CN114877468A - Operating room air purification management system based on deep learning - Google Patents
Operating room air purification management system based on deep learning Download PDFInfo
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- CN114877468A CN114877468A CN202210592173.1A CN202210592173A CN114877468A CN 114877468 A CN114877468 A CN 114877468A CN 202210592173 A CN202210592173 A CN 202210592173A CN 114877468 A CN114877468 A CN 114877468A
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- 238000004887 air purification Methods 0.000 title claims abstract description 102
- 238000013135 deep learning Methods 0.000 title claims abstract description 25
- 238000012423 maintenance Methods 0.000 claims abstract description 83
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 230000000694 effects Effects 0.000 claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 15
- 238000004140 cleaning Methods 0.000 claims abstract description 10
- 238000007689 inspection Methods 0.000 claims description 41
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 9
- 239000002245 particle Substances 0.000 claims description 6
- 210000000707 wrist Anatomy 0.000 claims description 6
- 239000000428 dust Substances 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 230000000875 corresponding effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 230000008439 repair process Effects 0.000 description 3
- 230000003749 cleanliness Effects 0.000 description 2
- 238000005485 electric heating Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000001580 bacterial effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 230000003068 static 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
- F24F8/00—Treatment, e.g. purification, of air supplied to human living or working spaces otherwise than by heating, cooling, humidifying or drying
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—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
- F24F11/50—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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- 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)
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- General Engineering & Computer Science (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to the technical field of operating room clean air management systems, and discloses an operating room air purification management system based on deep learning, which comprises a control system, a plurality of sensors, a radio frequency communication system, a Web server, a user terminal APP, an air purification equipment daily operation and maintenance management system and an operating room detection system; the Web server is connected with the control system, the radio frequency communication system, the user terminal APP, the daily operation and maintenance management system of the air purification equipment and the detection system in the operating room. The hidden danger problem of the air purification equipment is predicted in advance and processed in time through deep learning, intelligent management is achieved, and the influence of emergency on operation is avoided; the AI intelligent camera is used for deeply learning and identifying conventional cleaning activities or detection activities performed in the operating room, the activity information is transmitted to the Web server, the operation information is automatically uploaded, the trouble of filling the operation information in paper can be avoided, and the effectiveness of supervision is ensured.
Description
Technical Field
The invention belongs to the technical field of operating room clean air management systems, and relates to an operating room air purification management system based on deep learning.
Background
The operating room has very high requirements on air quality, so an air purification system is generally arranged in the operating room, and the air quality of the operating room is strictly controlled by the air purification system. The air purification system is a relatively advanced air purification method, and the bacterial colony concentration in the operation room is diluted by the high-efficiency filtered clean air flow, so that a clean sterile environment is realized, and good benefits are provided for developing complex operations and reducing the infection rate. In practical use, the following problems are found in the existing operating room management measures because the requirements of the operating room on the air quality are particularly strict: 1) the air purification equipment is more, the equipment room environment is complex, the patrol period is long, and the efficiency is low; 2) manual inspection is mostly adopted, so that the labor cost is too high; 3) the edges and corners in the equipment room are easy to cause the injury of workers; 4) the system is not provided with an intelligent repair reporting system, the repair reporting reaction time is long, and the maintenance delay is easy to cause; 5) the intelligent monitoring system and the data recording system are not available, and the supervision requirements of the health department on the air purification system of the medical institution cannot be met; 6) equipment failure can not be found in advance, and once a halt failure occurs suddenly, certain influence can be caused on the operation.
Disclosure of Invention
The invention aims to provide an operating room air purification management system based on deep learning, which can intelligently identify hidden danger problems through the deep learning and process the hidden danger problems in time, improve the inspection efficiency and ensure the effectiveness of supervision.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an operating room air purification management system based on deep learning, which comprises a control system, a plurality of sensors, a radio frequency communication system, a Web server, a user terminal APP, an air purification equipment daily operation and maintenance management system and an operating room detection system, wherein the control system comprises a control system, a plurality of sensors, a radio frequency communication system, a Web server, a user terminal APP, an air purification equipment daily operation and maintenance management system and an operating room detection system;
the Web server is connected with the control system, the radio frequency communication system, the user terminal APP, the air purification equipment daily operation and maintenance management system and the operating room detection system;
the plurality of sensors are connected with a control system, the control system regulates the operation of the air purification equipment according to the monitoring data of the plurality of sensors and transmits the operation data of the air purification equipment to the Web server;
the daily operation and maintenance management system of the air purification equipment comprises an air purification equipment daily maintenance module and an air purification equipment daily inspection module;
the daily maintenance module of the air purification equipment is used for receiving a maintenance suggestion list sent by the Web server and recording maintenance information of workers;
the radio frequency communication system comprises a radio frequency identification electronic tag adhered to the air purification equipment, a wrist type Bluetooth radio frequency identifier worn by a worker and matched with the radio frequency electronic tag, and a radio frequency receiver connected with the Web server, so that maintenance information recorded by the daily maintenance module of the air purification equipment is transmitted to the Web server;
the daily inspection module of the air purification equipment comprises an intelligent inspection module, and the intelligent inspection module is used for the Web server to perform deep learning according to the received operation data of the air purification equipment and the maintenance information of the daily maintenance module of the air purification equipment, obtain the air purification equipment which needs to be maintained or has abnormity, and send out a maintenance suggestion list;
the operating room detection system comprises an operating room operation AI identification module, an operating room operation data recording module and an operating room automatic monitoring processing module;
the operating room AI identification module is used for identifying the conventional cleaning activities or detection activities of workers in the operating room through deep learning by an AI intelligent camera arranged in the operating room and transmitting the activity information to a Web server;
the operating room operation data recording module is used for recording operating room operation information submitted by workers;
the operating room automatic monitoring processing module is used for judging whether the concentration of dust particles in the operating room regularly monitored by the laser particle online monitor arranged in the operating room meets the requirement, if so, the data is uploaded to the Web server, and if not, a maintenance advice list is sent.
In one technical scheme, the plurality of sensors comprise a temperature and humidity sensor, a primary filtering differential pressure sensor, a secondary filtering differential pressure sensor, a water inlet and outlet temperature sensor, a water inlet and outlet differential pressure sensor, an over-temperature sensor and an over-water level alarm sensor.
In a technical scheme, the module is patrolled and examined in daily air purification equipment still includes the manual work and patrols and examines the module, the manual work is patrolled and examined the module and is used for the staff to scan every air purification equipment's two-dimensional code through user terminal APP and fill in this air purification equipment's daily project and daily result of patrolling and examining.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an operating room air purification management system based on deep learning, aiming at complex environments of more air purification equipment and equipment rooms, wherein the operation processing of the air purification equipment and the operation processing of an operating room are independently carried out, the daily operation and maintenance management system of the air purification equipment is connected with a Web server through a radio frequency communication system, and a detection system in the operating room is connected with the Web server through a network communication module, and the detection system and the Web server are not interfered with each other. The intelligent management system comprises an air purification device, an air purification device daily maintenance module, an intelligent inspection module, a Web server and a maintenance recommendation module, wherein the air purification device daily maintenance module is used for receiving a maintenance recommendation sent by the Web server and recording maintenance information of workers; the daily inspection module of the air purification equipment is also provided with the manual inspection module, and the manual inspection module is used for enabling a worker to scan the two-dimensional code of each air purification equipment through the user terminal APP to fill in the daily inspection items and the daily inspection results of the air purification equipment, so that the inspection efficiency is improved, and the effectiveness of supervision is guaranteed. The invention operates in the operating room, carries out deep learning and intelligent recognition of the conventional cleaning activities or detection activities carried out in the operating room through the AI intelligent camera, transmits the activity information to the Web server, automatically uploads the operation information, can avoid the trouble of filling in the operation information by paper, and ensures the effectiveness of supervision.
Drawings
Fig. 1 is a schematic block diagram of an operating room air purification management system based on deep learning according to the present invention.
Fig. 2 is a schematic structural diagram of the daily operation and maintenance management system of the air purification device of the present invention.
Fig. 3 is a schematic structural diagram of the detection system in the operating room of the present invention.
Fig. 4 is a second schematic structural diagram of the daily operation and maintenance management system of the air purification apparatus of the present invention.
The reference numbers in the drawings: the system comprises an air purification equipment daily operation and maintenance management system 1, an air purification equipment daily maintenance module 101, an air purification equipment daily inspection module 102, an intelligent inspection module 1011, a manual inspection module 1012, an operating room detection system 2, an operating room operation AI identification module 201, an operating room operation data recording module 202 and an operating room automatic monitoring and processing module 203.
Detailed Description
The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention. Unless otherwise specified, the technical means used in the examples are conventional means well known to those skilled in the art.
Example one
As shown in fig. 1, the operating room air purification management system based on deep learning of the present invention includes a control system, a plurality of sensors, a radio frequency communication system, a Web server, a user terminal APP, an air purification device daily operation and maintenance management system 1, and an operating room detection system 2. The Web server is connected with the control system, the radio frequency communication system, the user terminal APP, the daily operation and maintenance management system 1 of the air purification equipment and the detection system 2 in the operating room.
The air purification equipment is common equipment of a common air purification system, and generally comprises a fresh air unit, a circulating unit, a primary filter screen, a secondary filter screen, a radiator, a humidifying component, an electric heating component, a heat exchange coil and the like, wherein a temperature and humidity sensor is installed at a return air inlet, a primary filter differential pressure sensor is installed on the primary filter screen, a secondary filter differential pressure sensor is installed on the secondary filter screen, a water inlet temperature sensor and a water inlet differential pressure sensor are installed at a water inlet of the heat exchange coil, a water outlet temperature sensor and a water outlet differential pressure sensor are installed at a water outlet of the heat exchange coil, an over-temperature sensor is installed on the electric heating component, and an over-water level alarm sensor is installed on a water receiving tray. The sensor is connected with the control system through a signal cable, the control system is connected with the Web server through an RS485 network communication protocol, and the control system regulates the operation of the air purification equipment according to the monitoring data of the sensor and transmits the operation data of the air purification equipment to the Web server.
As shown in fig. 2, the air purification equipment daily operation and maintenance management system 1 of the present invention includes an air purification equipment daily maintenance module 101 and an air purification equipment daily inspection module 102.
The daily maintenance module 101 of the air purification equipment is used for receiving a maintenance suggestion list sent by the Web server and recording maintenance information of workers.
The air purification equipment daily inspection module 102 comprises an air purification equipment daily inspection module 101 and an intelligent inspection module 1011, wherein the intelligent inspection module 1011 is used for deep learning of a Web server according to received information of the air purification equipment daily maintenance module, obtaining air purification equipment needing maintenance or having abnormity, and sending a maintenance advice list. The Web server carries out periodic (such as setting for a week) deep learning according to the received operation data of the air purification equipment and the maintenance information of the daily maintenance module 101 of the air purification equipment, automatically judges faults, sends a maintenance suggestion list to the daily maintenance module 101 of the air purification equipment, sends the maintenance suggestion list to a corresponding engineer, opens a link to check a project to be maintained, and fills in and uploads related maintenance information after maintenance is completed.
The radio frequency communication system comprises a radio frequency identification electronic tag pasted on the air purification equipment, a wrist type Bluetooth radio frequency identifier worn by a worker and matched with the radio frequency electronic tag, and a radio frequency receiver connected with the Web server, so that the maintenance information recorded by the daily maintenance module 101 of the air purification equipment is transmitted to the Web server. For static equipment, the RFID radio frequency tracking technology is adopted, and the uploading function of maintenance information is realized. Specifically, a radio frequency electronic tag is attached to an air purification component to be maintained or replaced, such as a fresh air inlet filter screen tag, a primary filter screen tag, a medium efficiency filter screen tag, a high efficiency filter screen tag, a fan tag, a radiator fan tag, a control system dust removal tag, an electrical safety inspection tag, a humidifier maintenance tag and the like, and a worker wears a wrist type bluetooth radio frequency identifier, and if the worker replaces the primary filter screen, the wrist type bluetooth radio frequency identifier is matched with the primary filter screen tag close to the wrist type bluetooth radio frequency identifier in distance, the operation aiming at the primary filter screen is identified as a daily maintenance behavior and recorded in the daily maintenance module 101 of the air purification equipment, and the operation record is transmitted to a Web server through a radio frequency receiver.
As shown in fig. 3, the operating room detection system 2 of the present invention includes an operating room operation AI identification module 201, an operating room operation data recording module 202, and an operating room automatic monitoring processing module 203.
The operating room AI identification module 201 is used for identifying the routine cleaning activities or detection activities of workers in the operating room through deep learning by an AI intelligent camera installed in the operating room, and transmitting the activity information to a Web server.
The operating room operation data recording module 202 is used for recording operating room operation information submitted by a worker.
The invention installs an AI intelligent camera in an operating room, identifies routine cleaning activities such as return air net cleaning, shadowless lamp and tower crane cleaning, indoor floor and wall cleaning and the like of workers in the operating room and air cleanliness detection activities in the operating room by a deep learning image identification technology, and transmits corresponding action information (such as operation type, operation starting time, ending time, operating room number, cleaning result, air cleanliness detection starting time and ending time) to a Web server. Carry out intelligent recognition earlier like this, automatic upload operation information, upload the interlinkage with the operation data again and send for corresponding staff, can avoid the trouble that the operation information was filled in to the paper, realized intelligent management, guaranteed the validity of supervision. It is worth to be noted that the AI intelligent camera currently on the market has a deep learning function, and for an application scene in an operating room, development software for a special scene in the operating room needs to be developed, a conventional clean moving picture and a detection moving picture in the operating room are led in advance, and the purpose of subsequently recognizing motion information can be achieved by comparing the motion of an operator with the led-in motion picture during recognition.
The operating room automatic monitoring processing module 203 is used for judging whether the concentration of dust particles in the operating room regularly monitored by the laser particle on-line monitor arranged in the operating room meets the requirement, if so, the data is uploaded to the Web server, and if not, a maintenance advice list is sent. And the Web server sends the maintenance suggestion single chain to a corresponding engineer, the engineer opens the link to check the project to be maintained, and after the maintenance is completed, relevant maintenance information is filled and uploaded.
The Web server has a user display interface, can search corresponding maintenance records by searching key words such as the number, month, year and the like of the air purification equipment, and can print the maintenance records.
Example two
As shown in fig. 4, the present embodiment is substantially the same as the first embodiment, except that: the air purification equipment daily inspection module 102 comprises a manual inspection module 1012, wherein the manual inspection module 1012 is used for a worker to scan the two-dimensional code of each air purification equipment through a user terminal APP to fill in the daily inspection items and the daily inspection results of the air purification equipment. According to the daily inspection items of the air purification equipment, the inspection items are listed according to the items required in the operation instruction book of normal operation of the equipment and recorded in the daily maintenance module of the air purification equipment, and a worker scans the two-dimensional code of each air purification equipment through a user terminal APP to count the inspection items and the inspection results of the equipment to be filled.
The invention comprises two daily maintenance situations of the air purification equipment: one is that a call for repair is received from an operating room, the call is manually dispatched to a relevant engineer, then manual inspection is carried out, after the engineer arrives at the site for maintenance, the two-dimensional code on the maintained equipment is scanned through an APP on a mobile phone to enter a maintenance content filling interface, and after the maintenance content is filled and submitted, the daily maintenance module of the air purification equipment records the maintenance content; the other method is that the Web server carries out periodic (such as setting for one week) deep learning according to the received information of the daily maintenance module 101 of the air purification equipment, automatically judges faults, sends a maintenance suggestion list to the daily maintenance module 101 of the air purification equipment, sends the maintenance suggestion list to a corresponding engineer, and the engineer opens a link to check a project to be maintained, fills in relevant maintenance information and uploads the maintenance information after the maintenance is completed.
The above-mentioned embodiments are merely preferred embodiments of the present invention, which are merely illustrative and not restrictive, and it should be understood that other embodiments may be easily made by those skilled in the art by replacing or changing the technical contents disclosed in the specification, and therefore, all changes and modifications that are made on the principle of the present invention should be included in the scope of the claims of the present invention.
Claims (3)
1. An operating room air purification management system based on deep learning is characterized by comprising a control system, a plurality of sensors, a radio frequency communication system, a Web server, a user terminal APP, an air purification equipment daily operation and maintenance management system and an operating room detection system;
the Web server is connected with the control system, the radio frequency communication system, the user terminal APP, the daily operation and maintenance management system of the air purification equipment and the operating room detection system;
the plurality of sensors are connected with a control system, the control system regulates the operation of the air purification equipment according to the monitoring data of the plurality of sensors and transmits the operation data of the air purification equipment to the Web server;
the daily operation and maintenance management system of the air purification equipment comprises an air purification equipment daily maintenance module and an air purification equipment daily inspection module;
the daily maintenance module of the air purification equipment is used for receiving a maintenance suggestion list sent by the Web server and recording maintenance information of workers;
the radio frequency communication system comprises a radio frequency identification electronic tag adhered to the air purification equipment, a wrist type Bluetooth radio frequency identifier worn by a worker and matched with the radio frequency electronic tag, and a radio frequency receiver connected with the Web server, so that maintenance information recorded by the daily maintenance module of the air purification equipment is transmitted to the Web server;
the daily inspection module of the air purification equipment comprises an intelligent inspection module, and the intelligent inspection module is used for the Web server to perform deep learning according to the received operation data of the air purification equipment and the maintenance information of the daily maintenance module of the air purification equipment, obtain the air purification equipment which needs to be maintained or has abnormity, and send out a maintenance suggestion list;
the operating room detection system comprises an operating room operation AI identification module, an operating room operation data recording module and an operating room automatic monitoring processing module;
the operating room AI identification module is used for identifying the conventional cleaning activities or detection activities of workers in the operating room through deep learning by an AI intelligent camera arranged in the operating room and transmitting the activity information to a Web server;
the operating room operation data recording module is used for recording operating room operation information submitted by workers;
the operating room automatic monitoring processing module is used for judging whether the concentration of dust particles in the operating room regularly monitored by the laser particle online monitor arranged in the operating room meets the requirement, if so, the data is uploaded to the Web server, and if not, a maintenance advice list is sent.
2. The operating room air purification management system based on deep learning of claim 1, wherein the plurality of sensors comprise a temperature and humidity sensor, a primary filtration differential pressure sensor, a secondary filtration differential pressure sensor, a water inlet and outlet temperature sensor, a water inlet and outlet differential pressure sensor, an over-temperature sensor and an over-water level alarm sensor.
3. The operating room air purification management system based on deep learning of claim 1, wherein the air purification equipment daily inspection module further comprises a manual inspection module, and the manual inspection module is used for a worker to scan the two-dimensional code of each air purification equipment through a user terminal APP to fill in daily inspection items and daily inspection results of the air purification equipment.
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Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170086793A (en) * | 2016-01-19 | 2017-07-27 | 주식회사 엠티비 | ICT IoT Smart Bedsideterminal Smart Hospital Managerment System and method |
| CN109442704A (en) * | 2018-09-28 | 2019-03-08 | 山东辉瑞净化工程有限公司 | Operating room cleaning remote supervision system |
| WO2019095910A1 (en) * | 2017-11-15 | 2019-05-23 | 天津市普迅电力信息技术有限公司 | Daily patrol working method and system in substation |
| CN109801416A (en) * | 2019-01-11 | 2019-05-24 | 中邮建技术有限公司 | A kind of total dimension computer lab management method of building together based on big data analysis |
| TWM586422U (en) * | 2019-07-08 | 2019-11-11 | 信鼎技術服務股份有限公司 | Factory operation and maintenance expert system |
| CN209801721U (en) * | 2019-01-28 | 2019-12-17 | 深圳市康弘环保技术有限公司 | Self-learning type fresh air intelligent control system and fresh air fan |
| US20200244476A1 (en) * | 2017-10-18 | 2020-07-30 | Samsung Electronics Co., Ltd. | Data learning server, and method for generating and using learning model thereof |
| US20200250774A1 (en) * | 2017-09-15 | 2020-08-06 | Smartclean Technologies, Pte. Ltd. | System and method for predictive cleaning |
| CN111795442A (en) * | 2020-07-10 | 2020-10-20 | 柒贰零（北京）健康科技有限公司 | Intelligent distributed air disinfection and purification system |
| CN111928372A (en) * | 2020-08-17 | 2020-11-13 | 江苏卫蓝医疗科技有限公司 | Constant temperature and humidity air purification system of clean operating room |
| CN112596416A (en) * | 2020-12-18 | 2021-04-02 | 山东盛帆蓝海电气有限公司 | Building unified management and control system and method |
| CN112969049A (en) * | 2021-01-29 | 2021-06-15 | 南京长江油运有限公司 | Intelligent detection system for ship violation behaviors |
| WO2021207547A1 (en) * | 2020-04-08 | 2021-10-14 | Helios Sports, Inc | Methods and system for training and improving machine learning models |
| US20220010996A1 (en) * | 2020-06-01 | 2022-01-13 | Energy Cloud Inc. | Cloud based hvac management apparatus and system for air purification, indoor air quality monitoring, and methods for implementing the same |
| CN216434700U (en) * | 2021-04-29 | 2022-05-03 | 领路峰(福建)科技发展有限公司 | Intelligent inspection terminal equipment based on Internet of things and positioning technology |
| CN114511111A (en) * | 2022-01-05 | 2022-05-17 | 中国第一汽车股份有限公司 | Industrial robot operation and maintenance management system |
-
2022
- 2022-05-28 CN CN202210592173.1A patent/CN114877468B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170086793A (en) * | 2016-01-19 | 2017-07-27 | 주식회사 엠티비 | ICT IoT Smart Bedsideterminal Smart Hospital Managerment System and method |
| US20200250774A1 (en) * | 2017-09-15 | 2020-08-06 | Smartclean Technologies, Pte. Ltd. | System and method for predictive cleaning |
| US20200244476A1 (en) * | 2017-10-18 | 2020-07-30 | Samsung Electronics Co., Ltd. | Data learning server, and method for generating and using learning model thereof |
| WO2019095910A1 (en) * | 2017-11-15 | 2019-05-23 | 天津市普迅电力信息技术有限公司 | Daily patrol working method and system in substation |
| CN109442704A (en) * | 2018-09-28 | 2019-03-08 | 山东辉瑞净化工程有限公司 | Operating room cleaning remote supervision system |
| CN109801416A (en) * | 2019-01-11 | 2019-05-24 | 中邮建技术有限公司 | A kind of total dimension computer lab management method of building together based on big data analysis |
| CN209801721U (en) * | 2019-01-28 | 2019-12-17 | 深圳市康弘环保技术有限公司 | Self-learning type fresh air intelligent control system and fresh air fan |
| TWM586422U (en) * | 2019-07-08 | 2019-11-11 | 信鼎技術服務股份有限公司 | Factory operation and maintenance expert system |
| WO2021207547A1 (en) * | 2020-04-08 | 2021-10-14 | Helios Sports, Inc | Methods and system for training and improving machine learning models |
| US20220010996A1 (en) * | 2020-06-01 | 2022-01-13 | Energy Cloud Inc. | Cloud based hvac management apparatus and system for air purification, indoor air quality monitoring, and methods for implementing the same |
| CN111795442A (en) * | 2020-07-10 | 2020-10-20 | 柒贰零（北京）健康科技有限公司 | Intelligent distributed air disinfection and purification system |
| CN111928372A (en) * | 2020-08-17 | 2020-11-13 | 江苏卫蓝医疗科技有限公司 | Constant temperature and humidity air purification system of clean operating room |
| CN112596416A (en) * | 2020-12-18 | 2021-04-02 | 山东盛帆蓝海电气有限公司 | Building unified management and control system and method |
| CN112969049A (en) * | 2021-01-29 | 2021-06-15 | 南京长江油运有限公司 | Intelligent detection system for ship violation behaviors |
| CN216434700U (en) * | 2021-04-29 | 2022-05-03 | 领路峰(福建)科技发展有限公司 | Intelligent inspection terminal equipment based on Internet of things and positioning technology |
| CN114511111A (en) * | 2022-01-05 | 2022-05-17 | 中国第一汽车股份有限公司 | Industrial robot operation and maintenance management system |
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