the system, monitoring the real-time state of the system and browsing trend data;
and the mobile terminal APP is responsible for acquiring subscription information and system push information according to a subscription, release and information push mechanism based on the Topic.
Compared with the existing HVAC system equipment vibration state data acquisition and processing technology in the intelligent building, the invention has the following beneficial effects:
(1) the invention solves the problems of system equipment vibration data acquisition and wireless transmission;
(2) the invention solves the problems of equipment working condition and system running state diagnosis and information push;
(3) the intelligent vibration sensor system based on the MEMS has high integration level, strong autonomy and intelligence, greatly simplifies the structure of a data acquisition system and reduces the cost. The anti-interference performance of digital signals is better than that of analog signal transmission;
(4) the low-power consumption wireless transmission technology applied by the invention has the advantages of long distance, large node capacity and strong anti-interference performance;
(5) the intelligent vibration sensor based on the MEMS is flexible in monitoring position and convenient to install, and saves deployment and maintenance cost;
(6) the invention adopts intelligent diagnosis and prediction based on a mixed strategy, and improves the advancement and intelligence of system data processing.
Therefore, the invention realizes a low-cost, digital and wireless heating ventilation air conditioning system equipment vibration data acquisition and processing system, not only reduces the system operation cost, but also improves the agility and the safety of the system, and realizes the system state acquisition and intelligent diagnosis.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a block diagram of the smart sensor of the present invention;
FIG. 3 is a block diagram of a gateway module of the present invention;
fig. 4 is a structural diagram of a big data processing module in the cloud platform according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, a system for acquiring and processing vibration data of heating, ventilating and air conditioning system equipment has an overall structure including an intelligent sensor 1, a gateway 2, a cloud platform 3 and a service platform 4; the intelligent sensor 1 is connected with corresponding equipment 5 in the heating, ventilation and air conditioning system and is in communication connection with the gateway 2 through LoRaWAN, the gateway 2 is accessed to the cloud platform 3 through a lightweight cloud based on MQTT protocol, and the cloud platform 3 is in communication connection with the service platform 4 through Internet/2G/3G/4G.
Referring to fig. 2, the intelligent sensor 1 is a digital sensor based on MEMS, has high autonomy and intelligence, and can complete vibration signal acquisition, signal a/D conversion, data caching, data preprocessing, data wireless forwarding, and data processing marginalization; the system comprises an MEMS vibration signal acquisition module 101, an A/D module 102, a first data cache module 103, a data preprocessing module 104, a first LoRa wireless module 106 and an alarm module 107; wherein,
the vibration signal acquisition module 101 is responsible for acquiring vibration signals of equipment 5 in the heating, ventilating and air conditioning system;
the A/D module 102 is responsible for A/D conversion of the vibration signal;
the data preprocessing module 104 is responsible for vibration signal FFT, filtering and full frequency analysis, and performs fault diagnosis according to a preset rule to obtain a vibration signal analysis result;
the first data caching module 103 is responsible for temporarily storing the vibration signals acquired by the vibration signal acquisition module 101 and the vibration signal analysis results obtained by the data preprocessing module 104;
the first LoRa wireless module 106 is responsible for transmitting vibration signal analysis data to the gateway 2 based on the LoRaWAN technology; the wireless signal transmission distance based on the low-power LoRaWAN technology is long, the node capacity is large, and the field arrangement of the sensor is flexible and convenient;
the alarm module 107 is responsible for performing fault alarm indication according to the vibration signal analysis result made by the data preprocessing module 104;
referring to fig. 3, the gateway 2 includes a second LoRa wireless module 201, a communication protocol processing module 202, a second data caching module 203, and a data transparent transmission module 204;
the second LoRa wireless module 201 is based on the LoRaWAN technology and is responsible for receiving vibration signal analysis data sent by the intelligent sensor 1;
the communication protocol processing module 202 supports LoRaWAN and MQTT protocols and is responsible for processing vibration signal analysis data based on LoRaWAN technology into vibration signal analysis data based on MQTT protocols;
the second data caching module 203 is responsible for temporarily storing the vibration signal analysis data processed by the communication protocol processing module 202;
the data transparent transmission module 204 is responsible for transmitting the vibration signal analysis data to the cloud platform 3 based on the MQTT protocol; the lightweight cloud access based on the MQTT protocol is suitable for application of the Internet of things, and can realize subscription, release and message push based on Topic;
referring to fig. 1, the cloud platform 3 includes a web server 301, a database server 302, and a service center 303;
the network server 301 is an MQTT server and is responsible for receiving vibration signal analysis data sent by the data transparent transmission module 204;
the database server 302 is responsible for storing data and managing the system;
the service center 303 comprises a big data processing module 304 and application service deployment; referring to fig. 4, the big data processing module 304 includes an expert system 305 and an adaptive fuzzy neural inference system algorithm module 306, and the big data processing module 304 performs intelligent diagnosis of system faults and state prediction through a mixed strategy of the expert system 305 and the adaptive fuzzy neural inference system algorithm module 306; the big data processing module is constructed based on a mixed diagnosis strategy of an expert knowledge and self-adaptive fuzzy neural inference system, the prior characteristics of the expert knowledge are exerted, the learning capability of a neural network is fully combined with the understandability advantage of fuzzy inference, and intelligent diagnosis and prediction of the whole system are realized;
referring to fig. 1, the service platform 4 includes a system management platform 401 and a mobile terminal APP 402;
the system management platform 401 is responsible for collecting vibration signal analysis data, processing the overall configuration and management of the system, monitoring the real-time state of the system and browsing trend data;
the mobile terminal APP402 is responsible for acquiring subscription messages and system push messages according to a subscription, publication and message push mechanism based on Topic.
The invention realizes a low-cost, digital and wireless heating ventilation air conditioning system equipment vibration data acquisition and processing system, not only reduces the system operation cost, but also improves the agility and the safety of the system, and realizes the system state acquisition and intelligent diagnosis.
It should be understood that the above-mentioned examples are only illustrative and not exhaustive for illustrating the technical concepts and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and to implement the present invention, and not to limit the scope of the present invention. Modifications made in accordance with the spirit of the main technical scheme of the invention are covered within the protection scope of the invention.
Claims (4)
1. The utility model provides a heating and ventilation air conditioning system equipment vibration data acquisition and processing system which characterized in that: the system overall structure comprises an intelligent sensor (1), a gateway (2), a cloud platform (3) and a service platform (4);
the intelligent sensor (1) is a digital sensor based on MEMS, one end of the intelligent sensor is connected with corresponding equipment (5) in the heating, ventilating and air conditioning system, and the other end of the intelligent sensor is in communication connection with the gateway (2) through a wireless signal based on low-power LoRaWAN technology and is responsible for completing vibration signal acquisition, vibration signal A/D conversion, data caching, data preprocessing, data wireless forwarding and data processing marginalization;
the gateway (2) is a LoRA gateway supporting LoRaWAN and MQTT protocols, one end of the LoRA gateway is in communication connection with the intelligent sensors (1) through wireless signals based on a low-power LoRaWAN technology, the other end of the LoRA gateway is accessed to the cloud platform (3) through a lightweight cloud based on the MQTT protocol and is responsible for receiving vibration signal analysis data sent by the intelligent sensors (1), transmitting the vibration signal analysis data to the cloud platform (3) in a transparent mode, and realizing remote data transmission between the intelligent sensors (1) and the cloud platform (3);
one end of the cloud platform (3) is in communication connection with the gateway (2) through an MQTT protocol, the other end of the cloud platform is in communication connection with the service platform (4) through an Internet or a wireless communication network, and the cloud platform comprises a network server (301), a database server (302) and a service center (303) inside the cloud platform;
the network server (301) is an MQTT server and is responsible for receiving vibration signal analysis data sent by the data transparent transmission module (204);
the database server (302) is responsible for storing data and managing the system;
the service center (303) comprises a big data processing module (304) and application service deployment, is responsible for playing the prior characteristics of expert knowledge, fully combines the learning capability of a neural network with the understandability advantage of fuzzy reasoning, realizes the intelligent diagnosis and state prediction of the whole system fault, and pushes subscription, release and information based on Topic to the service platform (4);
the service platform (4) comprises a system management platform (401) and a mobile terminal APP (402);
the system management platform (401) is responsible for carrying out vibration signal analysis data acquisition, processing the overall configuration and management of the system, monitoring the real-time state of the system and browsing trend data;
the mobile terminal APP (402) is responsible for acquiring subscription messages and system push messages according to a subscription, publication and message push mechanism based on Topic.
2. The hvac system vibration data collection and processing system of claim 1, wherein: the intelligent sensor (1) internally comprises a vibration signal acquisition module (101), an A/D module (102), a first data cache module (103), a data preprocessing module (104), a first LoRa wireless module (106) and an alarm module (107); wherein,
the vibration signal acquisition module (101) is responsible for acquiring vibration signals of equipment (5) in the heating, ventilating and air conditioning system;
the A/D module (102) is responsible for A/D conversion of the vibration signal;
the data preprocessing module (104) is responsible for analyzing the vibration signal FFT, filtering and full frequency, and carrying out fault diagnosis according to a preset rule to obtain a vibration signal analysis result;
the first data cache module (103) is responsible for temporarily storing the vibration signals acquired by the vibration signal acquisition module (101) and the vibration signal analysis results output by the data preprocessing module (104);
the first LoRa wireless module (106) is based on LoRaWAN technology and is responsible for transmitting vibration signal analysis data to the gateway (2);
and the alarm module (107) is responsible for carrying out fault alarm indication according to the vibration signal analysis result made by the data preprocessing module (104).
3. The hvac system vibration data collection and processing system of claim 1, wherein: the gateway (2) comprises a second LoRa wireless module (201), a communication protocol processing module (202), a second data cache module (203) and a data transparent transmission module (204);
the second LoRa wireless module (201) is based on LoRaWAN technology and is responsible for receiving vibration signal analysis data sent by the intelligent sensor (1);
the communication protocol processing module (202) supports LoRaWAN and MQTT protocols and is responsible for processing vibration signal analysis data based on LoRaWAN technology into vibration signal analysis data based on MQTT protocols;
the second data cache module (203) is responsible for temporarily storing the vibration signal analysis data processed by the communication protocol processing module (202);
the data transparent transmission module (204) is responsible for transmitting the vibration signal analysis data to the cloud platform (3) based on an MQTT protocol.
4. The hvac system vibration data collection and processing system of claim 1, wherein: the big data processing module (304) comprises an expert system (305) and an adaptive fuzzy neural inference system algorithm module (306), and the big data processing module (304) carries out intelligent diagnosis and state prediction on system faults through a mixed strategy of the expert system (305) and the adaptive fuzzy neural inference system algorithm module (306).
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| CN111290311A (en) * | 2020-02-14 | 2020-06-16 | 华南农业大学 | System and method for monitoring effluent data after wastewater treatment |
| CN111520880A (en) * | 2020-05-07 | 2020-08-11 | 清华大学 | NBIot technology-based dynamic evaluation and adaptation tool for hydraulic and thermal balance of air-conditioning water system |
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| CN111290311A (en) * | 2020-02-14 | 2020-06-16 | 华南农业大学 | System and method for monitoring effluent data after wastewater treatment |
| CN111245661A (en) * | 2020-03-04 | 2020-06-05 | 山西博华科技有限公司 | Big data acquisition processing system of thing networking based on MQTT |
| CN111520880A (en) * | 2020-05-07 | 2020-08-11 | 清华大学 | NBIot technology-based dynamic evaluation and adaptation tool for hydraulic and thermal balance of air-conditioning water system |
| CN111665751A (en) * | 2020-05-27 | 2020-09-15 | 苏州新森智能科技有限公司 | Passive room energy all-in-one monitoring and environment monitoring system |
| CN111895618A (en) * | 2020-06-28 | 2020-11-06 | 五邑大学 | Cloud platform data visualization control method and device and storage medium |
| CN113535233A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Artificial intelligence system for heating and ventilation cloud edge cooperation |
| CN113535232A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Heating and ventilation cloud edge cooperative system |
| CN113535234A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Heating and ventilation cloud edge cooperative control method and system and storage medium |
| CN113535233B (en) * | 2021-06-12 | 2023-03-14 | 武汉所为科技有限公司 | Artificial intelligence system for heating and ventilation cloud edge cooperation |
| CN113963527A (en) * | 2021-10-09 | 2022-01-21 | 珠海格力电器股份有限公司 | Communication control method, device, system and equipment for low-power-consumption component and gateway |
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