CN113449977B - Heat recycling system of air compression station - Google Patents

Heat recycling system of air compression station Download PDF

Info

Publication number
CN113449977B
CN113449977B CN202110695842.3A CN202110695842A CN113449977B CN 113449977 B CN113449977 B CN 113449977B CN 202110695842 A CN202110695842 A CN 202110695842A CN 113449977 B CN113449977 B CN 113449977B
Authority
CN
China
Prior art keywords
air compressor
heat
water
abnormal
temperature
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
Application number
CN202110695842.3A
Other languages
Chinese (zh)
Other versions
CN113449977A (en
Inventor
孙小琴
胡培生
胡明辛
杨瑞清
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Xinzuan Energy Saving Technology Co ltd
Original Assignee
Guangdong Xinzuan Energy Saving Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong Xinzuan Energy Saving Technology Co ltd filed Critical Guangdong Xinzuan Energy Saving Technology Co ltd
Priority to CN202110695842.3A priority Critical patent/CN113449977B/en
Publication of CN113449977A publication Critical patent/CN113449977A/en
Application granted granted Critical
Publication of CN113449977B publication Critical patent/CN113449977B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B39/00—Component parts, details, or accessories, of pumps or pumping systems specially adapted for elastic fluids, not otherwise provided for in, or of interest apart from, groups F04B25/00 - F04B37/00
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28D—HEAT-EXCHANGE APPARATUS, NOT PROVIDED FOR IN ANOTHER SUBCLASS, IN WHICH THE HEAT-EXCHANGE MEDIA DO NOT COME INTO DIRECT CONTACT
    • F28D21/00—Heat-exchange apparatus not covered by any of the groups F28D1/00 - F28D20/00
    • F28D21/0001—Recuperative heat exchangers
    • F28D21/0014—Recuperative heat exchangers the heat being recuperated from waste air or from vapors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/30—Administration of product recycling or disposal
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Mechanical Engineering (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Thermal Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

本发明公开了一种空压站热量回收利用系统，本发明涉及热量回收利用技术领域，解决了现有技术中不能够对多余热量进行数值计算导致空压机运行效率降低，通过热量测定单元对空压机的运行信息进行分析，对空压机运行产生的热量进行测定，通过公式获取到空压机的热量检测系数RLi，若空压机的热量检测系数RLi≥热量检测系数阈值，则判定空压机的热量需进行热量测定，获取到空压机运行前内部空气的温度值，空压机运行后获取到当前空压机内部空气温度，通过公式获取到空压机运行时释放的热量Qi；对空压机的热量进行检测，并将多余热量进行数值计算，提高了热量回收利用的准确性，防止回收时机不合适，导致空压机运行效率降低。

Figure 202110695842

The invention discloses a heat recovery and utilization system for an air compressor station. The invention relates to the technical field of heat recovery and utilization, and solves the problem that the operation efficiency of an air compressor is reduced due to the inability to perform numerical calculation on excess heat in the prior art. The operation information of the air compressor is analyzed, the heat generated by the operation of the air compressor is measured, and the heat detection coefficient RLi of the air compressor is obtained through the formula. If the heat detection coefficient RLi of the air compressor ≥ the heat detection coefficient threshold, it is determined The heat of the air compressor needs to be measured, and the temperature value of the air inside the air compressor before the operation of the air compressor is obtained. After the air compressor is operated, the current air temperature inside the air compressor is obtained, and the heat released during the operation of the air compressor is obtained through the formula. Qi; Detects the heat of the air compressor, and calculates the excess heat numerically, which improves the accuracy of heat recovery and utilization, preventing inappropriate recovery timing and reducing the operating efficiency of the air compressor.

Figure 202110695842

Description

Heat recycling system of air compression station
Technical Field
The invention relates to the technical field of heat recycling, in particular to a heat recycling system of an air compression station.
Background
Compressed air is widely applied to various fields of industrial production, and according to statistics, the electricity consumption of an air compressor accounts for 9.4% of the national electricity consumption. Only 10% of the electric energy consumed by the air compressor is converted into compressed air energy, and the rest 90% of the electric energy is converted into various forms of heat energy to be wasted. In the long-term continuous operation process of the air compressor, the air compressor is heated suddenly by strongly compressing the air, so that high-temperature heat is generated. The heat of the high-temperature oil/gas is 75% of the input power of the compressor, the temperature is between 80 and 100 ℃, and the heat is finally exhausted to the atmosphere through the heat dissipation system of the air compressor.
In the prior art, numerical calculation cannot be carried out on the redundant heat, so that the recovery time is not appropriate, and the operation efficiency of the air compressor is reduced.
Disclosure of Invention
The invention aims to provide an air compressor station heat recycling system, wherein operation information of an air compressor is analyzed through a heat measuring unit, heat generated by the operation of the air compressor is measured, a heat detection coefficient RLi of the air compressor is obtained through a formula, if the heat detection coefficient RLi of the air compressor is larger than or equal to a heat detection coefficient threshold value, the heat of the air compressor is judged to be measured, after a manager receives a heat measurement signal, the heat generated by the air compressor is measured, a temperature value of internal air before the operation of the air compressor is obtained and is marked as Ti0, the temperature of the internal air of the air compressor is obtained after the operation of the air compressor and is marked as specific heat Ti1, then under the current Ti1 temperature, the constant pressure capacity of the air is obtained, and the heat Qi released by the operation of the air compressor is obtained through the formula; the heat of the air compressor is detected, and the numerical calculation is carried out on the redundant heat, so that the accuracy of heat recycling is improved, and the situation that the recycling time is improper is prevented, and the running efficiency of the air compressor is reduced.
The purpose of the invention can be realized by the following technical scheme:
a heat recycling system of an air compression station comprises a cloud management platform, a heat measuring unit, a recycling unit, an environment detection unit, an efficiency detection unit, a registration unit and a database;
the heat measuring unit is used for analyzing the operation information of the air compressor, measuring the heat generated by the operation of the air compressor, wherein the operation information of the air compressor comprises temperature data, duration data and power data, the temperature data is the difference value between the temperature and the external temperature in the operation process of the air compressor, the duration data is the working duration of the continuous operation of the air compressor, the power data is the ratio of the operation power of the air compressor to the rated operation power, the air compressor is marked as i, i is 1, 2, … …, n and n is a positive integer, and the specific analysis and measurement process is as follows:
step S1: acquiring a difference value between the temperature of the air compressor in the operation process and the external temperature, and marking the difference value between the temperature of the air compressor in the operation process and the external temperature as CZi;
step S2: acquiring the continuous operation working time of the air compressor, and marking the continuous operation working time of the air compressor as SCi;
step S3: acquiring the ratio of the operating power of the air compressor to the rated operating power, and marking the ratio of the operating power of the air compressor to the rated operating power as BZi;
step S4: acquiring a heat detection coefficient RLi of the air compressor by using a formula RLi ═ beta (CZi × a1+ SCi × a2+ BZi × a3), wherein a1, a2 and a3 are proportional coefficients, a1 is greater than a2 and greater than a3 is greater than 0, and beta is an error correction factor and takes the value of 2.032125;
step S5: comparing the heat detection coefficient RLi of the air compressor with a heat detection coefficient threshold value:
if the heat detection coefficient RLi of the air compressor is larger than or equal to the heat detection coefficient threshold value, judging that the heat of the air compressor needs to be measured, generating a heat measurement signal and sending the heat measurement signal to a mobile phone terminal of a manager;
if the heat detection coefficient RLi of the air compressor is smaller than the heat detection coefficient threshold value, judging that the heat of the air compressor does not need to be measured, generating a heat undetermined signal and sending the heat undetermined signal to a mobile phone terminal of a manager;
step S6: after receiving the heat measuring signal, a manager measures the heat generated by the air compressor, obtains a temperature value of the internal air before the air compressor operates, marks the temperature value as Ti0, obtains the current temperature of the internal air of the air compressor after the air compressor operates, marks the temperature value as Ti1, obtains the constant-pressure specific heat capacity of the air at the current Ti1 temperature, marks the constant-pressure specific heat capacity as Ci, and obtains the heat Qi released when the air compressor operates through a formula Qi which is Ci × m × (Ti1-Ti0), wherein m represents the air quality inside the air compressor; and then, transmitting the heat Qi released when the air compressor operates to the cloud management platform.
Further, after receiving heat Qi released when the press operates, the cloud management platform generates a heat recovery signal and sends the heat recovery signal to the recycling unit, and after receiving the heat recovery signal, the recycling unit recycles the heat, and the specific recycling process is as follows:
step SS 1: acquiring the initial temperature of water in the water tank, marking the initial temperature of the water as T0, and then setting the heated water temperature by a manager according to the use mode of the water, and marking the heated water temperature as T1;
step SS 2: obtaining the specific heat capacity of the water and marking the specific heat capacity of the water as CWater (W)Obtaining the volume value of the water tank and marking the volume value of the water tank as VWater (W)Acquiring the mass of water in the water tank according to the volume value of the water tank, namely obtaining the mass of water in the water tank according to the formula mWater (W)＝α(ρvWater (W)) Wherein rho is the density of water, alpha is an error correction factor, and the value is 2.32562;
step SS 3: the heat Qi and the specific heat CWater (W)Mass m of waterWater (W)And the starting temperature T0 of water into the formula, and calculating by the heat calculation formula Qi ═ CWater (W)×mWater (W)Calculating the temperature T2 at which the heat Qi can heat the water by the aid of the heat quantity Qi (T2-T0), then comparing the temperature T2 of the water with a set water temperature T1, stopping heating the water tank if the temperature T2 of the water is larger than or equal to the set water temperature T1, generating a recovery completion signal, and sending the recovery completion signal to a cloud management platform; if the temperature T2 of the water is less than the set water temperature T1, the water tank is continuously heated.
Further, after receiving the recovery completion signal, the cloud management platform generates an efficiency detection signal and sends the efficiency detection signal to the efficiency detection unit, after receiving the efficiency detection signal, the efficiency detection unit analyzes the efficiency information of the air compressor, so as to detect the heat recovery efficiency of the air compressor, the efficiency information of the air compressor comprises gas production data, electric quantity data and hot water data, the gas production data is a gas production difference value before and after waste heat recovery of the air compressor, the electric quantity data saves the number of degrees for the electric quantity of the air compressor after waste heat recovery, the hot water data is the ton of hot water production of the air compressor after waste heat recovery, and the specific analysis and detection process is as follows:
step T1: acquiring a gas production difference value before and after waste heat recovery of the air compressor, and marking the gas production difference value before and after waste heat recovery of the air compressor as CQi;
step T2: acquiring the electric quantity saving degree of the air compressor after waste heat recovery, and marking the electric quantity saving degree of the air compressor after waste heat recovery as DSi;
step T3: acquiring the tonnage of hot water produced after waste heat recovery of an air compressor, and marking the tonnage of hot water produced after waste heat recovery of the air compressor as RSi;
step T4: by the formula
Figure GDA0003189400340000041
Obtaining an efficiency coefficient JCi of waste heat recovery of the air compressor, wherein b1, b2 and b3 are proportional coefficients, and b1 is more than b2 is more than b3 is more than 0;
step T5: comparing an efficiency coefficient JCi of waste heat recovery of the air compressor with an efficiency coefficient threshold:
if the efficiency coefficient JCi of the air compressor for waste heat recovery is larger than or equal to the efficiency coefficient threshold value, judging that the efficiency of the air compressor for waste heat recovery is high, generating a recovery efficiency normal signal and sending the recovery efficiency normal signal to the cloud management platform;
if the efficiency coefficient JCi of the air compressor for waste heat recovery is less than the efficiency coefficient threshold value, judging that the efficiency of the air compressor for waste heat recovery is low, marking the corresponding air compressor as an abnormal air compressor, simultaneously generating a recovery efficiency abnormal signal and sending the recovery efficiency abnormal signal and the abnormal air compressor to the cloud management platform together.
Further, after the cloud management platform receives the recovery efficiency abnormal signal and the abnormal air compressor, generate an environment detection signal and send the environment detection signal to the environment detection unit, after the environment detection unit receives the environment detection signal, the ambient environment information of the abnormal air compressor is analyzed, thereby the ambient environment of the abnormal air compressor is detected, the ambient environment information of the abnormal air compressor comprises dust data, pressure data and humidity data, the dust data is the dust content of the ambient environment in the operation process of the abnormal air compressor, the pressure data is the difference value of the internal and external pressures in the air storage tank of the abnormal air compressor, the humidity data is the average humidity of the ambient environment of the abnormal air compressor all day, the abnormal air compressor is marked as o, o is 1, 2, … …, m and m is a positive integer, and the specific analysis and detection process is as follows:
step TT 1: acquiring the dust content of the surrounding environment in the running process of the abnormal air compressor, and marking the dust content of the surrounding environment in the running process of the abnormal air compressor as FCo;
step TT 2: acquiring an internal and external pressure difference value of an air storage tank of the abnormal air compressor, and marking the internal and external pressure difference value of the air storage tank of the abnormal air compressor as YLo;
step TT 3: acquiring the average humidity of the surrounding environment of the abnormal air compressor all day, and marking the average humidity of the surrounding environment of the abnormal air compressor all day as SDo;
step TT 4: by the formula HJo ═ (FCo xs 1+ YLo xs 2+ SDo xs 3) es1+s2+s3Obtaining an environment detection coefficient HJo of the abnormal air compressor, wherein s1, s2 and s3 are proportional coefficients, s1 is more than s2 is more than s3 is more than 0, and e is a natural constant;
step TT 5: comparing the environment detection coefficient HJo of the abnormal air compressor with an environment detection coefficient threshold value:
if the environment detection coefficient HJo of the abnormal air compressor is larger than or equal to the environment detection coefficient threshold value, judging that the surrounding environment of the abnormal air compressor is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to a mobile phone terminal of a maintainer;
and if the environment detection coefficient HJo of the abnormal air compressor is less than the environment detection coefficient threshold value, judging that the surrounding environment of the abnormal air compressor is normal, generating an equipment abnormal signal and sending the equipment abnormal signal to a mobile phone terminal of a maintainer.
Further, the registration login unit is used for the manager and the maintainer to submit the manager information and the maintainer information through the mobile phone terminal, and the manager information and the maintainer information which are successfully registered are sent to the database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the person.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the operation information of the air compressor is analyzed by the heat measuring unit, the heat generated by the operation of the air compressor is measured, obtaining the heat detection coefficient RLi of the air compressor through a formula, if the heat detection coefficient RLi of the air compressor is more than or equal to the heat detection coefficient threshold value, then the heat of the air compressor needs to be measured, after the manager receives the heat measuring signal, measuring the heat generated by the air compressor to obtain the temperature value of the air inside the air compressor before the air compressor operates, and is marked as Ti0, the air compressor obtains the current air temperature inside the air compressor after running, and labeled as Ti1, then at the current Ti1 temperature, the constant pressure specific heat capacity of air is taken, and labeled as Ci, acquiring heat Qi released by the air compressor during operation through a formula of Qi, Ci x m x (Ti1-Ti0), and then sending the heat Qi released by the air compressor during operation to a cloud management platform; the heat of the air compressor is detected, and the numerical calculation is carried out on the redundant heat, so that the accuracy of heat recycling is improved, and the reduction of the running efficiency of the air compressor caused by improper recycling time is prevented;
2. according to the invention, after receiving a heat recovery signal, a recovery unit recovers and utilizes heat to obtain the initial temperature of water in the water tank, the initial temperature of the water is marked as T0, and then a manager sets the heated water temperature according to the use mode of the water and marks the heated water temperature as T1; obtaining the specific heat capacity of the water and marking the specific heat capacity of the water as CWater (W)Obtaining the volume value of the water tank and marking the volume value of the water tank as VWater (W)Acquiring the quality of water in the water tank according to the volume value of the water tank, and acquiring the heat Qi and the specific heat CWater (W)Mass m of waterWater (W)Andsubstituting the initial temperature T0 of water into a formula for calculation, calculating the temperature T2 of heat Qi capable of heating water through a heat calculation formula, then comparing the temperature T2 of the water with the set water temperature T1, if the temperature T2 of the water is not less than the set water temperature T1, stopping heating the water tank, generating a recovery completion signal and sending the recovery completion signal to a cloud management platform; if the temperature T2 of the water is less than the set water temperature T1, the water tank is continuously heated; the waste heat is recycled, so that the consumption of resources is saved, and meanwhile, the water temperature is increased to the set temperature through the waste heat, so that the use quality of a user is improved, and the efficiency of waste heat recycling is enhanced.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of 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, the heat recycling system for the air compression station includes a cloud management platform, a heat measuring unit, a recycling unit, an environment detecting unit, an efficiency detecting unit, a registration unit, and a database;
the registration login unit is used for submitting manager information and maintainer information through mobile phone terminals by managers and maintainers, and sending the manager information and the maintainer information which are successfully registered to the database for storage, wherein the manager information comprises the name, the age, the time of entry and the mobile phone number of real-name authentication of the manager, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of real-name authentication of the maintainer;
the heat survey unit is used for analyzing the operation information of air compressor machine, survey the heat that the air compressor machine operation produced, the operation information of air compressor machine includes temperature data, length of time data and power data, temperature data is the temperature and the ambient temperature difference in the air compressor machine operation, length of time data is the operating duration of air compressor machine continuous operation, power data is the ratio of air compressor machine operating power and rated operating power, mark the air compressor machine as i, i is 1, 2, … …, n, n is the positive integer, the specific analysis survey process is as follows:
step S1: acquiring a difference value between the temperature of the air compressor in the operation process and the external temperature, and marking the difference value between the temperature of the air compressor in the operation process and the external temperature as CZi;
step S2: acquiring the continuous operation working time of the air compressor, and marking the continuous operation working time of the air compressor as SCi;
step S3: acquiring the ratio of the operating power of the air compressor to the rated operating power, and marking the ratio of the operating power of the air compressor to the rated operating power as BZi;
step S4: acquiring a heat detection coefficient RLi of the air compressor by using a formula RLi ═ beta (CZi × a1+ SCi × a2+ BZi × a3), wherein a1, a2 and a3 are proportional coefficients, a1 is greater than a2 and greater than a3 is greater than 0, and beta is an error correction factor and takes the value of 2.032125;
step S5: comparing the heat detection coefficient RLi of the air compressor with a heat detection coefficient threshold value:
if the heat detection coefficient RLi of the air compressor is larger than or equal to the heat detection coefficient threshold value, judging that the heat of the air compressor needs to be measured, generating a heat measurement signal and sending the heat measurement signal to a mobile phone terminal of a manager;
if the heat detection coefficient RLi of the air compressor is smaller than the heat detection coefficient threshold value, judging that the heat of the air compressor does not need to be measured, generating a heat undetermined signal and sending the heat undetermined signal to a mobile phone terminal of a manager;
step S6: after receiving the heat measuring signal, a manager measures the heat generated by the air compressor, obtains a temperature value of the internal air before the air compressor operates, marks the temperature value as Ti0, obtains the current temperature of the internal air of the air compressor after the air compressor operates, marks the temperature value as Ti1, obtains the constant-pressure specific heat capacity of the air at the current Ti1 temperature, marks the constant-pressure specific heat capacity as Ci, and obtains the heat Qi released when the air compressor operates through a formula Qi which is Ci × m × (Ti1-Ti0), wherein m represents the air quality inside the air compressor; then, transmitting heat Qi released when the air compressor operates to a cloud management platform;
after the cloud management platform receives the heat Qi released when the press operates, heat recovery signals are generated and sent to the recycling unit, and after the recycling unit receives the heat recovery signals, the heat is recycled, and the specific recycling process is as follows:
step SS 1: acquiring the initial temperature of water in the water tank, marking the initial temperature of the water as T0, and then setting the heated water temperature by a manager according to the use mode of the water, and marking the heated water temperature as T1;
step SS 2: obtaining the specific heat capacity of the water and marking the specific heat capacity of the water as CWater (W)Obtaining the volume value of the water tank and marking the volume value of the water tank as VWater (W)Acquiring the mass of water in the water tank according to the volume value of the water tank, namely obtaining the mass of water in the water tank according to the formula mWater (W)＝α(ρvWater (W)) Wherein rho is the density of water, alpha is an error correction factor, and the value is 2.32562;
step SS 3: the heat Qi and the specific heat CWater (W)Mass m of waterWater (W)And the starting temperature T0 of water into the formula, and calculating by the heat calculation formula Qi ═ CWater (W)×mWater (W)Calculating the temperature T2 at which the heat Qi can heat the water by the aid of the heat quantity Qi (T2-T0), then comparing the temperature T2 of the water with a set water temperature T1, stopping heating the water tank if the temperature T2 of the water is larger than or equal to the set water temperature T1, generating a recovery completion signal, and sending the recovery completion signal to a cloud management platform; if the temperature T2 of the water is less than the set water temperature T1, the water tank is continuously heated;
after the cloud management platform receives the recovery completion signal, generate efficiency detection signal and send efficiency detection signal to efficiency detecting element, after efficiency detecting element received efficiency detection signal, the efficiency information to the air compressor machine carries out the analysis, thereby detect the heat recovery efficiency to the air compressor machine, the efficiency information of air compressor machine includes the gas production data, electric quantity data and hot water data, the gas production difference before and after the gas production data carries out waste heat recovery for the air compressor machine, electric quantity data saves the number of degrees for the electric quantity of air compressor machine after carrying out waste heat recovery, hot water data produces hydrothermal ton after carrying out waste heat recovery for the air compressor machine, concrete analysis testing process is as follows:
step T1: acquiring a gas production difference value before and after waste heat recovery of the air compressor, and marking the gas production difference value before and after waste heat recovery of the air compressor as CQi;
step T2: acquiring the electric quantity saving degree of the air compressor after waste heat recovery, and marking the electric quantity saving degree of the air compressor after waste heat recovery as DSi;
step T3: acquiring the tonnage of hot water produced after waste heat recovery of an air compressor, and marking the tonnage of hot water produced after waste heat recovery of the air compressor as RSi;
step T4: by the formula
Figure GDA0003189400340000101
Obtaining an efficiency coefficient JCi of waste heat recovery of the air compressor, wherein b1, b2 and b3 are proportional coefficients, and b1 is more than b2 is more than b3 is more than 0;
step T5: comparing an efficiency coefficient JCi of waste heat recovery of the air compressor with an efficiency coefficient threshold:
if the efficiency coefficient JCi of the air compressor for waste heat recovery is larger than or equal to the efficiency coefficient threshold value, judging that the efficiency of the air compressor for waste heat recovery is high, generating a recovery efficiency normal signal and sending the recovery efficiency normal signal to the cloud management platform;
if the efficiency coefficient JCi of the air compressor for waste heat recovery is less than the efficiency coefficient threshold value, judging that the efficiency of the air compressor for waste heat recovery is low, marking the corresponding air compressor as an abnormal air compressor, simultaneously generating a recovery efficiency abnormal signal and sending the recovery efficiency abnormal signal and the abnormal air compressor to the cloud management platform together;
after recovery efficiency abnormal signal and unusual air compressor machine were received to the cloud management platform, generate the environment detection signal and send the environment detection signal to the environment detecting element, the environment detecting element receives the environment detection signal after, the peripheral environment information to unusual air compressor machine carries out the analysis, thereby detect unusual air compressor machine peripheral environment, unusual air compressor machine's peripheral environment information includes dust data, pressure data and humidity data, dust data is the dust content of unusual air compressor machine operation in-process peripheral environment, pressure data is the inside and outside pressure differential value of the gas holder of unusual air compressor machine, humidity data is the average humidity all day of unusual air compressor machine peripheral environment, mark unusual air compressor machine as o, o is 1, 2, … …, m, m is the positive integer, concrete analysis and detection process is as follows:
step TT 1: acquiring the dust content of the surrounding environment in the running process of the abnormal air compressor, and marking the dust content of the surrounding environment in the running process of the abnormal air compressor as FCo;
step TT 2: acquiring an internal and external pressure difference value of an air storage tank of the abnormal air compressor, and marking the internal and external pressure difference value of the air storage tank of the abnormal air compressor as YLo;
step TT 3: acquiring the average humidity of the surrounding environment of the abnormal air compressor all day, and marking the average humidity of the surrounding environment of the abnormal air compressor all day as SDo;
step TT 4: by the formula HJo ═ (FCo xs 1+ YLo xs 2+ SDo xs 3) es1+s2+s3Obtaining an environment detection coefficient HJo of the abnormal air compressor, wherein s1, s2 and s3 are proportional coefficients, s1 is more than s2 is more than s3 is more than 0, and e is a natural constant;
step TT 5: comparing the environment detection coefficient HJo of the abnormal air compressor with an environment detection coefficient threshold value:
if the environment detection coefficient HJo of the abnormal air compressor is larger than or equal to the environment detection coefficient threshold value, judging that the surrounding environment of the abnormal air compressor is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to a mobile phone terminal of a maintainer;
and if the environment detection coefficient HJo of the abnormal air compressor is less than the environment detection coefficient threshold value, judging that the surrounding environment of the abnormal air compressor is normal, generating an equipment abnormal signal and sending the equipment abnormal signal to a mobile phone terminal of a maintainer.
The working principle of the invention is as follows:
a heat recycling system of an air compression station comprises a heat measuring unit, a heat detecting coefficient RLi of an air compressor is obtained through a formula, if the heat detecting coefficient RLi of the air compressor is larger than or equal to a heat detecting coefficient threshold value, the heat of the air compressor is judged to be required to be measured, after a manager receives a heat measuring signal, the heat generated by the air compressor is measured, a temperature value of the internal air before the air compressor operates is obtained and marked as Ti0, the current air temperature of the air compressor is obtained after the air compressor operates and marked as Ti1, then the constant pressure specific heat capacity of the air is obtained under the current Ti1 temperature and marked as Ci, the heat Qi released when the air compressor operates is obtained through the formula Qi Cixmxm (Ti1-Ti0), wherein m represents the air mass inside the air compressor; and then, transmitting the heat Qi released when the air compressor operates to the cloud management platform.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (3)

1.一种空压站热量回收利用系统，其特征在于，包括云管理平台、热量测定单元、回收利用单元、环境检测单元、效率检测单元、注册登录单元以及数据库；1. A heat recovery and utilization system for an air compressor station, characterized in that, comprising a cloud management platform, a heat measurement unit, a recycling unit, an environmental detection unit, an efficiency detection unit, a registration unit and a database; 所述热量测定单元用于对空压机的运行信息进行分析，对空压机运行产生的热量进行测定，空压机的运行信息包括温度数据、时长数据以及功率数据，温度数据为空压机运行过程中的温度与外界温度差值，时长数据为空压机连续运行的工作时长，功率数据为空压机运行功率与额定运行功率的比值，将空压机标记为i，i＝1，2，……，n，n为正整数，具体分析测定过程如下：The heat measurement unit is used to analyze the operation information of the air compressor and measure the heat generated by the operation of the air compressor. The operation information of the air compressor includes temperature data, duration data and power data, and the temperature data is the air compressor. The difference between the temperature during operation and the outside temperature, the duration data is the working time of the air compressor in continuous operation, the power data is the ratio of the air compressor operating power to the rated operating power, and the air compressor is marked as i, i=1, 2, ..., n, n are positive integers, and the specific analysis and determination process is as follows: 步骤S1：获取到空压机运行过程中的温度与外界温度差值，并将空压机运行过程中的温度与外界温度差值标记为CZi；Step S1: obtaining the difference between the temperature during the operation of the air compressor and the outside temperature, and marking the difference between the temperature during the operation of the air compressor and the outside temperature as CZi; 步骤S2：获取到空压机连续运行的工作时长，并将空压机连续运行的工作时长标记为SCi；Step S2: obtaining the working time of the continuous operation of the air compressor, and marking the working time of the continuous operation of the air compressor as SCi; 步骤S3：获取到空压机运行功率与额定运行功率的比值，并将空压机运行功率与额定运行功率的比值标记为BZi；Step S3: obtaining the ratio of the operating power of the air compressor to the rated operating power, and marking the ratio of the operating power of the air compressor to the rated operating power as BZi; 步骤S4：通过公式RLi＝β(CZi×a1+SCi×a2+BZi×a3)获取到空压机的热量检测系数RLi，其中，a1、a2以及a3均为比例系数，且a1＞a2＞a3＞0，β为误差修正因子，取值为2.032125；Step S4: Obtain the heat detection coefficient RLi of the air compressor through the formula RLi=β(CZi×a1+SCi×a2+BZi×a3), wherein a1, a2 and a3 are proportional coefficients, and a1>a2>a3 >0, β is the error correction factor, the value is 2.032125; 步骤S5：将空压机的热量检测系数RLi与热量检测系数阈值进行比较：Step S5: Compare the heat detection coefficient RLi of the air compressor with the heat detection coefficient threshold: 若空压机的热量检测系数RLi≥热量检测系数阈值，则判定空压机产生的热量需进行热量测定，生成热量测定信号并将热量测定信号发送至管理人员的手机终端；If the heat detection coefficient RLi of the air compressor is greater than or equal to the heat detection coefficient threshold, it is determined that the heat generated by the air compressor needs to be measured, and a heat measurement signal is generated and sent to the manager's mobile terminal; 若空压机的热量检测系数RLi＜热量检测系数阈值，则判定空压机产生的热量不需进行热量测定，生成热量不测定信号并将热量不测定信号发送至管理人员的手机终端；If the heat detection coefficient RLi of the air compressor is less than the heat detection coefficient threshold, it is determined that the heat generated by the air compressor does not need to be measured, and the heat non-measurement signal is generated and sent to the manager's mobile phone terminal; 步骤S6：管理人员接收到热量测定信号后，对空压机产生的热量进行测定，获取到空压机运行前内部空气的温度值，并将其标记为Ti0，空压机运行后获取到当前空压机内部空气温度，并将其标记为Til，随后在当前Ti1温度下，获取到空气的定压比热容，并将其标记为Ci，通过公式Qi＝Ci×m×(Til-Ti0)获取到空压机运行时释放的热量Qi，其中，m表示为空压机内部的空气质量；随后将空压机运行时释放的热量Qi发送至云管理平台；Step S6: After receiving the heat measurement signal, the manager measures the heat generated by the air compressor, obtains the temperature value of the internal air before the air compressor runs, and marks it as Ti0, and obtains the current value after the air compressor runs. The air temperature inside the air compressor is marked as Til, and then at the current Ti1 temperature, the constant pressure specific heat capacity of the air is obtained and marked as Ci, obtained by the formula Qi=Ci×m×(Til-Ti0) The heat Qi released when the air compressor is running, where m represents the air quality inside the air compressor; then the heat Qi released when the air compressor is running is sent to the cloud management platform; 所述云管理平台接收到压机运行时释放的热量Qi后，生成热量回收信号并将热量回收信号发送至回收利用单元，所述回收利用单元接收到热量回收信号后，对热量进行回收利用，具体回收利用过程如下：After the cloud management platform receives the heat Qi released by the press during operation, it generates a heat recovery signal and sends the heat recovery signal to the recycling unit, and the recycling unit recycles the heat after receiving the heat recovery signal, The specific recycling process is as follows: 步骤SS1：获取到水箱内部水的起始温度，并将水的起始温度标记为T0，随后管理人员根据水的使用方式对加热后的水温进行设定，并将加热后的水温标记为T1；Step SS1: Obtain the initial temperature of the water inside the water tank, and mark the initial temperature of the water as T0. Then the manager sets the heated water temperature according to the usage of the water, and marks the heated water temperature as T1 ; 步骤SS2：获取到水的比热容并将水的比热容标记为C水，获取水箱的体积数值并将水箱的体积数值标记为V水，根据水箱的体积数值获取到水箱内水的质量，即公式为m水＝α(ρv水)，其中，ρ为水的密度，α为误差修正因子，取值为2.32562；Step SS2: Obtain the specific heat capacity of water and mark the specific heat capacity of water as C water , obtain the volume value of the water tank and mark the volume value of the water tank as V water , and obtain the mass of water in the water tank according to the volume value of the water tank, that is, the formula is m water =α(ρv water ), where ρ is the density of water, α is the error correction factor, and the value is 2.32562; 步骤SS3：将热量Qi、比热容C水、水的质量m水以及水的起始温度T0代入公式计算，通过热量计算公式Qi＝C水×m水×(T2-T0)计算出热量Qi能够将水加热的温度T2，随后将水的温度T2与设定水温T1进行比较，若水的温度T2≥设定水温T1，则停止对该水箱的加热，生成回收完成信号并将回收完成信号发送至云管理平台；若水的温度T2＜设定水温T1，则继续对该水箱进行加热；Step SS3: Substitute the heat Qi, the specific heat capacity C water , the mass of water m water , and the initial temperature T0 of the water into the formula for calculation, and calculate the heat Qi by the heat calculation formula Qi=C water × m water × (T2-T0). The water heating temperature T2, then compare the water temperature T2 with the set water temperature T1, if the water temperature T2 ≥ the set water temperature T1, stop the heating of the water tank, generate a recovery completion signal and send the recovery completion signal to the cloud Management platform; if the water temperature T2 < set water temperature T1, continue to heat the water tank; 所述云管理平台接收到回收完成信号后，生成效率检测信号并将效率检测信号发送至效率检测单元，所述效率检测单元接收效率检测信号后，对空压机的效率信息进行分析，从而对空压机的热量回收效率进行检测，空压机的效率信息包括产气量数据、电量数据以及热水数据，产气量数据为空压机进行余热回收前后的产气量差值，电量数据为空压机进行余热回收后的电量节省度数，热水数据为空压机进行余热回收后生产热水的吨数，具体分析检测过程如下：After the cloud management platform receives the recovery completion signal, it generates an efficiency detection signal and sends the efficiency detection signal to the efficiency detection unit. After receiving the efficiency detection signal, the efficiency detection unit The heat recovery efficiency of the air compressor is tested. The efficiency information of the air compressor includes the gas production data, the electricity data and the hot water data. The gas production data is the difference between the air production before and after the waste heat recovery of the air compressor, and the electricity data is the air pressure. The amount of electricity saved by the air compressor after waste heat recovery is calculated. The hot water data is the number of tons of hot water produced by the air compressor after waste heat recovery. The specific analysis and detection process is as follows: 步骤T1：获取到空压机进行余热回收前后的产气量差值，并将空压机进行余热回收前后的产气量差值标记为CQi；Step T1: Obtain the difference in gas production before and after the air compressor performs waste heat recovery, and mark the difference in gas production before and after the air compressor performs waste heat recovery as CQi; 步骤T2：获取到空压机进行余热回收后的电量节省度数，并将空压机进行余热回收后的电量节省度数标记为DSi；Step T2: Obtain the degree of power saving after the air compressor performs waste heat recovery, and mark the degree of power saving after the air compressor performs waste heat recovery as DSi; 步骤T3：获取到空压机进行余热回收后生产热水的吨数，并将空压机进行余热回收后生产热水的吨数标记为RSi；Step T3: Obtain the tonnage of hot water produced by the air compressor after waste heat recovery is performed, and mark the tonnage of hot water produced by the air compressor after waste heat recovery as RSi; 步骤T4：通过公式
Figure FDA0003440467450000031
获取到空压机进行余热回收的效率系数JCi，其中，b1、b2以及b3均为比例系数，且b1＞b2＞b3＞0；Step T4: Pass the formula
Figure FDA0003440467450000031
Obtain the efficiency coefficient JCi of the air compressor for waste heat recovery, wherein b1, b2 and b3 are proportional coefficients, and b1>b2>b3>0; 步骤T5：将空压机进行余热回收的效率系数JCi与效率系数阈值进行比较：Step T5: Compare the efficiency coefficient JCi of the air compressor for waste heat recovery with the efficiency coefficient threshold: 若空压机进行余热回收的效率系数JCi≥效率系数阈值，则判定空压机进行余热回收的效率高，生成回收效率正常信号并将回收效率正常信号发送至云管理平台；If the efficiency coefficient JCi of the air compressor for waste heat recovery is greater than or equal to the threshold value of the efficiency coefficient, it is determined that the efficiency of the air compressor for waste heat recovery is high, and a normal recovery efficiency signal is generated and sent to the cloud management platform; 若空压机进行余热回收的效率系数JCi＜效率系数阈值，则判定空压机进行余热回收的效率低，将对应空压机标记为异常空压机，同时生成回收效率异常信号并将回收效率异常信号和异常空压机一同发送至云管理平台；If the efficiency coefficient JCi of the air compressor for waste heat recovery is less than the efficiency coefficient threshold, it is determined that the efficiency of the air compressor for waste heat recovery is low, the corresponding air compressor is marked as an abnormal air compressor, and an abnormal recovery efficiency signal is generated at the same time. The abnormal signal and the abnormal air compressor are sent to the cloud management platform together; 所述云管理平台接收到回收效率异常信号和异常空压机后，生成环境检测信号并将环境检测信号发送至环境检测单元，环境检测单元接收到环境检测信号后，对异常空压机的周边环境信息进行分析，从而对异常空压机周边环境进行检测，异常空压机的周边环境信息包括粉尘数据、压力数据以及湿度数据，粉尘数据为异常空压机运行过程中周边环境的粉尘含量，压力数据为异常空压机的储气罐内外压力差值，湿度数据为异常空压机周边环境的全天平均湿度，将异常空压机标记为o，o＝1，2，……，m，m为正整数；After the cloud management platform receives the abnormal signal of recovery efficiency and the abnormal air compressor, it generates an environmental detection signal and sends the environmental detection signal to the environmental detection unit. The environmental information is analyzed to detect the surrounding environment of the abnormal air compressor. The surrounding environment information of the abnormal air compressor includes dust data, pressure data and humidity data. The dust data is the dust content of the surrounding environment during the operation of the abnormal air compressor. The pressure data is the pressure difference inside and outside the air storage tank of the abnormal air compressor, and the humidity data is the average humidity of the surrounding environment of the abnormal air compressor. Mark the abnormal air compressor as o, o=1, 2, ..., m , m is a positive integer; 所述注册登录单元用于管理人员和维护人员通过手机终端提交管理人员信息和维护人员信息，并将注册成功的管理人员信息和维护人员信息发送至数据库进行储存。The registration and login unit is used for management personnel and maintenance personnel to submit management personnel information and maintenance personnel information through the mobile phone terminal, and send the successfully registered management personnel information and maintenance personnel information to a database for storage. 2.根据权利要求1所述的一种空压站热量回收利用系统，其特征在于，所述异常空压机周边环境的具体分析检测过程如下：2. a kind of air compressor station heat recovery and utilization system according to claim 1, is characterized in that, the concrete analysis and detection process of described abnormal air compressor surrounding environment is as follows: 步骤TT1：获取到异常空压机运行过程中周边环境的粉尘含量，并将异常空压机运行过程中周边环境的粉尘含量标记为FCo；Step TT1: Obtain the dust content of the surrounding environment during the operation of the abnormal air compressor, and mark the dust content of the surrounding environment during the operation of the abnormal air compressor as FCo; 步骤TT2：获取到异常空压机的储气罐内外压力差值，并将异常空压机的储气罐内外压力差值标记为YLo；Step TT2: Obtain the pressure difference between the inside and outside of the air storage tank of the abnormal air compressor, and mark the pressure difference between the inside and outside of the air storage tank of the abnormal air compressor as YLo; 步骤TT3：获取到异常空压机周边环境的全天平均湿度，并将异常空压机周边环境的全天平均湿度标记为SDo；Step TT3: Obtain the all-day average humidity of the surrounding environment of the abnormal air compressor, and mark the all-day average humidity of the surrounding environment of the abnormal air compressor as SDo; 步骤TT4：通过公式HJo＝(FCo×s1+YLo×s2+SDo×s3)es1+s2+s3获取到异常空压机的环境检测系数HJo，其中，s1、s2以及s3均为比例系数，且s1＞s2＞s3＞0，e为自然常数；Step TT4: Obtain the environmental detection coefficient HJo of the abnormal air compressor through the formula HJo=(FCo×s1+YLo×s2+SDo×s3)e s1+s2+s3 , wherein s1, s2 and s3 are proportional coefficients, And s1>s2>s3>0, e is a natural constant; 步骤TT5：将异常空压机的环境检测系数HJo与环境检测系数阈值进行比较：Step TT5: Compare the environmental detection coefficient HJo of the abnormal air compressor with the environmental detection coefficient threshold: 若异常空压机的环境检测系数HJo≥环境检测系数阈值，判定异常空压机周边环境异常，生成环境异常信号并将环境异常信号发送至维护人员的手机终端；If the environmental detection coefficient HJo of the abnormal air compressor is greater than or equal to the environmental detection coefficient threshold, it is determined that the surrounding environment of the abnormal air compressor is abnormal, an environmental abnormality signal is generated, and the environmental abnormality signal is sent to the mobile terminal of the maintenance personnel; 若异常空压机的环境检测系数HJo＜环境检测系数阈值，判定异常空压机周边环境正常，生成设备异常信号并将设备异常信号发送至维护人员的手机终端。If the environmental detection coefficient HJo of the abnormal air compressor is less than the environmental detection coefficient threshold, it is determined that the surrounding environment of the abnormal air compressor is normal, and the equipment abnormal signal is generated and sent to the mobile terminal of the maintenance personnel. 3.根据权利要求1所述的一种空压站热量回收利用系统，其特征在于，所述管理人员信息包括管理人员的姓名、年龄、入职时间以及本人实名认证的手机号码，维护人员信息包括维护人员的姓名、年龄、入职时间以及本人实名认证的手机号码。3. The heat recovery and utilization system of an air compressor station according to claim 1, wherein the management personnel information includes the management personnel's name, age, entry time and the mobile phone number authenticated by their real name, and the maintenance personnel information includes The maintenance personnel's name, age, entry time, and their mobile phone number for real-name authentication.
CN202110695842.3A 2021-06-23 2021-06-23 Heat recycling system of air compression station Active CN113449977B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110695842.3A CN113449977B (en) 2021-06-23 2021-06-23 Heat recycling system of air compression station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110695842.3A CN113449977B (en) 2021-06-23 2021-06-23 Heat recycling system of air compression station

Publications (2)

Publication Number Publication Date
CN113449977A CN113449977A (en) 2021-09-28
CN113449977B true CN113449977B (en) 2022-02-22

Family

ID=77812314

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110695842.3A Active CN113449977B (en) 2021-06-23 2021-06-23 Heat recycling system of air compression station

Country Status (1)

Country Link
CN (1) CN113449977B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115657627A (en) * 2022-10-31 2023-01-31 安徽三马信息科技有限公司 Energy efficiency diagnosis system and method for factory public and auxiliary equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107191992A (en) * 2017-05-26 2017-09-22 西安纺织集团有限责任公司 A kind of air compression station heat recovery cyclic utilization system
CN208252306U (en) * 2018-05-31 2018-12-18 山东安悦节能技术有限公司 The recycling of automobile industry residual heat of air compressor and chilled water storage system
CN112571149A (en) * 2020-12-05 2021-03-30 董云春 Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9115603B2 (en) * 2012-07-24 2015-08-25 Electratherm, Inc. Multiple organic Rankine cycle system and method
JP5985405B2 (en) * 2013-01-28 2016-09-06 株式会社日立産機システム Waste heat recovery system for oil-cooled gas compressor

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107191992A (en) * 2017-05-26 2017-09-22 西安纺织集团有限责任公司 A kind of air compression station heat recovery cyclic utilization system
CN208252306U (en) * 2018-05-31 2018-12-18 山东安悦节能技术有限公司 The recycling of automobile industry residual heat of air compressor and chilled water storage system
CN112571149A (en) * 2020-12-05 2021-03-30 董云春 Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
有油螺杆空压机余热回收的换热器选型及应用技术的研究;程艳;《中国优秀硕士学位论文全文数据库 工程科技I辑》;20160930(第09期);全文 *
王近邻;空压站余热回收系统节能设计;《中国建筑金属结构》;20130430(第5期);第126-128页 *

Also Published As

Publication number Publication date
CN113449977A (en) 2021-09-28

Similar Documents

Publication Publication Date Title
CN116772944B (en) Intelligent monitoring system and method for gas distribution station
CN117664281B (en) Ultrasonic water meter fault detection and automatic calibration method and system based on Internet of Things
CN106124850A (en) A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof
CN113783272B (en) Safety control method based on super capacitor monitoring management system
CN103246265A (en) Detection and maintenance system and method for electromechanical device
CN110750760B (en) Anomaly Theoretical Line Loss Detection Method Based on Situation Awareness and Control Chart
CN113449977B (en) Heat recycling system of air compression station
CN110188399B (en) A single measurement point evaluation method for dam safety monitoring based on multi-correlation sequence
CN111914386B (en) A reliability assessment method and system based on uncertainty analysis of degradation models
CN104535949A (en) Method and system for on-site verification of power quality monitoring device
CN112433091A (en) Real-time detection system for power consumption of chip
CN104833456B (en) An on-site detection device and method for a pressure sensor of a valve cooling system
CN118133017A (en) An intelligent prediction system for energy consumption in industrial production processes and its prediction algorithm
CN106837768A (en) A kind of air compressor efficiency on-line checking assessment system and method
CN117540225B (en) A distributed UPS system consistency evaluation system and method based on DBSCAN clustering
CN111537755A (en) Comparison verification method for alcohol standard gas generated by generating device
CN114199304A (en) Abnormity detection method and device for communication machine room of photovoltaic power station and computer equipment
CN114422405A (en) Safety detection system and method for payment environment
CN105844901A (en) Security energy efficiency monitoring terminal based on tamper-proof technology and monitoring method of security energy efficiency monitoring terminal
CN116540170A (en) Remote online verification system for charging pile
CN115473924A (en) Carbon emission metering system based on thing networking block chain
CN118644087A (en) A special transformer acquisition terminal operation data analysis method and storage medium
CN119030908A (en) Function detection device for Internet of things
CN112034048A (en) Beam structure crack positioning method based on multiple frequency response function estimation
CN114754920B (en) Industrial furnace chamber pressure detection system and working method thereof

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
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Heat Recovery and Utilization System for Air Compression Station

Effective date of registration: 20231020

Granted publication date: 20220222

Pledgee: Guangdong Hengfu Financial Leasing Co.,Ltd.

Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd.

Registration number: Y2023980062019

PE01 Entry into force of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Granted publication date: 20220222

Pledgee: Guangdong Hengfu Financial Leasing Co.,Ltd.

Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd.

Registration number: Y2023980062019

PC01 Cancellation of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Heat Recovery and Utilization System for Air Compression Station

Granted publication date: 20220222

Pledgee: Guangdong Dongjin Financial Leasing Co.,Ltd.

Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd.

Registration number: Y2025980037058

PE01 Entry into force of the registration of the contract for pledge of patent right