CN114838467A - Intelligent control method and system based on robot - Google Patents
Intelligent control method and system based on robot Download PDFInfo
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- CN114838467A CN114838467A CN202210390060.3A CN202210390060A CN114838467A CN 114838467 A CN114838467 A CN 114838467A CN 202210390060 A CN202210390060 A CN 202210390060A CN 114838467 A CN114838467 A CN 114838467A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 238000012806 monitoring device Methods 0.000 claims abstract description 20
- 230000001954 sterilising effect Effects 0.000 claims abstract description 12
- 239000002028 Biomass Substances 0.000 claims description 28
- 230000000813 microbial effect Effects 0.000 claims description 28
- 238000005457 optimization Methods 0.000 claims description 27
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 26
- 239000001301 oxygen Substances 0.000 claims description 26
- 229910052760 oxygen Inorganic materials 0.000 claims description 26
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 244000005700 microbiome Species 0.000 claims description 2
- 238000002679 ablation Methods 0.000 claims 4
- 238000004887 air purification Methods 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 206010052428 Wound Diseases 0.000 description 2
- 206010048038 Wound infection Diseases 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 238000005202 decontamination Methods 0.000 description 2
- 230000003588 decontaminative effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 239000005416 organic matter Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000008033 biological extinction Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000003905 indoor air pollution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000009967 tasteless effect Effects 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/40—Pressure, e.g. wind pressure
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/64—Airborne particle content
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
- F24F2110/76—Oxygen
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
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Abstract
The invention provides an intelligent control method and system based on a robot in the technical field of air purification, wherein the method comprises the following steps: step S10, the access server presets an air quality standard, and acquires the use schedule of each room from the HIS server; step S20, each air monitoring device uploads seven air indexes for monitoring each room in real time to an access server; step S30, the access server analyzes the seven air indexes based on the air quality standard to generate an air quality analysis result; step S40, the access server sends the using schedule and the air quality analysis result to the sterilizing robot; and step S50, the control robot optimizes the air quality of each room in sequence based on the received schedule and the air quality analysis result. The invention has the advantages that: the comprehensiveness and the timeliness of air quality monitoring adjustment are greatly improved, and the cost is greatly reduced.
Description
Technical Field
The invention relates to the technical field of air purification, in particular to an intelligent control method and system based on a robot.
Background
Air is a 'life gas' breathed by people every day, is layered on the earth surface, is transparent, colorless and tasteless, mainly comprises nitrogen and oxygen, and has important influence on the survival and production of human beings. Indoor air pollution is closely related to life quality and health of people, and especially in a medical scene, air quality is important, for example, a wound of a patient who is in operation is infected if the wound is exposed to air with substandard quality, and breathing is difficult if oxygen saturation amount is substandard, so that air indexes are necessary to be monitored, and further, air quality is optimized.
Although there are various air-related devices on the market, such as air conditioners, air purifiers, etc., there are disadvantages as follows: 1. the devices can only monitor and adjust a few air indexes, and the medical scene can not be met; 2. traditionally, one type of equipment needs to be installed in each room, and a floor comprises a plurality of rooms, so that the equipment is high in purchase cost; 3. the devices are not managed uniformly, and in a medical scene, the devices need to be manually started before an operation and the air quality is qualified, so that the operation timeliness is seriously influenced.
Therefore, how to provide an intelligent control method and system based on a robot to improve the comprehensiveness and timeliness of air quality monitoring and adjustment and reduce cost becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to provide an intelligent control method and system based on a robot, which can improve the comprehensiveness and timeliness of air quality monitoring and adjustment and reduce the cost.
In a first aspect, the present invention provides an intelligent control method based on a robot, including the following steps:
step S10, the access server presets an air quality standard and acquires the use schedule of each room from the HIS server;
step S20, each air monitoring device uploads seven air indexes for monitoring each room in real time to an access server;
step S30, the access server analyzes the seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the access server sends the using schedule and the air quality analysis result to the sterilizing robot;
and step S50, the control robot optimizes the air quality of each room in sequence based on the received schedule and the air quality analysis result.
Further, in the step S10, the air quality standard is specifically a qualified range of temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount, and pressure difference.
Further, the step S20 is specifically:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with the position data collected by the second positioner, the seven air indexes are uploaded to the access server in real time.
Further, the step S30 further includes:
the access server encrypts and archives the seven air indexes and the air quality analysis result; the air quality analysis result carries the position data of each air monitoring device.
Further, the step S50 is specifically:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server.
In a second aspect, the invention provides a robot-based intelligent elimination system, which comprises the following modules:
the air quality standard setting module is used for accessing the server to preset an air quality standard and acquiring a use schedule of each room from the HIS server;
the seven air index monitoring modules are used for uploading seven air indexes for monitoring each room in real time to the access server by each air monitoring device;
the air quality analysis result generation module is used for accessing the server to analyze the seven air indexes based on the air quality standard to generate an air quality analysis result;
the air quality analysis result sending module is used for accessing the server to send the using schedule and the air quality analysis result to the robot;
and the air quality optimization module is used for optimizing the air quality of each room in sequence by the robot based on the received schedule and the air quality analysis result.
Further, in the air quality standard setting module, the air quality standard is specifically a qualified range of temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount, and differential pressure.
Further, the seven air index monitoring modules specifically include:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with the position data collected by the second positioner, the seven air indexes are uploaded to the access server in real time.
Further, the air quality analysis result generation module further includes:
the access server encrypts and archives the seven air indexes and the air quality analysis result; the air quality analysis result carries the position data of each air monitoring device.
Further, the air quality optimization module specifically comprises:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server.
The invention has the advantages that:
1. the air monitoring equipment acquires the temperature, the humidity, the PM2.5, the TVOC, the oxygen saturation amount and the pressure difference of air through the sensor group, calculates the microbial biomass based on the PM2.5 and the TVOC, namely acquires and calculates seven air indexes including the temperature, the humidity, the PM2.5, the TVOC, the microbial biomass, the oxygen saturation amount and the pressure difference in real time, analyzes the seven air indexes based on the air quality standard set by the access server to generate an air quality analysis result, and controls the air quality of each room to be optimized by the control robot based on the air quality analysis result and the using schedule of each room acquired from the HIS server, namely, the air is optimized before each room is used without special waiting, and the control robot can flexibly move to each room to purify the air without being equipped with a control robot in each room, so that the comprehensiveness and timeliness of air quality monitoring adjustment are greatly improved finally, and greatly reduces the cost.
2. Seven air indexes, index collection time and the air quality analysis result carrying the position data are bound and then are stored in a server, so that the source tracing at the later stage is facilitated, for example, doctor-patient disputes occur in a certain time period at a certain position, a patient suspects that the air quality of a hospital does not reach the standard and then wound infection of the patient is caused, the source tracing can be performed by combining the position data, the seven air indexes and the index collection time, whether the control quality is qualified or not is judged, and the source tracing of air quality monitoring and adjustment is greatly improved.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
Fig. 1 is a flow chart of an intelligent robot-based control method according to the present invention.
Fig. 2 is a schematic structural diagram of an intelligent robot-based extinction system according to the invention.
Fig. 3 is a schematic block circuit diagram of an intelligent robot-based fire extinguishing apparatus according to the present invention.
Fig. 4 is a schematic block circuit diagram of the robot of the present invention.
FIG. 5 is a schematic block circuit diagram of the air monitoring device of the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: the air monitoring equipment uploads seven monitored air indexes to the access server, the access server analyzes the seven air indexes based on a set air quality standard to generate an air quality analysis result, and then the air quality analysis result and the schedule obtained from the HIS server for each room are used to control the sterilizing robot to optimize the air quality of each room, so that the comprehensiveness and timeliness of air quality monitoring and adjustment are improved, and the cost is reduced.
Referring to fig. 1 to 5, the present invention needs to use an intelligent robot-based decontamination apparatus, which includes an access server, an HIS server, at least one control terminal, a plurality of decontamination robots, a plurality of air monitoring apparatuses, and a plurality of air conditioners;
the HIS server, the control terminal, the sterilizing robot, the air monitoring equipment and the air conditioner are all connected with the access server;
the robot comprises a first singlechip, a first positioner, an air filter, a positive pressure fan, a negative pressure fan, a touch display screen, an intelligent trolley and a first wireless communication module;
the first positioner, the air filter, the positive pressure fan, the negative pressure fan, the touch display screen, the intelligent trolley and the first wireless communication module are all connected with the first single chip microcomputer; the first wireless communication module is connected with an access server;
the air monitoring equipment comprises a second singlechip, a second positioner, a second wireless communication module and a sensor group; the sensor group comprises a PM2.5 sensor, a TVOC sensor, an oxygen saturation sensor, a pressure difference sensor, a temperature sensor and a humidity sensor;
the second positioner, the second wireless communication module, the PM2.5 sensor, the TVOC sensor, the oxygen saturation sensor, the differential pressure sensor, the temperature sensor and the humidity sensor are all connected with the second single chip microcomputer; the second wireless communication module is connected with the access server.
The HIS server is a server operated by a hospital information system and is used for acquiring a use schedule of each room of the hospital, and further optimizing air of each room in advance so as to improve timeliness; the control terminal can be a mobile phone, a tablet, a computer smart watch, a smart television and other devices; the first single chip microcomputer is used for controlling the operation of the robot; the first positioner is used for positioning the current position of the control robot, and then the control robot is moved to a specific room through the intelligent trolley to perform air optimization; the air filter is used for reducing PM2.5 of air; the positive air compressor and the negative air compressor both have stepless regulation functions, and the outward blowing or inward air suction can be realized by adjusting the running power of the positive air compressor and the negative air compressor; the touch display screen is used for operating the robot and displaying seven air indexes; the air monitoring equipment is installed in each room to monitor seven air indexes.
The invention discloses a preferred embodiment of an intelligent control method based on a robot, which comprises the following steps:
step S10, the access server presets an air quality standard and acquires the use schedule of each room from the HIS server; the air quality standard is used for analyzing seven air indexes to judge whether the air quality reaches the standard or not; the using schedule is used for judging the time before which each room needs to optimize air, and then arranging the sterilizing robots to go to the corresponding rooms for air optimization, when one sterilizing robot cannot complete the air optimization task, a plurality of sterilizing robots can work cooperatively to improve the air optimization efficiency;
step S20, each air monitoring device uploads seven air indexes for monitoring each room in real time to an access server;
step S30, the access server analyzes the seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the access server sends the using schedule and the air quality analysis result to the sterilizing robot;
and step S50, the robot optimizes the air quality of each room in sequence based on the received schedule and the received air quality analysis result, namely when the seven air indexes have unqualified indexes, the robot executes optimization operation of corresponding indexes, namely calling an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality until the seven air indexes meet the air quality standard.
In step S10, the air quality criteria are specifically temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation, and pressure differential pass ranges.
The step S20 specifically includes:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with position data and index acquisition time acquired by the second positioner, the seven air indexes are uploaded to the access server in real time. The microbial biomass is characterized by superiority, goodness and inferiority, because the value of PM2.5 is in direct proportion to the microbial biomass, and TVOC is a chemical organic matter, the actual microbial biomass can be obtained by calculating the average values of PM2.5 and TVOC and then calculating the mapping function based on each average value and the microbial biomass.
The step S30 further includes:
the access server binds the seven air indexes, the index acquisition time and the air quality analysis result and then carries out encryption archiving; the air quality analysis result carries the position data of each air monitoring device. Through being right seven air index, index acquisition time, air quality analysis result and position data are filed, are convenient for the later stage to trace to the source and carry out responsibility affirmation and operation and maintenance, through encrypting the file, very big promotion data security.
The step S50 specifically includes:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server. Each of the robots stores a map containing each room in advance.
The invention discloses a preferred embodiment of an intelligent elimination control system based on a robot, which comprises the following modules:
the system comprises an air quality standard setting module, an HIS server and a plurality of rooms, wherein the air quality standard setting module is used for accessing the server to preset an air quality standard and acquiring a use schedule of each room from the HIS server; the air quality standard is used for analyzing seven air indexes to judge whether the air quality reaches the standard or not; the using schedule is used for judging the time before which each room needs to optimize air, and then arranging the sterilizing robots to go to the corresponding rooms for air optimization, when one sterilizing robot cannot complete the air optimization task, a plurality of sterilizing robots can work cooperatively to improve the air optimization efficiency;
the seven air index monitoring modules are used for uploading seven air indexes for monitoring each room in real time to the access server by each air monitoring device;
the air quality analysis result generation module is used for accessing the server to analyze the seven air indexes based on the air quality standard to generate an air quality analysis result;
the air quality analysis result sending module is used for accessing the server to send the using schedule and the air quality analysis result to the robot;
and the air quality optimization module is used for sequentially optimizing the air quality of each room by the robot based on the received schedule and the received air quality analysis result, namely when the seven air indexes have unqualified indexes, executing optimization operation of corresponding indexes, namely calling an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality until the seven air indexes meet the air quality standard.
In the air quality standard setting module, the air quality standard is specifically a qualified range of temperature, humidity, PM2.5, TVOC, microorganism amount, oxygen saturation amount and pressure difference.
The seven air index monitoring modules specifically comprise:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with position data and index acquisition time acquired by the second positioner, the seven air indexes are uploaded to the access server in real time. The microbial biomass is characterized by superiority, goodness and inferiority, because the value of PM2.5 is in direct proportion to the microbial biomass, and TVOC is a chemical organic matter, the actual microbial biomass can be obtained by calculating the average values of PM2.5 and TVOC and then calculating the mapping function based on each average value and the microbial biomass.
The air quality analysis result generation module further includes:
the access server binds the seven air indexes, the index acquisition time and the air quality analysis result and then carries out encryption archiving; the air quality analysis result carries the position data of each air monitoring device. Through being right seven air index, index acquisition time, air quality analysis result and position data are filed, are convenient for the later stage to trace to the source and carry out responsibility affirmation and operation and maintenance, through encrypting the file, very big promotion data security.
The air quality optimization module specifically comprises:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server. Each of the robots stores a map containing each room in advance.
In summary, the invention has the advantages that:
1. the air monitoring equipment acquires the temperature, the humidity, the PM2.5, the TVOC, the oxygen saturation amount and the pressure difference of air through the sensor group, calculates the microbial biomass based on the PM2.5 and the TVOC, namely acquires and calculates seven air indexes including the temperature, the humidity, the PM2.5, the TVOC, the microbial biomass, the oxygen saturation amount and the pressure difference in real time, analyzes the seven air indexes based on the air quality standard set by the access server to generate an air quality analysis result, and controls the air quality of each room to be optimized by the control robot based on the air quality analysis result and the using schedule of each room acquired from the HIS server, namely, the air is optimized before each room is used without special waiting, and the control robot can flexibly move to each room to purify the air without being equipped with a control robot in each room, so that the comprehensiveness and timeliness of air quality monitoring adjustment are greatly improved finally, and greatly reduces the cost.
2. Seven air indexes, index collection time and the air quality analysis result carrying the position data are bound and then are stored in a server, so that the source tracing at the later stage is facilitated, for example, doctor-patient disputes occur in a certain time period at a certain position, a patient suspects that the air quality of a hospital does not reach the standard and then wound infection of the patient is caused, the source tracing can be performed by combining the position data, the seven air indexes and the index collection time, whether the control quality is qualified or not is judged, and the source tracing of air quality monitoring and adjustment is greatly improved.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (10)
1. An intelligent control method based on a robot is characterized in that: the method comprises the following steps:
step S10, the access server presets an air quality standard and acquires the use schedule of each room from the HIS server;
step S20, each air monitoring device uploads seven air indexes for monitoring each room in real time to an access server;
step S30, the access server analyzes the seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the access server sends the using schedule and the air quality analysis result to the sterilizing robot;
and step S50, the control robot optimizes the air quality of each room in sequence based on the received schedule and the air quality analysis result.
2. The robot-based intelligent consumption method of claim 1, wherein: in step S10, the air quality criteria are specifically temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation, and pressure differential pass ranges.
3. The robot-based intelligent consumption method of claim 1, wherein: the step S20 specifically includes:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with the position data collected by the second positioner, the seven air indexes are uploaded to the access server in real time.
4. The robot-based intelligent consumption method of claim 1, wherein: the step S30 further includes:
the access server encrypts and archives the seven air indexes and the air quality analysis result; the air quality analysis result carries the position data of each air monitoring device.
5. The robot-based intelligent consumption method of claim 1, wherein: the step S50 specifically includes:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server.
6. The utility model provides an intelligence elimination system based on robot which characterized in that: the system comprises the following modules:
the air quality standard setting module is used for accessing the server to preset an air quality standard and acquiring a use schedule of each room from the HIS server;
the seven air index monitoring modules are used for uploading seven air indexes for monitoring each room in real time to the access server by each air monitoring device;
the air quality analysis result generation module is used for accessing the server to analyze the seven air indexes based on the air quality standard to generate an air quality analysis result;
the air quality analysis result sending module is used for accessing the server to send the using schedule and the air quality analysis result to the robot;
and the air quality optimization module is used for optimizing the air quality of each room in sequence by the robot based on the received schedule and the air quality analysis result.
7. The robot-based intelligent ablation system of claim 6, wherein: in the air quality standard setting module, the air quality standard is specifically a qualified range of temperature, humidity, PM2.5, TVOC, microorganism amount, oxygen saturation amount and pressure difference.
8. The robot-based intelligent ablation system of claim 6, wherein: the seven air index monitoring modules specifically comprise:
the second single chip microcomputer of each air monitoring device monitors temperature, humidity, PM2.5, TVOC, oxygen saturation amount and pressure difference in real time through the sensor group, calculates the microbial biomass based on PM2.5 and TVOC, and after seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference are bound with the position data collected by the second positioner, the seven air indexes are uploaded to the access server in real time.
9. The robot-based intelligent ablation system of claim 6, wherein: the air quality analysis result generation module further includes:
the access server encrypts and archives the seven air indexes and the air quality analysis result; the air quality analysis result carries the position data of each air monitoring device.
10. The robot-based intelligent ablation system of claim 6, wherein: the air quality optimization module specifically comprises:
and each of the control robots receives the schedule and the air quality analysis result, analyzes the optimization priority of each room based on the schedule and the air quality analysis result, cooperatively optimizes the air quality of each room by combining the optimization efficiency of each control robot until the access server monitors that the seven air indexes are qualified, and performs homing based on a homing instruction sent by the access server.
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