CN112413718A - Remote control floor heating system - Google Patents
Remote control floor heating system Download PDFInfo
- Publication number
- CN112413718A CN112413718A CN202011288807.1A CN202011288807A CN112413718A CN 112413718 A CN112413718 A CN 112413718A CN 202011288807 A CN202011288807 A CN 202011288807A CN 112413718 A CN112413718 A CN 112413718A
- Authority
- CN
- China
- Prior art keywords
- heating
- house
- user
- area
- floor
- 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.)
- Pending
Links
- 238000010438 heat treatment Methods 0.000 title claims abstract description 167
- 230000003993 interaction Effects 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims description 29
- 238000012423 maintenance Methods 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000713575 Homo sapiens Tubulin beta-3 chain Proteins 0.000 claims description 3
- 101000713585 Homo sapiens Tubulin beta-4A chain Proteins 0.000 claims description 3
- 102100036790 Tubulin beta-3 chain Human genes 0.000 claims description 3
- 102100036788 Tubulin beta-4A chain Human genes 0.000 claims description 3
- 239000008186 active pharmaceutical agent Substances 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 4
- 230000017525 heat dissipation Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Steam Or Hot-Water Central Heating Systems (AREA)
Abstract
The invention discloses a remote control floor heating system, which relates to the technical field of remote control heating and solves the technical problem that heating resources are unnecessarily wasted due to the fact that the floor in a house cannot be subjected to regional division in the prior art, daily information is analyzed through a dividing unit, the floor in the house is subjected to regional division, the average number of people moving in each region and the interaction frequency of users are obtained, each region is subjected to level division, the heating sequence of each region is sequenced according to the sequence of the heating region from small to large, each sequenced region is sent to a mobile phone terminal of the user, the user is sequentially exchanged through the mobile phone terminal, and each exchanged region is sent to a database to be stored; the floor of the house is divided into areas, unnecessary resource waste is reduced while the house is heated, and the practicability of the heating system is improved.
Description
Technical Field
The invention relates to the technical field of remote control heating, in particular to a remote control floor heating system.
Background
Basic working principle of the heating system: the low-temperature heat medium is heated in the heat source, and after absorbing heat, the low-temperature heat medium is changed into a high-temperature heat medium (high-temperature water or steam), and the high-temperature heat medium is sent to the indoor through a conveying pipeline, and the heat is released through a heat dissipation device to increase the indoor temperature; the temperature is reduced after heat dissipation to become a low-temperature heating medium (low-temperature water), and the low-temperature heating medium returns to a heat source through a recovery pipeline for recycling. The circulation is continuous, so that heat is continuously sent into the room from the heat source to supplement heat loss in the room, and the room is kept at a certain temperature.
However, in the prior art, the floor in the house cannot be divided into areas, which causes unnecessary waste of heating resources and reduces the working efficiency of the heating system.
Disclosure of Invention
The invention aims to provide a remote control floor heating system, which analyzes daily information through a dividing unit so as to divide areas in a house, divides the floor in the house into areas, obtains the average number of people moving in each area and the interaction frequency of a user, compares the average number of people moving in each area Si and the interaction frequency Pi of the user with L1 and L2 respectively, grades each area, then performs heating sequencing on each area, sequences the heating sequence of each area from small to large according to the grade of the heating area, sends each sequenced area to a mobile phone terminal of the user, and the user performs sequence exchange through the mobile phone terminal and sends each exchanged area to a database for storage; the floor of the house is divided into areas, unnecessary resource waste is reduced while the house is heated, and the practicability of the heating system is improved.
The purpose of the invention can be realized by the following technical scheme:
a remote control floor heating system comprises a data acquisition unit, a detection unit, a dividing unit, a remote control unit, a cloud control platform, a registration unit and a database;
the remote control unit is used for the user to carry out remote control through the mobile phone terminal, and the specific process is as follows:
l1: a user sends a heating signal through a mobile phone terminal, sets the time for starting heating, and then sends the heating signal and the heating time to a cloud control platform;
l2: the cloud control platform receives the heating signal, acquires a heating sequence in the database, heats according to the heating sequence in the database, and automatically closes according to the heating time set by a user;
l3: if the user does not set the closing time and the heating time exceeds the set threshold, generating a closing signal and sending the closing signal to the mobile phone terminal of the user, and after the time threshold t, if the user does not send the heating ending signal through the mobile phone terminal, sending the closing signal to the mobile phone terminal of the user in a voice mode.
Further, the registration login unit is used for submitting user information and maintenance personnel information for registration through mobile phone terminals by a user and maintenance personnel, and sending the user information and the maintenance personnel information which are successfully registered to the database for storage, wherein the user information is the name, the age, family members and the mobile phone number of the personal real name authentication, and the maintenance personnel information is the name, the age, the time of employment and the mobile phone number of the personal real name authentication.
Further, the data acquisition unit is used for gathering house information to carry out the analysis to house information, house information is temperature data, number of people data and difference in temperature data, and temperature data is the sum of the average temperature of the whole day outside the house and the average temperature of the whole day in the house, and number of people data is the number of people in the house, and difference in temperature data is the difference of the real-time temperature outside the house and the real-time temperature in the house, and concrete collection analytic process is as follows:
step one, acquiring the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house, and marking the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house as WD;
step two, acquiring the number of people in the house, and marking the number of people in the house as RS;
step three, acquiring the difference between the real-time temperature outside the house and the real-time temperature inside the house, and marking the difference between the real-time temperature outside the house and the real-time temperature inside the house as WC;
step four, passing through a formulaAcquiring an analysis coefficient CF of a house, wherein c1, c2 and c3 are all preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0248963;
step five, comparing the analysis coefficient CF of the house with an analysis coefficient threshold value:
if the analysis coefficient CF of the house is larger than or equal to the analysis coefficient threshold value, judging that the house needs to be heated, generating a heating signal and sending the heating signal to a cloud control platform, and the cloud control platform receives the heating signal and heats the floor in the house;
and if the analysis coefficient CF of the house is less than the analysis coefficient threshold value, judging that the house does not need to be heated, generating a heating-free signal and sending the heating-free signal to the cloud control platform, and the cloud control platform receives the heating-free signal and sends the heating-free signal to the mobile phone terminal of the user in a short message mode.
Further, the dividing unit is configured to analyze daily information to divide areas in the house, where the daily information includes an average number of active people in each area and an interaction frequency of a user, and the specific analysis and division process is as follows:
s1: dividing the floor in a house into areas, and marking each divided area as i, i-1, 2. Acquiring the interaction frequency of the average number of active people and users in each area, and respectively marking the average number of active people and the interaction frequency of the users in each area as Si and Pi;
s2: comparing the average number of active persons Si and the interaction frequency Pi of the users of each area with L1 and L2, respectively, wherein L1 is an average number of active persons threshold, and L2 is a user interaction frequency threshold:
if the average number of active people Si of each area is more than or equal to L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a primary heating area;
if the average number of active people Si in each area is more than or equal to L1 and the interaction frequency Pi of the user is less than L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is less than L2, marking the area as a three-level heating area;
s3: heating and sequencing are carried out on each area, the heating sequence of each area is sequenced according to the sequence of the heating area grades from small to large, each sequenced area is sent to a mobile phone terminal of a user, the user carries out sequence exchange through the mobile phone terminal, and each exchanged area is sent to a database for storage.
Further, the detection unit is configured to analyze heating data and detect a heating system, where the heating data includes a minimum time required to heat a floor, a maximum temperature in a floor heating process, and a duration of the floor heating, and the specific analysis and detection process includes:
SS 1: acquiring the minimum time required for heating the floor, and marking the minimum time required for heating the floor as DS;
SS 2: acquiring the highest temperature in the floor heating process, and marking the highest temperature in the floor heating process as ZT;
SS 3: acquiring the duration of heating the floor, and marking the duration of heating the floor as TC;
SS 4: by the formulaAcquiring a detection coefficient JC of a heating system, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is larger than s2 and s3 is larger than 0;
SS 5: comparing a detection coefficient JC of the heating system with a detection coefficient threshold value:
if the detection coefficient JC of the heating system is larger than or equal to the detection coefficient threshold value, judging that the heating system is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a user;
and if the detection coefficient JC of the heating system is less than the detection coefficient threshold value, judging that the heating system is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a maintenance worker.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, a user carries out remote control through a remote control unit, sends a heating signal through a mobile phone terminal, sets the time for starting heating, and then sends the heating signal and the heating time to a cloud control platform; the cloud control platform receives the heating signal, acquires a heating sequence in the database, heats according to the heating sequence in the database, and automatically closes according to the heating time set by a user; if the user does not set the closing time and the heating time exceeds the set threshold, generating a closing signal and sending the closing signal to the mobile phone terminal of the user, and after the time threshold t, if the user does not send a heating finishing signal through the mobile phone terminal, sending the closing signal to the mobile phone terminal of the user in a voice mode; the intelligent heating system is controlled through the mobile phone terminal, so that the intelligence of the heating system is improved, the working efficiency is improved, and the use quality of a user is improved;
2. according to the invention, daily information is analyzed through a dividing unit, so that the interior of a house is divided into areas, the floor in the house is divided into areas, the average number of people moving in each area and the interaction frequency of users are obtained, the average number of people moving in each area Si and the interaction frequency Pi of the users are respectively compared with L1 and L2, each area is divided into grades, then heating sequencing is carried out on each area, the heating sequence of each area is sequenced according to the sequence of the heating area grades from small to large, each sequenced area is sent to a mobile phone terminal of the user, the user is sequentially exchanged through the mobile phone terminal, and each exchanged area is sent to a database for storage; the floor of the house is divided into areas, unnecessary resource waste is reduced while the house is heated, and the practicability of the heating system is improved.
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.
Referring to fig. 1, a remote control floor heating system includes a data acquisition unit, a detection unit, a division unit, a remote control unit, a cloud control platform, a registration unit, and a database;
the registration login unit is used for submitting user information and maintenance personnel information for registration through mobile phone terminals by a user and maintenance personnel, and sending the user information and the maintenance personnel information which are successfully registered to the database for storage, wherein the user information is the name, age, family members and the mobile phone number of personal real name authentication, and the maintenance personnel information is the name, age, time of entry and the mobile phone number of personal real name authentication of the maintenance personnel;
the data acquisition unit is used for gathering house information to carry out the analysis to house information, house information is temperature data, number data and difference in temperature data, and temperature data is the sum of the average temperature of the whole day outside the house and the average temperature of the whole day in the house, and the number data is the number in the house, and the difference in temperature data is the difference of the real-time temperature outside the house and the real-time temperature in the house, and concrete collection analytic process is as follows:
step one, acquiring the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house, and marking the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house as WD;
step two, acquiring the number of people in the house, and marking the number of people in the house as RS;
step three, acquiring the difference between the real-time temperature outside the house and the real-time temperature inside the house, and marking the difference between the real-time temperature outside the house and the real-time temperature inside the house as WC;
step four, passing through a formulaAcquiring an analysis coefficient CF of a house, wherein c1, c2 and c3 are all preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0248963;
step five, comparing the analysis coefficient CF of the house with an analysis coefficient threshold value:
if the analysis coefficient CF of the house is larger than or equal to the analysis coefficient threshold value, judging that the house needs to be heated, generating a heating signal and sending the heating signal to a cloud control platform, and the cloud control platform receives the heating signal and heats the floor in the house;
if the analysis coefficient CF of the house is smaller than the analysis coefficient threshold value, judging that the house does not need to be heated, generating a heating-free signal and sending the heating-free signal to the cloud control platform, and sending the heating-free signal to the mobile phone terminal of the user in a short message form after the cloud control platform receives the heating-free signal;
the dividing unit is used for analyzing daily information so as to divide areas in the house, the daily information comprises the average number of active people in each area and the interaction frequency of users, and the specific analyzing and dividing process is as follows:
s1: dividing the floor in a house into areas, and marking each divided area as i, i-1, 2. Acquiring the interaction frequency of the average number of active people and users in each area, and respectively marking the average number of active people and the interaction frequency of the users in each area as Si and Pi;
s2: comparing the average number of active persons Si and the interaction frequency Pi of the users of each area with L1 and L2, respectively, wherein L1 is an average number of active persons threshold, and L2 is a user interaction frequency threshold:
if the average number of active people Si of each area is more than or equal to L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a primary heating area;
if the average number of active people Si in each area is more than or equal to L1 and the interaction frequency Pi of the user is less than L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is less than L2, marking the area as a three-level heating area;
s3: heating and sequencing each region, sequencing the heating sequence of each region according to the sequence of the heating region grades from small to large, sending each sequenced region to a mobile phone terminal of a user, and sequentially exchanging the heating sequence of each region by the mobile phone terminal of the user and sending each exchanged region to a database for storage;
the detection unit is used for analyzing heating data and detecting a heating system, the heating data comprises the minimum time required by heating a floor, the maximum temperature in the floor heating process and the duration of the floor heating, and the specific analysis and detection process comprises the following steps:
SS 1: acquiring the minimum time required for heating the floor, and marking the minimum time required for heating the floor as DS;
SS 2: acquiring the highest temperature in the floor heating process, and marking the highest temperature in the floor heating process as ZT;
SS 3: acquiring the duration of heating the floor, and marking the duration of heating the floor as TC;
SS 4: by the formulaAcquiring a detection coefficient JC of a heating system, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is larger than s2 and s3 is larger than 0;
SS 5: comparing a detection coefficient JC of the heating system with a detection coefficient threshold value:
if the detection coefficient JC of the heating system is larger than or equal to the detection coefficient threshold value, judging that the heating system is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a user;
if the detection coefficient JC of the heating system is less than the detection coefficient threshold value, judging that the heating system is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a maintenance worker;
the remote control unit is used for the user to carry out remote control through the mobile phone terminal, and the specific process is as follows:
l1: a user sends a heating signal through a mobile phone terminal, sets the time for starting heating, and then sends the heating signal and the heating time to a cloud control platform;
l2: the cloud control platform receives the heating signal, acquires a heating sequence in the database, heats according to the heating sequence in the database, and automatically closes according to the heating time set by a user;
l3: if the user does not set the closing time and the heating time exceeds the set threshold, generating a closing signal and sending the closing signal to the mobile phone terminal of the user, and after the time threshold t, if the user does not send the heating ending signal through the mobile phone terminal, sending the closing signal to the mobile phone terminal of the user in a voice mode.
The working principle of the invention is as follows:
a remote control floor heating system, at work, the user carries out remote control through a remote control unit, and the specific process is as follows: a user sends a heating signal through a mobile phone terminal, sets the time for starting heating, and then sends the heating signal and the heating time to a cloud control platform; the cloud control platform receives the heating signal, acquires a heating sequence in the database, heats according to the heating sequence in the database, and automatically closes according to the heating time set by a user; if the user does not set the closing time and the heating time exceeds the set threshold, generating a closing signal and sending the closing signal to the mobile phone terminal of the user, and after the time threshold t, if the user does not send the heating ending signal through the mobile phone terminal, sending the closing signal to the mobile phone terminal of the user in a voice mode.
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 (5)
1. A remote control floor heating system is characterized by comprising a data acquisition unit, a detection unit, a division unit, a remote control unit, a cloud control platform, a registration unit and a database;
the remote control unit is used for the user to carry out remote control through the mobile phone terminal, and the specific process is as follows:
l1: a user sends a heating signal through a mobile phone terminal, sets the time for starting heating, and then sends the heating signal and the heating time to a cloud control platform;
l2: the cloud control platform receives the heating signal, acquires a heating sequence in the database, heats according to the heating sequence in the database, and automatically closes according to the heating time set by a user;
l3: if the user does not set the closing time and the heating time exceeds the set threshold, generating a closing signal and sending the closing signal to the mobile phone terminal of the user, and after the time threshold t, if the user does not send the heating ending signal through the mobile phone terminal, sending the closing signal to the mobile phone terminal of the user in a voice mode.
2. The remote-control floor heating system according to claim 1, wherein the registration login unit is configured to allow the user and the maintenance person to submit user information and maintenance person information via the mobile phone terminal for registration, and send the user information and the maintenance person information that are successfully registered to the database for storage, the user information includes a name, an age, a family member, and a mobile phone number for authenticating the real name of the user, and the maintenance person information includes a name, an age, an attendance time, and a mobile phone number for authenticating the real name of the user.
3. The remote control floor heating system according to claim 1, wherein the data acquisition unit is configured to acquire and analyze the house information, the house information is temperature data, number of people data, and temperature difference data, the temperature data is a sum of an average temperature of the house over the whole day and an average temperature of the house over the whole day, the number of people data is a number of people in the house, the temperature difference data is a difference between a real-time temperature of the house over the whole day and a real-time temperature of the house, and the specific acquisition and analysis processes are as follows:
step one, acquiring the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house, and marking the sum of the average temperature of the whole day outside the house and the average temperature of the whole day inside the house as WD;
step two, acquiring the number of people in the house, and marking the number of people in the house as RS;
step three, acquiring the difference between the real-time temperature outside the house and the real-time temperature inside the house, and marking the difference between the real-time temperature outside the house and the real-time temperature inside the house as WC;
step four, passing through a formulaAcquiring an analysis coefficient CF of a house, wherein c1, c2 and c3 are all preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0248963;
step five, comparing the analysis coefficient CF of the house with an analysis coefficient threshold value:
if the analysis coefficient CF of the house is larger than or equal to the analysis coefficient threshold value, judging that the house needs to be heated, generating a heating signal and sending the heating signal to a cloud control platform, and the cloud control platform receives the heating signal and heats the floor in the house;
and if the analysis coefficient CF of the house is less than the analysis coefficient threshold value, judging that the house does not need to be heated, generating a heating-free signal and sending the heating-free signal to the cloud control platform, and the cloud control platform receives the heating-free signal and sends the heating-free signal to the mobile phone terminal of the user in a short message mode.
4. The remote-control floor heating system according to claim 1, wherein the dividing unit is configured to analyze daily information to divide the area of the house, the daily information includes the average number of active people in each area and the interaction frequency of the user, and the analyzing and dividing process is as follows:
s1: dividing the floor in a house into areas, and marking each divided area as i, i-1, 2. Acquiring the interaction frequency of the average number of active people and users in each area, and respectively marking the average number of active people and the interaction frequency of the users in each area as Si and Pi;
s2: comparing the average number of active persons Si and the interaction frequency Pi of the users of each area with L1 and L2, respectively, wherein L1 is an average number of active persons threshold, and L2 is a user interaction frequency threshold:
if the average number of active people Si of each area is more than or equal to L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a primary heating area;
if the average number of active people Si in each area is more than or equal to L1 and the interaction frequency Pi of the user is less than L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is more than or equal to L2, marking the area as a secondary heating area;
if the average number of active people Si of each area is less than L1 and the interaction frequency Pi of the user is less than L2, marking the area as a three-level heating area;
s3: heating and sequencing are carried out on each area, the heating sequence of each area is sequenced according to the sequence of the heating area grades from small to large, each sequenced area is sent to a mobile phone terminal of a user, the user carries out sequence exchange through the mobile phone terminal, and each exchanged area is sent to a database for storage.
5. The remote control floor heating system according to claim 1, wherein the detection unit is configured to analyze heating data, detect the heating system, and analyze the heating data including a minimum time required to heat the floor, a maximum temperature during the floor heating process, and a duration of the floor heating process according to the following steps:
SS 1: acquiring the minimum time required for heating the floor, and marking the minimum time required for heating the floor as DS;
SS 2: acquiring the highest temperature in the floor heating process, and marking the highest temperature in the floor heating process as ZT;
SS 3: acquiring the duration of heating the floor, and marking the duration of heating the floor as TC;
SS 4: by the formulaAcquiring a detection coefficient JC of a heating system, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is larger than s2 and s3 is larger than 0;
SS 5: comparing a detection coefficient JC of the heating system with a detection coefficient threshold value:
if the detection coefficient JC of the heating system is larger than or equal to the detection coefficient threshold value, judging that the heating system is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a user;
and if the detection coefficient JC of the heating system is less than the detection coefficient threshold value, judging that the heating system is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a maintenance worker.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011288807.1A CN112413718A (en) | 2020-11-17 | 2020-11-17 | Remote control floor heating system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011288807.1A CN112413718A (en) | 2020-11-17 | 2020-11-17 | Remote control floor heating system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112413718A true CN112413718A (en) | 2021-02-26 |
Family
ID=74831944
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011288807.1A Pending CN112413718A (en) | 2020-11-17 | 2020-11-17 | Remote control floor heating system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112413718A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113531641A (en) * | 2021-08-17 | 2021-10-22 | 安徽卫家健康科技有限公司 | Sauna room carbon crystal heating plate management and control system based on big data platform |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000081219A (en) * | 1998-09-04 | 2000-03-21 | Yamatake Corp | Control method of regenerative electric floor heating system |
JP2004020008A (en) * | 2002-06-14 | 2004-01-22 | Sanyo Electric Co Ltd | Hot water floor heating device |
JP2006057987A (en) * | 2004-07-23 | 2006-03-02 | Noritz Corp | Hot-water heating system |
JP2010133669A (en) * | 2008-12-08 | 2010-06-17 | Fujitsu General Ltd | Floor heating device |
CN106051910A (en) * | 2016-07-06 | 2016-10-26 | 珠海格力电器股份有限公司 | Floor heating control device, floor heating system and control method thereof |
CN106705208A (en) * | 2016-12-06 | 2017-05-24 | 青岛新韩友工贸有限公司 | Intelligent remote APP control heating system |
CN109974079A (en) * | 2019-03-27 | 2019-07-05 | 张同庆 | A kind of building HVAC intelligence control system |
CN110701741A (en) * | 2019-10-10 | 2020-01-17 | 珠海格力电器股份有限公司 | Air conditioning unit regulating and controlling method and air conditioning unit |
CN110906436A (en) * | 2019-12-16 | 2020-03-24 | 珠海格力电器股份有限公司 | Modular heating system and control method thereof |
CN111678196A (en) * | 2020-05-13 | 2020-09-18 | 北京嘉洁能科技股份有限公司 | Heating control system based on human body movement detection |
-
2020
- 2020-11-17 CN CN202011288807.1A patent/CN112413718A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000081219A (en) * | 1998-09-04 | 2000-03-21 | Yamatake Corp | Control method of regenerative electric floor heating system |
JP2004020008A (en) * | 2002-06-14 | 2004-01-22 | Sanyo Electric Co Ltd | Hot water floor heating device |
JP2006057987A (en) * | 2004-07-23 | 2006-03-02 | Noritz Corp | Hot-water heating system |
JP2010133669A (en) * | 2008-12-08 | 2010-06-17 | Fujitsu General Ltd | Floor heating device |
CN106051910A (en) * | 2016-07-06 | 2016-10-26 | 珠海格力电器股份有限公司 | Floor heating control device, floor heating system and control method thereof |
CN106705208A (en) * | 2016-12-06 | 2017-05-24 | 青岛新韩友工贸有限公司 | Intelligent remote APP control heating system |
CN109974079A (en) * | 2019-03-27 | 2019-07-05 | 张同庆 | A kind of building HVAC intelligence control system |
CN110701741A (en) * | 2019-10-10 | 2020-01-17 | 珠海格力电器股份有限公司 | Air conditioning unit regulating and controlling method and air conditioning unit |
CN110906436A (en) * | 2019-12-16 | 2020-03-24 | 珠海格力电器股份有限公司 | Modular heating system and control method thereof |
CN111678196A (en) * | 2020-05-13 | 2020-09-18 | 北京嘉洁能科技股份有限公司 | Heating control system based on human body movement detection |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113531641A (en) * | 2021-08-17 | 2021-10-22 | 安徽卫家健康科技有限公司 | Sauna room carbon crystal heating plate management and control system based on big data platform |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2023040575A1 (en) | Internet-of-things-based abnormality early warning analysis system and method for special operation site | |
CN109489212B (en) | Intelligent sleep control method, adjustment system and equipment for air conditioner | |
CN115220351A (en) | Intelligent energy-saving optimization control method of building air conditioning system based on cloud side end | |
CN104346451A (en) | Situation awareness system based on user feedback, as well as operating method and application thereof | |
CN109903446A (en) | A kind of smart lock long-distance video exchange method | |
CN108298397A (en) | A kind of elevator maintenance monitoring method and supervising platform based on elevator Internet of Things | |
CN106954246A (en) | A kind of cloud application smart home with domestic electric network intelligent control function | |
CN111930733A (en) | Industrial equipment big data storage system based on monitoring of Internet of things | |
CN115087143A (en) | AIoT measurement and control edge gateway based on embedded system | |
CN112413718A (en) | Remote control floor heating system | |
CN111932761A (en) | Intelligent access control system based on block chain | |
CN109309688A (en) | New energy power station progress control method based on cloud monitoring and Data Encryption Transmission | |
CN111405236A (en) | Video conference big data analysis method and system | |
CN117319809B (en) | Intelligent adjusting method for monitoring visual field | |
CN113689612A (en) | Hotel room intelligent management device and use method thereof | |
CN109818831A (en) | A kind of system data dynamic monitoring device and method across private network based on DMZ | |
CN112228951A (en) | Edge analysis control method and regional cooling and heating control system | |
CN110166330A (en) | A kind of smart home device matches combination control method | |
CN117455724A (en) | Building energy consumption analysis method and system based on multistage network nodes | |
CN117217478A (en) | Building energy consumption optimization method and system based on multi-objective optimization model | |
TWM646272U (en) | Automatic starting device for fresh air blower | |
CN103324185A (en) | Home security monitoring system and monitoring control method | |
CN114360035B (en) | Face recognition system based on big data analysis | |
CN206179032U (en) | Intelligent door access control system | |
CN105741187A (en) | Living resource consumption data processing method and device, and living resource consumption monitoring method and device |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210226 |