CN118149446A - Air conditioner control method and system for intelligent hospital - Google Patents

Air conditioner control method and system for intelligent hospital Download PDF

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Publication number
CN118149446A
CN118149446A CN202410113023.7A CN202410113023A CN118149446A CN 118149446 A CN118149446 A CN 118149446A CN 202410113023 A CN202410113023 A CN 202410113023A CN 118149446 A CN118149446 A CN 118149446A
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Prior art keywords
equipment
surgical
node
air conditioner
maintenance
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CN202410113023.7A
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Inventor
刘小雄
楼庆焕
官国良
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Guangzhou Aolanda Energy Saving Technology Co ltd
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Guangzhou Aolanda Energy Saving Technology Co ltd
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Priority to CN202410113023.7A priority Critical patent/CN118149446A/en
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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
    • F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
    • F24F13/28—Arrangement or mounting of filters
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Business, Economics & Management (AREA)
  • Public Health (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Surgery (AREA)
  • Urology & Nephrology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application discloses an air conditioner control method and system for an intelligent hospital, wherein the method comprises the following steps: in the cloud server: constructing a strategy database; through position matching, each air conditioning unit and the corresponding grid area point are subjected to grouping binding; in the edge server: executing an air conditioner self-adaptive control response in response to receiving the node air conditioner control request; in executing the air conditioner adaptive control response, specifically, the method includes: traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies; grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results; sending a strategy result based on the node ID; the intelligent control effect of the air conditioning unit in the hospital node in each grid area point is realized through the cooperative work of the cloud server and the edge server.

Description

Air conditioner control method and system for intelligent hospital
Technical Field
The application relates to the technical field of air conditioners, in particular to an air conditioner control method and system for an intelligent hospital.
Background
The operating room needs to maintain a highly clean environment to reduce the risk of infection. By adopting the technical means of high-efficiency filters, reasonable airflow tissues, strict disinfection and sterilization measures and the like, the air cleanliness in an operating room is ensured to meet the specified requirements, so that the air conditioner control in the operating room is very important.
However, the existing air conditioning control system of the intelligent hospital lacks analysis of the clean plan during operation. On the one hand, the configuration parameters of the air conditioning unit in the operating room need to be manually checked before the operation, so that the air conditioning scheduling control in the operating room is low in refinement degree; on the other hand, there is a limitation on the management and control of a plurality of operating rooms, such as insufficient flexibility of air conditioner control for different operation types, each time the working condition of the air conditioner needs to be manually adjusted in advance according to the actual operation condition, so that the adjusting efficiency of the air conditioner control is lower, and if the working condition of the air conditioner does not meet the cleanliness requirement level due to the misoperation of artificial omission, the operation effect is also easily affected.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the application provides an air conditioner control method and system for an intelligent hospital.
In order to achieve the above purpose, the present application adopts the following technical scheme:
According to one aspect of the present application, there is provided an air conditioner control method for a smart hospital, the method being applied to a smart hospital management system, the smart hospital management system including a cloud server and a plurality of edge servers, the cloud server being respectively wirelessly connected to the plurality of edge servers, the cloud server being configured to construct a policy database to share an air conditioner control policy, thereby providing policy support for each edge server;
The method comprises the following steps:
in a cloud server, comprising:
Constructing a strategy database;
through position matching, each air conditioning unit and the corresponding grid area point are subjected to grouping binding;
In an edge server, comprising:
Executing an air conditioner self-adaptive control response in response to receiving the node air conditioner control request;
in executing the air conditioner adaptive control response, specifically, the method includes:
traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
Grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
Sending a strategy result based on the node ID;
In each strategy result, each strategy result corresponds to one node ID, and the first merging grouping is carried out according to the same node ID, and then the second merging grouping is carried out according to the same equipment ID, so that all air conditioner control strategies which are needed to be used by each equipment ID are determined;
The method specifically comprises the following steps of performing demand analysis on the surgical task with the surgical change identifier to match the corresponding air conditioner control strategy: judging whether the currently traversed surgical task has a surgical change identifier, if so, extracting the surgical name, illness state text information and equipment ID of the surgical task, and checking the surgical matching degree of the surgical name and illness state text information;
If the verification is successful, matching the corresponding operation type according to the operation name by utilizing a pre-stored operation type mapping table, matching the corresponding cleanliness requirement level according to the operation type by utilizing a pre-stored cleanliness requirement mapping table, determining the corresponding equipment model according to the equipment ID, determining an air conditioner control strategy according to the equipment model and the cleanliness requirement level based on the data copy of the strategy database;
if the verification fails, generating operation verification prompt information for prompting medical staff that the operation name is not matched with the illness state text information;
if the operation change mark is not available, the operation change mark is not processed;
The node air conditioner control request is sent by the terminal server, the node air conditioner control request comprises a node ID and a surgical demand plan list corresponding to the node ID, the surgical demand plan list comprises a plurality of surgical tasks, and each surgical task is provided with a corresponding task ID, a surgical name, a device ID and illness state text information.
Preferably, in the pre-stored operation type mapping table, each operation name has a corresponding operation type, in the pre-stored cleanliness requirement mapping table, each operation type has a corresponding cleanliness requirement level, the cleanliness requirement level is provided with four levels, and the order of the cleanliness requirement from high to low according to the cleanliness requirement level corresponds to the following steps in sequence: the first preset level, the second preset level, the third preset level and the fourth preset level.
Preferably, in the checking of the surgical matching degree of the surgical name and the illness state text information, the method specifically comprises the following steps:
Setting the surgery matching degree corresponding to the surgery name to be 0;
based on a preset illness state database, matching a corresponding preset illness state keyword set and a corresponding preset matching threshold according to the operation name;
traversing the preset disease keyword set in sequence, and accumulating the operation matching degree by 1 if the currently traversed preset disease keywords exist in the disease text information;
After traversing the preset disease keyword set, if the surgery matching degree is greater than or equal to a preset matching threshold, checking successfully, otherwise, checking failed;
in a preset condition database, each surgical name has a corresponding preset condition keyword set and a preset matching threshold.
Preferably, in constructing the policy database, the method specifically includes:
collecting the equipment models of all air conditioning units;
Establishing corresponding air-conditioning control rules in a strategy database according to the equipment model, wherein the air-conditioning control rules comprise air-conditioning control strategies corresponding to different cleanliness requirement levels, and the air-conditioning control strategies are used for determining configuration parameters of each clean processing link;
Setting sharable rights for the IP address of each edge server based on the region ID, wherein each region ID corresponds to the IP address of one edge server;
When the strategy database is updated, judging whether the IP address initiating the update request has sharable authority, if so, sending a data copy of the strategy database to the IP address, and if not, not processing.
Preferably, in the grouping binding of each air conditioning unit with the corresponding grid area point by the position matching, specifically including:
determining boundary information of all edge servers;
grouping and binding are carried out on the basis of hospital nodes to obtain a plurality of node cluster tables, and the method specifically comprises the following steps: sequentially traversing all the equipment lists of the hospital nodes, determining the node IDs corresponding to the currently traversed hospital nodes based on the equipment list of the currently traversed hospital nodes, and sequentially adding all the equipment IDs in the equipment list into the node cluster table corresponding to the node IDs until a plurality of node cluster tables are obtained after the traversing is finished;
The equipment list of each hospital node corresponds to the node ID, each node ID has corresponding positioning information, the equipment list of each hospital node comprises the equipment ID corresponding to each air conditioning unit and the equipment model corresponding to each air conditioning unit, and further the air conditioning units belonging to the same hospital node have the same positioning information;
and carrying out grouping binding on the node cluster tables based on the boundary information of the edge server so as to obtain a plurality of regional cluster tables.
Preferably, in the edge server, the method further includes:
in response to receiving the surgical cleaning record information, updating the running accumulated time length and the filter element use accumulated time length based on the equipment ID in the equipment use record table;
in response to receiving the node air conditioner control request, further comprising: performing a regional equipment maintenance analysis response;
In response to receiving the maintenance completion information, resetting an operation accumulated duration based on the device ID in the device usage record table;
Resetting the accumulated filter element use duration based on the equipment ID in the equipment use record table in response to receiving the core replacement completion information;
the equipment use record table is used for recording the running accumulated time length and the filter element use accumulated time length of each equipment ID;
The surgical clean record information is triggered and generated when any surgical task is completed, and comprises: device ID, task run length.
Preferably, in performing the regional equipment maintenance analysis response, specifically including:
traversing the surgical demand plan list, and then traversing each surgical task in turn;
Determining the operation demand time of each operation task;
Summarizing and counting the surgical tasks using the same equipment ID to obtain the total operation demand time;
based on a pre-stored maintenance time length schedule, matching a corresponding preset maintenance time length threshold value and a corresponding preset filter element use time length threshold value according to the equipment model corresponding to each equipment ID;
Determining maintenance analysis results based on the total operation demand time and a preset maintenance time threshold, wherein each maintenance analysis result corresponds to a unique equipment ID, and the maintenance analysis result is a mark needing to be maintained or a mark needing to be maintained;
determining a filter element analysis result based on the total operation demand time and a preset filter element use time threshold value, wherein each filter element analysis result corresponds to a unique equipment ID, and the filter element analysis result is a mark needing to be replaced or a mark needing to be replaced;
when the operation demand plan list is traversed, combining a maintenance analysis result and a filter element analysis result, screening equipment IDs based on the marks needing maintenance and the marks needing core replacement to generate an equipment maintenance early warning list, and marking the corresponding marks needing maintenance and the marks needing core replacement;
traversing the equipment to maintain an early warning list, and packaging the equipment IDs into groups based on the node IDs and sending the groups to corresponding groups.
Preferably, in determining the operation requirement duration of each surgical task, the method specifically includes: determining the sub-demand time length of each clean processing link based on the operation task matching corresponding air conditioner control strategy, and obtaining the operation demand time length of the operation task by accumulating the sub-demand time lengths of the clean processing links, wherein the operation demand time length is specifically expressed as:
Tneed(j)＝Tprocess1(j)+Tprocess2(j)+Tprocess3(j)+Tprocess4(j)+Tprocess5(j)
T need(j) represents the operation demand time of the jth operation task, T process1 (j) represents the demand time corresponding to the jth operation task in the fresh air treatment link, T process2 (j) represents the demand time corresponding to the jth operation task in the temperature and humidity regulation link, T process3 (j) represents the demand time corresponding to the jth operation task in the air circulation link, T process4 (j) represents the demand time corresponding to the jth operation task in the air purification link, and T process5 (j) represents the demand time corresponding to the jth operation task in the air exhaust link;
The method specifically comprises the following steps of:
Calculating the total estimated running duration, which specifically comprises the following steps:
T_pre 1 (k) represents the total estimated duration of operation corresponding to the kth device ID, T_total 1 (k) represents the accumulated duration of operation corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
And performing maintenance analysis, setting a maintenance analysis result corresponding to the equipment ID as a maintenance-required mark if the running total estimated time length corresponding to the equipment ID analyzed currently exceeds a preset maintenance time length threshold, and setting the maintenance analysis result corresponding to the equipment ID as a maintenance-unnecessary mark otherwise.
Preferably, in determining the filter element analysis result by the total operation demand time and the preset filter element use time threshold, the method specifically includes:
calculating the total estimated duration of the filter element, which specifically comprises the following steps:
t_pre 2 (k) represents the total estimated duration of filter element use corresponding to the kth device ID, T_total 2 (k) represents the accumulated duration of filter element use corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
performing core replacement analysis, setting a filter element analysis result corresponding to the equipment ID as a core replacement-required mark if the total estimated filter element use duration corresponding to the equipment ID analyzed at present exceeds a preset filter element use duration threshold, otherwise setting the filter element analysis result corresponding to the equipment ID as a core replacement-unnecessary mark;
the screening device ID based on the maintenance-required mark and the core-required mark specifically comprises the following steps: the device ID with the mark which is only required to be maintained or the mark which is only required to be replaced or both the mark which is required to be maintained and the mark which is required to be replaced is screened out and added into a device maintenance early warning list, and the device maintenance early warning list is used for prompting maintenance staff to timely maintain the air conditioning unit.
According to another aspect of the present application, there is also provided an air conditioning control system for a smart hospital, characterized by performing the method as set forth in any one of the above, the system comprising: a first processing module and a second processing module,
In a first processing module, comprising:
the policy data sub-module is used for constructing a policy database;
the grouping binding sub-module is used for completing grouping binding between each air conditioning unit and the corresponding grid area point through position matching;
in a second processing module, comprising:
The air conditioner self-adaptive control sub-module is used for responding to the received node air conditioner control request and executing air conditioner self-adaptive control response;
in executing the air conditioner adaptive control response, specifically, the method includes:
traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
Grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
Sending a strategy result based on the node ID;
In each strategy result, each strategy result corresponds to one node ID, and the first merging grouping is carried out according to the same node ID, and then the second merging grouping is carried out according to the same equipment ID, so that all air conditioner control strategies which are needed to be used by each equipment ID are determined;
The node air conditioner control request is sent by the terminal server, the node air conditioner control request comprises a node ID and a surgical demand plan list corresponding to the node ID, the surgical demand plan list comprises a plurality of surgical tasks, and each surgical task is provided with a corresponding task ID, a surgical name, a device ID and illness state text information.
Compared with the prior art, the application has the following advantages and beneficial effects:
(1) The intelligent control effect of the air conditioning unit in the hospital node in each grid area point is realized through the cooperative work of the cloud server and the edge server, and the air conditioning dispatching control refinement degree in an operating room is improved through the air conditioning self-adaptive control response
The medical staff can concentrate on other working things without frequently and manually adjusting the configuration parameters of each clean processing link, which is beneficial to improving the overall operation efficiency of the hospital and enhancing the management efficiency of the hospital, so that the intelligent and efficient management of the intelligent hospital internal air conditioning unit is realized, and the operation clean processing efficiency of the hospital and the reliability of medical operation work are improved.
(2) According to the application, the operation task with the operation change mark is subjected to demand analysis to be matched with the corresponding air-conditioning control strategy, and the effect of executing response according to the demand is achieved by setting the operation change mark, so that the operation task without the operation change mark is prevented from being repeatedly matched with the corresponding air-conditioning control strategy, and the response efficiency of air-conditioning control is improved; by constructing the strategy database, each edge server can timely acquire the data copy of the strategy database, and can timely match with a proper air conditioner control strategy when facing different operation tasks, so that the effect of dynamic regulation of the strategy is achieved, and the flexibility of dynamic regulation of the air conditioner control strategy for the requirements of the operation tasks is improved; further, by setting the sharable authority pair IP address, the IP address with malicious request is shielded in time, and the security of the policy database is improved.
(3) According to the application, the operation matching degree is checked on the operation name and the illness state text information, and then the air conditioner control strategy is determined according to the equipment model and the cleanliness requirement level based on the data copy of the strategy database after the check is successful, so that the accuracy of checking the operation related data is improved, the condition that the cleanliness requirement level is met in the operation process is influenced due to the fact that medical staff misoperate and input wrong operation names is avoided, and the data reliability of each operation task is ensured.
(4) The present application responds by performing a regional equipment maintenance analysis response in response to receiving a node air conditioner control request: the maintenance analysis result is determined based on the total operation demand time and the preset maintenance time threshold, so that the intelligent level of equipment maintenance analysis is improved, the complexity of manual judgment and recording is avoided, and the efficiency and accuracy of maintenance work are improved; determining a filter element analysis result based on the total operation demand time and a preset filter element use time threshold value, achieving the effect of intelligent prompt of filter element replacement, and ensuring continuous and stable operation of equipment by prompting maintenance personnel to replace the filter element in time, thereby reducing the clean unqualified risk caused by expiration of the filter element; and combining a maintenance analysis result and a filter element analysis result, screening equipment IDs based on the marks needing maintenance and the marks needing core replacement to generate an equipment maintenance early warning list, marking the corresponding marks needing maintenance and the marks needing core replacement, and improving the efficiency and reliability of maintenance work of the air conditioning unit in a hospital, reducing the equipment maintenance cost and the equipment fault risk and ensuring that the air cleanliness in an operating room meets the specified requirement through automatic and intelligent equipment maintenance and filter element replacement prompt.
Drawings
Fig. 1 is a flow chart of an air conditioning control method for a smart hospital in embodiment 1 of the present application;
FIG. 2 is a schematic diagram of the strategy result in embodiment 1 of the present application;
fig. 3 is a flow chart of an air conditioning control method for a smart hospital in embodiment 2 of the present application;
FIG. 4 is a schematic diagram showing the structure of a device usage record table in embodiment 2 of the present application;
fig. 5 is a schematic block diagram of an air conditioning control system for a smart hospital in embodiment 3 of the present application;
Fig. 6 is a schematic structural diagram of a terminal according to embodiment 4 of the present application;
fig. 7 is a schematic structural diagram of a computer device according to embodiment 5 of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In embodiment 1, the present embodiment provides an air conditioner control method for a smart hospital, where the method is applied to a smart hospital management system, and the system includes a cloud server and a plurality of edge servers, where the cloud server is respectively wirelessly connected with the plurality of edge servers;
The cloud server is used for constructing a strategy database to share an air conditioner control strategy so as to provide strategy support for each edge server;
Each edge server is arranged in a grid area point, each edge server corresponds to an area ID, each edge server is connected with at least one terminal server, each terminal server is arranged in a hospital node, each terminal server corresponds to a node ID, and the edge servers are used for generating corresponding strategy results according to an operation demand plan list initiated by the hospital node, and the strategy results comprise a plurality of air conditioner control schedules;
Each hospital node is provided with a plurality of air conditioning units for an operating room, each terminal server is respectively connected with the plurality of air conditioning units, and each air conditioning unit corresponds to a unique equipment ID; each air conditioning unit corresponds to one air conditioning control schedule, and then the corresponding air conditioning control strategy in the air conditioning control schedule is executed according to the task ID, so that an adaptive response effect of air conditioning control is provided for each hospital node, the cleanliness requirement level of each operation task is met by matching with the appropriate air conditioning control strategy, and the personalized requirement for air conditioning control is further improved.
In this embodiment, as shown in fig. 1, the method includes:
in a cloud server, comprising:
step S100: the construction of the strategy database specifically comprises the following steps:
step S101: collecting the equipment models of all air conditioning units;
Step S102: establishing corresponding air-conditioning control rules in a strategy database according to the equipment model, wherein the air-conditioning control rules comprise air-conditioning control strategies corresponding to different cleanliness requirement levels;
It should be noted that, in the cleaning treatment of the operating room, the involved links include fresh air treatment, temperature and humidity adjustment, air circulation, air purification and exhaust, and each link sets corresponding configuration parameters according to the needs, so as to meet the corresponding cleanliness requirement level. Each air conditioner control strategy can be tested in a test room in advance by a person skilled in the art to determine the operation time required by each link under the condition of different cleanliness requirement levels. At the time of the test, the bacterial concentration may be allowed to stand in a culture dish having a diameter of 90mm for 30 minutes, and then the resulting colony count per dish is cultured. Illustratively, 15 dishes are placed in the test chamber, for example: 7 positions of the operating table are placed, 2 positions of the operating table are placed on each wall around the operating table, and the placing positions and the heights are consistent with the requirements of a common sampling method.
In this embodiment, the air conditioning control strategy is used to determine configuration parameters for each clean process link. Exemplary air conditioning control strategies include fresh air handling information, temperature and humidity regulation information, air circulation information, air purification information, and emission information;
In the fresh air processing information, the fresh air processing information is used for controlling fresh air introduced from the outside and filtering the fresh air so as to remove pollutants such as dust, microorganisms and the like. The fresh air processing information comprises fresh air introduction parameters and filtering parameters, wherein the fresh air introduction parameters are used for determining the duration of fresh air introduction so as to ensure that the air conditioning unit introduces outdoor fresh air through the air inlet; the filtering parameters are used for determining the filtering duration of each filter; for example, the primary filter, the intermediate filter and the high-efficiency filter are used for sequentially performing filtering treatment so as to enable fresh air entering an operating room to reach the cleanliness requirement. The primary filter is used for removing dust and pollutants with larger particles from fresh air, the secondary filter is used for removing tiny particles and microorganisms, and the efficient filter is used for removing microorganisms.
In the temperature and humidity regulation information, the temperature and humidity regulation system is used for controlling the heater/cooling coil to regulate the temperature of fresh air and controlling the humidifier/dehumidifier to regulate the humidity so as to meet the comfort level requirement in an operating room. The temperature and humidity regulation information comprises a temperature regulation parameter and a humidity regulation parameter, wherein the temperature regulation parameter is used for heating or cooling fresh air to enable the temperature to reach the set temperature in an operating room, such as the heating degree or the cooling degree; the humidity adjusting parameter is used for adjusting the humidity of the fresh air so as to maintain the relative humidity in the operating room within a set range, such as a humidity increasing value or a humidity decreasing value.
In the air circulation information, a fan or blower is used to control the mixing of the treated fresh air and the indoor return air to form a circulation air flow so as to ensure the uniform distribution of the indoor air. The air circulation information includes circulation parameters, mixing parameters, supply parameters, return parameters, such as: the circulation parameter is specifically circulation times, the mixing parameter is specifically the mixing proportion of air supply and return air, the air supply parameter is used for controlling the air supply port, the air supply parameter comprises the quantity of the air supply port and the air supply quantity, the return air parameter is used for controlling the return air port, and the return air parameter comprises the quantity of the return air port and the return air quantity.
In the air purification information, the operation time of the purification device is determined so as to further purify the circulating air flow, so that the effects of killing bacteria and viruses and removing peculiar smell in the air are achieved, and the purification device comprises an ultraviolet sterilizer, an ozone generator, an activated carbon filter and the like.
In the exhaust information, the exhaust fan is used for controlling the exhaust fan to generate negative pressure to discharge the exhaust gas and peculiar smell generated in the operating room outdoors through the exhaust outlet so as to avoid secondary pollution. For example, the exhaust information includes an exhaust wind pressure parameter and an exhaust duration parameter; the exhaust duration parameter is used for determining the duration of the operation of the air outlet and the air exhaust fan, and the exhaust air pressure parameter is used for determining the pressure value generated by the air exhaust fan so as to keep the indoor positive pressure state.
Step S103: setting sharable rights for the IP address of each edge server based on the region ID, wherein each region ID corresponds to the IP address of one edge server;
Step S104: when the strategy database is updated, judging whether the IP address initiating the update request has sharable authority, if so, sending a data copy of the strategy database to the IP address, and if not, not processing. In this step, the edge server initiates an update request according to the update prompt information sent when the policy database is updated.
In actual application, by constructing the policy database, each edge server can timely acquire the data copy of the policy database, and can timely match with a proper air conditioner control policy when facing different operation tasks, so that the policy matching efficiency is improved, the IP address with the sharable authority is set, the IP address with malicious requests is timely shielded, and the security of the policy database is improved.
Step S200: through position matching, each air conditioning unit and the corresponding grid area point are subjected to grouping binding; the method specifically comprises the following steps:
Step S201: determining boundary information of all edge servers; the boundary information of the edge server includes, for example, a preset area range corresponding to a grid area point is defined by taking the edge server as a center, and preset area ranges corresponding to adjacent grid area points are not overlapped;
Step S202: grouping and binding are carried out on the basis of hospital nodes to obtain a plurality of node cluster tables, and the method specifically comprises the following steps: sequentially traversing all the equipment lists of the hospital nodes, determining the node IDs corresponding to the currently traversed hospital nodes based on the equipment list of the currently traversed hospital nodes, and sequentially adding all the equipment IDs in the equipment list into the node cluster table corresponding to the node IDs until a plurality of node cluster tables are obtained after the traversal is finished.
In this embodiment, the device list of each hospital node corresponds to a node ID, each node ID has corresponding positioning information, the device list of each hospital node includes a device ID corresponding to each air conditioning unit, and a device model corresponding to each air conditioning unit, so that air conditioning units belonging to the same hospital node have the same positioning information; illustratively, the positioning information includes GPS signals for locating the hospital node.
Step S203: the method comprises the steps of grouping and binding node cluster tables based on boundary information of an edge server to obtain a plurality of area cluster tables, and specifically comprises the following steps: and (3) establishing a corresponding area cluster table based on the edge server, sequentially traversing all the node cluster tables, determining the area cluster table corresponding to the edge server if positioning information corresponding to the currently traversed node cluster table belongs to boundary information of the edge server, and adding the node cluster table into the area cluster table.
In actual application, the edge computing function of the edge server is utilized, grouping binding is completed between each air conditioning unit and the corresponding grid area point through position matching, a strategy database is utilized to timely match an appropriate air conditioning control strategy, and the air conditioning control strategy matching process needing real-time computing and analyzing is placed on the edge server which is closer to the terminal equipment, so that the real-time performance of data processing is ensured, the risk of data transmission is reduced, the dependence on a cloud server is reduced, the delay is further reduced, and the efficiency of self-adaptive control response of the air conditioner is improved.
In an edge server, comprising:
Step S300: executing an air conditioner self-adaptive control response in response to receiving the node air conditioner control request;
In this embodiment, a node air conditioner control request is issued by a terminal server, the node air conditioner control request including a node ID and a surgical demand plan list corresponding to the node ID. The surgical demand plan list includes a plurality of surgical tasks, each surgical task having a corresponding task ID, surgical name, device ID, and condition text information.
In executing the air conditioner adaptive control response, specifically, the method includes:
Step S301: traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
the method specifically comprises the following steps of performing demand analysis on the surgical task with the surgical change identifier to match the corresponding air conditioner control strategy:
step S301a: judging whether the currently traversed surgical task has a surgical change mark or not;
step S301b: if the operation change mark is available, extracting an operation name, illness state text information and equipment ID of the operation task, and checking the operation matching degree of the operation name and illness state text information;
If the verification is successful, matching the corresponding operation type according to the operation name by utilizing a pre-stored operation type mapping table, matching the corresponding cleanliness requirement level according to the operation type by utilizing a pre-stored cleanliness requirement mapping table, determining the corresponding equipment model according to the equipment ID, determining an air conditioner control strategy according to the equipment model and the cleanliness requirement level based on the data copy of the strategy database;
if the verification fails, generating operation verification prompt information for prompting medical staff that the operation name is not matched with the illness state text information;
step S301c: if the operation change mark is not available, the operation change mark is not processed;
In this embodiment, in the pre-stored operation type mapping table, each operation name has a corresponding operation type, and in the pre-stored cleanliness requirement mapping table, each operation type has a corresponding cleanliness requirement level.
Illustratively, in the pre-stored operation type mapping table, when the operation name is "coronary bypass operation", the corresponding operation type is cardiac surgery. In addition, the operation names of "valve repair operation", "congenital heart disease operation" or "pericardial peeling operation" are also corresponding to cardiac surgery; correspondingly, in a pre-stored cleanliness requirement mapping table, when the operation type is cardiac surgery type, the corresponding cleanliness requirement level is a first preset level;
In this embodiment, the cleanliness requirement level is provided with four levels, and the order of the cleanliness requirement from high to low according to the cleanliness requirement level corresponds to: the first preset level, the second preset level, the third preset level and the fourth preset level.
The first preset level is, for example, the highest requirement for aseptic conditions, where the number of dust particles with a particle size of 5 μm or more is 0, the number of planktonic bacteria is 5/m 3 or less, and the number of sedimentation bacteria is 1 or lessThe surgical types corresponding to the first preset level include: cardiac surgery, organ transplantation, brain surgery, joint replacement, and ophthalmology.
Illustratively, the second predetermined level is less demanding for aseptic conditions than the first predetermined level, when the number of dust particles having a particle size of 5 μm or more is 300 particles/m 3 or less. The number of planktonic bacteria is less than or equal to 75/m 3, and the number of sedimentation bacteria is less than or equal to 2 +.The surgical types corresponding to the second preset level include: thoracic surgery, hepatobiliary and pancreatic surgery, urinary surgery, orthopedics and orthopedics.
Illustratively, the third predetermined level has a lower requirement for aseptic conditions than the second predetermined level, at which point the number of dust particles having a size of 5 μm or more is 3000 particles/m 3 or less. The number of planktonic bacteria is less than or equal to 150 per m 3, and the number of settled bacteria is less than or equal to 5 +.The surgical types corresponding to the third preset level include: general surgery and obstetrics.
Illustratively, the fourth predetermined level has a lower requirement for aseptic conditions than the third predetermined level, at which point the number of dust particles having a size of 5 μm or more is less than or equal to 30000 particles/m 3. The number of planktonic bacteria is less than or equal to 400/m 3, and the number of sedimentation bacteria is less than or equal to 10 +.The surgical types corresponding to the fourth preset level include: anorectal surgery and infections.
In the operation matching degree verification of the operation name and the illness state text information, the method specifically comprises the following steps:
Setting the surgery matching degree corresponding to the surgery name to be 0;
based on a preset illness state database, matching a corresponding preset illness state keyword set and a corresponding preset matching threshold according to the operation name;
traversing the preset disease keyword set in sequence, and accumulating the operation matching degree by 1 if the currently traversed preset disease keywords exist in the disease text information;
after traversing the preset disease keyword set, if the surgery matching degree is greater than or equal to a preset matching threshold, the verification is successful, otherwise, the verification is failed.
In this embodiment, in the preset condition database, each operation name has a corresponding preset condition keyword set and a preset matching threshold, and the value of the preset matching threshold is preset by a person skilled in the art according to the actual situation, for example, is set to be less than or equal to the number of preset condition keywords in the preset condition keyword set, and at least one preset condition keyword included in the preset condition keyword set is set.
In the step, the operation change mark is set when the newly-built operation task or the operation name of the operation task changes, and the effect of executing response as required is achieved by setting the operation change mark, so that the operation task without the operation change mark is prevented from being repeatedly matched with a corresponding air conditioner control strategy, and the response efficiency of the air conditioner control is improved.
Illustratively, the situation when a change occurs in the surgical type of the surgical task, such as: if a patient suddenly appears complications or new medical conditions, and thus the original planned operation is affected, the level of the cleanliness requirement may be changed, and at the moment, an operation change mark needs to be set.
During practical application, operation matching degree verification is performed on operation names and illness state text information, and then an air conditioner control strategy is determined according to equipment model and cleanliness requirement level based on data copy of a strategy database after verification is successful, so that accuracy of verification on operation related data is improved, the condition that the cleanliness requirement level is met in an operation process is influenced due to misoperation of medical staff is avoided, and data reliability of each operation task is guaranteed.
Step S302: grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
In the step, each policy result corresponds to a node ID, and in each policy result, the first merging and grouping are carried out according to the same node ID, and then the second merging and grouping are carried out according to the same equipment ID, so that all air conditioner control policies required to be used by each equipment ID are determined;
As shown in fig. 2, for example, in the policy result i, there is a node ID 1: the devices ID1, … …, the device IDn, the device ID1 corresponds to the air-conditioning control policies a1 to an air-conditioning control policy an, and the device IDn corresponds to the air-conditioning control policies b1 to bn. It should be understood that the policy results i, the node ID1, the device IDn, the air-conditioning control policy a1, the air-conditioning control policy an, the air-conditioning control policy b1, and the air-conditioning control policy bn mentioned in the examples are only for illustration, and are not particularly limited.
Step S303: and sending the strategy result based on the node ID.
In embodiment 2, the air conditioning control method for the intelligent hospital provided in embodiment 1 is improved to further optimize the maintenance plan of the air conditioning unit, maintain the air conditioning unit in time, ensure the safety of the air conditioning unit during operation, and further ensure the reliability of the cleaning effect in the operation process.
In this embodiment, as shown in fig. 3, the method further includes: in the edge server, further comprising:
Step S400: in response to receiving the surgical cleaning record information, updating the running accumulated time length and the filter element use accumulated time length based on the equipment ID in the equipment use record table;
Referring to fig. 4, a device usage record table is used to record the running cumulative time length and the filter element usage cumulative time length of each device ID; in the device usage record table, device ID1 corresponds to an operation cumulative length 1 and a filter element usage cumulative length 1, device ID2 corresponds to an operation cumulative length 2 and a filter element usage cumulative length 2, and device IDn corresponds to an operation cumulative length n and a filter element usage cumulative length n.
In this embodiment, the surgical clean record information is generated as triggered by completion of any one of the surgical tasks. The surgical clean record information includes: device ID, task running time;
Step S500: in response to receiving the node air conditioner control request, further comprising: performing a regional equipment maintenance analysis response; the method specifically comprises the following steps:
Step S501: traversing the surgical demand plan list, and then traversing each surgical task in turn;
Step S502: determining the operation demand time of each operation task;
The method for determining the operation requirement duration of each operation task specifically comprises the following steps: determining the sub-demand time length of each clean processing link based on the operation task matching corresponding air conditioner control strategy, and obtaining the operation demand time length of the operation task by accumulating the sub-demand time lengths of the clean processing links, wherein the operation demand time length is specifically expressed as:
Tneed(j)＝Tprocess1(j)+Tprocess2(j)+Tprocess3(j)+Tprocess4(j)+Tprocess5(j)
T need(j) represents the operation demand time of the jth operation task, T process1 (j) represents the demand time corresponding to the jth operation task in the fresh air treatment link, T process2 (j) represents the demand time corresponding to the jth operation task in the temperature and humidity regulation link, T process3 (j) represents the demand time corresponding to the jth operation task in the air circulation link, T process4 (j) represents the demand time corresponding to the jth operation task in the air purification link, and T process5 (j) represents the demand time corresponding to the jth operation task in the air exhaust link;
Step S503: summarizing and counting the surgical tasks using the same equipment ID to obtain the total operation demand time;
Step S504: based on a pre-stored maintenance time length schedule, matching a corresponding preset maintenance time length threshold value and a corresponding preset filter element use time length threshold value according to the equipment model corresponding to each equipment ID;
step S505: determining maintenance analysis results based on the total operation demand time and a preset maintenance time threshold, wherein each maintenance analysis result corresponds to a unique equipment ID, and the maintenance analysis result is a mark needing to be maintained or a mark needing to be maintained;
The method specifically comprises the following steps of:
Calculating the total estimated running duration, which specifically comprises the following steps:
T_pre 1 (k) represents the total estimated duration of operation corresponding to the kth device ID, T_total 1 (k) represents the accumulated duration of operation corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
performing maintenance analysis, setting a maintenance analysis result corresponding to the equipment ID as a maintenance-required mark if the running total estimated time length corresponding to the equipment ID analyzed currently exceeds a preset maintenance time length threshold, otherwise setting the maintenance analysis result corresponding to the equipment ID as a maintenance-unnecessary mark;
step S506: determining a filter element analysis result based on the total operation demand time and a preset filter element use time threshold value, wherein each filter element analysis result corresponds to a unique equipment ID, and the filter element analysis result is a mark needing to be replaced or a mark needing to be replaced;
In determining the filter element analysis result by the total operation demand time and the preset filter element use time threshold, the method specifically comprises the following steps:
calculating the total estimated duration of the filter element, which specifically comprises the following steps:
t_pre 2 (k) represents the total estimated duration of filter element use corresponding to the kth device ID, T_total 2 (k) represents the accumulated duration of filter element use corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
performing core replacement analysis, setting a filter element analysis result corresponding to the equipment ID as a core replacement-required mark if the total estimated filter element use duration corresponding to the equipment ID analyzed at present exceeds a preset filter element use duration threshold, otherwise setting the filter element analysis result corresponding to the equipment ID as a core replacement-unnecessary mark;
Step S507: when the operation demand plan list is traversed, combining a maintenance analysis result and a filter element analysis result, screening equipment IDs based on the marks needing maintenance and the marks needing core replacement to generate an equipment maintenance early warning list, and marking the corresponding marks needing maintenance and the marks needing core replacement;
The screening device ID based on the maintenance-required mark and the core-required mark specifically comprises the following steps: screening out the equipment ID with the mark only needing maintenance, or the mark only needing core replacement, or both the mark needing maintenance and the mark needing core replacement, and adding the equipment ID into an equipment maintenance early warning list, wherein the equipment maintenance early warning list is used for prompting maintenance personnel to timely maintain the air conditioning unit;
Step S508: traversing the equipment to maintain an early warning list, and packaging the equipment IDs into groups based on the node IDs and sending the groups to corresponding groups;
Step S600: in response to receiving the maintenance completion information, resetting the running cumulative duration based on the device ID in the device usage record table;
Step S700: resetting the accumulated filter element use duration based on the equipment ID in the equipment use record table in response to receiving the core replacement completion information;
In this embodiment, the maintenance completion information and the core replacement completion information are all sent to the edge server by the maintenance personnel using the mobile phone.
In actual application, in response to receiving the node air conditioner control request, the regional equipment maintenance analysis response is executed: the maintenance analysis result is determined based on the total operation demand time and the preset maintenance time threshold, so that the intelligent level of equipment maintenance analysis is improved, the complexity of manual judgment and recording is avoided, and the efficiency and accuracy of maintenance work are improved; determining a filter element analysis result based on the total operation demand time and a preset filter element use time threshold value, achieving the effect of intelligent prompt of filter element replacement, and ensuring continuous and stable operation of equipment by prompting maintenance personnel to replace the filter element in time, thereby reducing the clean unqualified risk caused by expiration of the filter element; and combining a maintenance analysis result and a filter element analysis result, screening equipment IDs based on the marks needing maintenance and the marks needing core replacement to generate an equipment maintenance early warning list, marking the corresponding marks needing maintenance and the marks needing core replacement, and improving the efficiency and reliability of maintenance work of the air conditioning unit in a hospital, reducing the equipment maintenance cost and the equipment fault risk and ensuring that the air cleanliness in an operating room meets the specified requirement through automatic and intelligent equipment maintenance and filter element replacement prompt.
In embodiment 3, this embodiment provides an air conditioner control system for a smart hospital, which corresponds to the air conditioner control method for a smart hospital provided in any one of the foregoing embodiments, and the same contents are not repeated.
The system is used for executing any one of the air conditioning control methods for intelligent hospitals, and is shown in combination with fig. 5, and the system comprises: a first processing module and a second processing module,
In a first processing module, comprising:
the policy data sub-module is used for constructing a policy database;
the grouping binding sub-module is used for completing grouping binding between each air conditioning unit and the corresponding grid area point through position matching;
in a second processing module, comprising:
The air conditioner self-adaptive control sub-module is used for responding to the received node air conditioner control request and executing air conditioner self-adaptive control response;
The equipment recording submodule is used for updating running accumulated time length and filter element use accumulated time length based on equipment ID in the equipment use recording table in response to receiving the operation cleaning recording information;
The maintenance analysis submodule is used for responding to the received node air conditioner control request and further comprises: performing a regional equipment maintenance analysis response;
a first record resetting sub-module, configured to reset an operation accumulation duration based on an equipment ID in the equipment usage record table in response to receiving maintenance completion information;
and the second record resetting sub-module is used for resetting the accumulated filter element use duration based on the equipment ID in the equipment use record table in response to receiving the core replacement completion information.
In executing the air conditioner adaptive control response, specifically, the method includes:
traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
Grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
Sending a strategy result based on the node ID;
In each strategy result, each strategy result corresponds to one node ID, and the first merging grouping is carried out according to the same node ID, and then the second merging grouping is carried out according to the same equipment ID, so that all air conditioner control strategies which are needed to be used by each equipment ID are determined;
The node air conditioner control request is sent by the terminal server, the node air conditioner control request comprises a node ID and a surgical demand plan list corresponding to the node ID, the surgical demand plan list comprises a plurality of surgical tasks, and each surgical task is provided with a corresponding task ID, a surgical name, an equipment ID and illness state text information.
In embodiment 4, as shown in fig. 6, this embodiment provides a terminal, including: at least one memory and at least one processor; wherein the at least one memory is configured to store program code, and the at least one processor is configured to invoke the program code stored in the at least one memory to perform any one of the air conditioning control methods for intelligent hospitals described in the above embodiments.
In embodiment 5, the present embodiment provides a computer device, which may be a server, and the internal structure thereof may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is a physical layer for storing various databases. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements an air conditioning control method for a smart hospital.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In embodiment 6, the present embodiment provides a storage medium for storing a program code for executing the above-described air conditioning control method for a smart hospital.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
The above examples are preferred embodiments of the present application, but the embodiments of the present application are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present application should be made in the equivalent manner, and the embodiments are included in the protection scope of the present application.

Claims (10)

1. The air conditioner control method for the intelligent hospital is characterized by being applied to an intelligent hospital management system, wherein the intelligent hospital management system comprises a cloud server and a plurality of edge servers, the cloud server is respectively and wirelessly connected with the plurality of edge servers, and the cloud server is used for constructing a strategy database to share an air conditioner control strategy so as to provide strategy support for each edge server;
The method comprises the following steps:
in a cloud server, comprising:
Constructing a strategy database;
through position matching, each air conditioning unit and the corresponding grid area point are subjected to grouping binding;
In an edge server, comprising:
Executing an air conditioner self-adaptive control response in response to receiving the node air conditioner control request;
in executing the air conditioner adaptive control response, specifically, the method includes: traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
Grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
Sending a strategy result based on the node ID;
In each strategy result, each strategy result corresponds to one node ID, and the first merging grouping is carried out according to the same node ID, and then the second merging grouping is carried out according to the same equipment ID, so that all air conditioner control strategies which are needed to be used by each equipment ID are determined;
The method specifically comprises the following steps of performing demand analysis on the surgical task with the surgical change identifier to match the corresponding air conditioner control strategy: judging whether the currently traversed surgical task has a surgical change identifier, if so, extracting the surgical name, illness state text information and equipment ID of the surgical task, and checking the surgical matching degree of the surgical name and illness state text information;
If the verification is successful, matching the corresponding operation type according to the operation name by utilizing a pre-stored operation type mapping table, matching the corresponding cleanliness requirement level according to the operation type by utilizing a pre-stored cleanliness requirement mapping table, determining the corresponding equipment model according to the equipment ID, determining an air conditioner control strategy according to the equipment model and the cleanliness requirement level based on the data copy of the strategy database;
if the verification fails, generating operation verification prompt information for prompting medical staff that the operation name is not matched with the illness state text information;
if the operation change mark is not available, the operation change mark is not processed;
The node air conditioner control request comprises a node ID and a surgical demand plan list corresponding to the node ID, wherein the surgical demand plan list comprises a plurality of surgical tasks, and each surgical task is provided with a corresponding task ID, a surgical name, an equipment ID and illness state text information.
2. The method of claim 1, wherein each surgical name has a corresponding surgical type in a pre-stored surgical type mapping table, each surgical type has a corresponding cleanliness requirement level in a pre-stored cleanliness requirement mapping table, the cleanliness requirement levels are provided with four levels, and the order of the cleanliness requirements from high to low according to the cleanliness requirement levels corresponds to the following steps in sequence: the first preset level, the second preset level, the third preset level and the fourth preset level.
3. The method according to claim 2, wherein in the operation matching degree verification of the operation name and the illness state text information, specifically comprising:
Setting the surgery matching degree corresponding to the surgery name to be 0;
based on a preset illness state database, matching a corresponding preset illness state keyword set and a corresponding preset matching threshold according to the operation name;
traversing the preset disease keyword set in sequence, and accumulating the operation matching degree by 1 if the currently traversed preset disease keywords exist in the disease text information;
After traversing the preset disease keyword set, if the surgery matching degree is greater than or equal to a preset matching threshold, checking successfully, otherwise, checking failed;
in a preset condition database, each surgical name has a corresponding preset condition keyword set and a preset matching threshold.
4. A method according to claim 3, characterized in that in constructing the policy database, it specifically comprises:
collecting the equipment models of all air conditioning units;
Establishing corresponding air-conditioning control rules in a strategy database according to the equipment model, wherein the air-conditioning control rules comprise air-conditioning control strategies corresponding to different cleanliness requirement levels, and the air-conditioning control strategies are used for determining configuration parameters of each clean processing link;
Setting sharable rights for the IP address of each edge server based on the region ID, wherein each region ID corresponds to the IP address of one edge server;
When the strategy database is updated, judging whether the IP address initiating the update request has sharable authority, if so, sending a data copy of the strategy database to the IP address, and if not, not processing.
5. The method as set forth in claim 4, wherein in the grouping binding of each air conditioning unit with the corresponding grid area point by the position matching, specifically comprising:
determining boundary information of all edge servers;
grouping and binding are carried out on the basis of hospital nodes to obtain a plurality of node cluster tables, and the method specifically comprises the following steps: sequentially traversing all the equipment lists of the hospital nodes, determining the node IDs corresponding to the currently traversed hospital nodes based on the equipment list of the currently traversed hospital nodes, and sequentially adding all the equipment IDs in the equipment list into the node cluster table corresponding to the node IDs until a plurality of node cluster tables are obtained after the traversing is finished;
The equipment list of each hospital node corresponds to the node ID, each node ID has corresponding positioning information, the equipment list of each hospital node comprises the equipment ID corresponding to each air conditioning unit and the equipment model corresponding to each air conditioning unit, and further the air conditioning units belonging to the same hospital node have the same positioning information;
and carrying out grouping binding on the node cluster tables based on the boundary information of the edge server so as to obtain a plurality of regional cluster tables.
6. The method of claim 5, wherein the method further comprises, in an edge server:
in response to receiving the surgical cleaning record information, updating the running accumulated time length and the filter element use accumulated time length based on the equipment ID in the equipment use record table;
in response to receiving the node air conditioner control request, further comprising: performing a regional equipment maintenance analysis response;
In response to receiving the maintenance completion information, resetting an operation accumulated duration based on the device ID in the device usage record table;
Resetting the accumulated filter element use duration based on the equipment ID in the equipment use record table in response to receiving the core replacement completion information;
the equipment use record table is used for recording the running accumulated time length and the filter element use accumulated time length of each equipment ID;
The surgical clean record information is triggered and generated when any surgical task is completed, and comprises: device ID, task run length.
7. The method of claim 6, wherein in performing a regional equipment maintenance analysis response, specifically comprising:
traversing the surgical demand plan list, and then traversing each surgical task in turn;
Determining the operation demand time of each operation task;
Summarizing and counting the surgical tasks using the same equipment ID to obtain the total operation demand time;
based on a pre-stored maintenance time length schedule, matching a corresponding preset maintenance time length threshold value and a corresponding preset filter element use time length threshold value according to the equipment model corresponding to each equipment ID;
Determining maintenance analysis results based on the total operation demand time and a preset maintenance time threshold, wherein each maintenance analysis result corresponds to a unique equipment ID, and the maintenance analysis result is a mark needing to be maintained or a mark needing to be maintained;
determining a filter element analysis result based on the total operation demand time and a preset filter element use time threshold value, wherein each filter element analysis result corresponds to a unique equipment ID, and the filter element analysis result is a mark needing to be replaced or a mark needing to be replaced;
when the operation demand plan list is traversed, combining a maintenance analysis result and a filter element analysis result, screening equipment IDs based on the marks needing maintenance and the marks needing core replacement to generate an equipment maintenance early warning list, and marking the corresponding marks needing maintenance and the marks needing core replacement;
traversing the equipment to maintain an early warning list, and packaging the equipment IDs into groups based on the node IDs and sending the groups to corresponding groups.
8. The method of claim 7, wherein in determining the length of time required to run each surgical task, specifically comprising: determining the sub-demand time length of each clean processing link based on the operation task matching corresponding air conditioner control strategy, and obtaining the operation demand time length of the operation task by accumulating the sub-demand time lengths of the clean processing links, wherein the operation demand time length is specifically expressed as:
Tneed(j)＝Tprocess1(j)+Tprocess2(j)+Tprocess3(j)+Tprocess4(j)+Tprocess5(j)
T need(i) represents the operation demand time of the jth operation task, T process1 (j) represents the demand time corresponding to the jth operation task in the fresh air treatment link, T process2 (j) represents the demand time corresponding to the jth operation task in the temperature and humidity regulation link, T process3 (j) represents the demand time corresponding to the jth operation task in the air circulation link, T process4 (j) represents the demand time corresponding to the jth operation task in the air purification link, and T process5 (j) represents the demand time corresponding to the jth operation task in the air exhaust link;
The method specifically comprises the following steps of:
Calculating the total estimated running duration, which specifically comprises the following steps:
T_pre 1 (k) represents the total estimated duration of operation corresponding to the kth device ID, T_total 1 (k) represents the accumulated duration of operation corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
And performing maintenance analysis, setting a maintenance analysis result corresponding to the equipment ID as a maintenance-required mark if the running total estimated time length corresponding to the equipment ID analyzed currently exceeds a preset maintenance time length threshold, and setting the maintenance analysis result corresponding to the equipment ID as a maintenance-unnecessary mark otherwise.
9. The method of claim 8, wherein determining the filter element analysis result in the running total demand time and the preset filter element use time threshold specifically comprises:
calculating the total estimated duration of the filter element, which specifically comprises the following steps:
t_pre 2 (k) represents the total estimated duration of filter element use corresponding to the kth device ID, T_total 2 (k) represents the accumulated duration of filter element use corresponding to the kth device ID, and T_new_total (k) represents the total required duration of operation corresponding to the kth device ID;
performing core replacement analysis, setting a filter element analysis result corresponding to the equipment ID as a core replacement-required mark if the total estimated filter element use duration corresponding to the equipment ID analyzed at present exceeds a preset filter element use duration threshold, otherwise setting the filter element analysis result corresponding to the equipment ID as a core replacement-unnecessary mark;
the screening device ID based on the maintenance-required mark and the core-required mark specifically comprises the following steps: the device ID with the mark which is only required to be maintained or the mark which is only required to be replaced or both the mark which is required to be maintained and the mark which is required to be replaced is screened out and added into a device maintenance early warning list, and the device maintenance early warning list is used for prompting maintenance staff to timely maintain the air conditioning unit.
10. An air conditioning control system for intelligent hospitals, for performing the method of any one of claims 1 to 9, the system comprising: a first processing module and a second processing module,
In a first processing module, comprising:
the policy data sub-module is used for constructing a policy database;
the grouping binding sub-module is used for completing grouping binding between each air conditioning unit and the corresponding grid area point through position matching;
in a second processing module, comprising:
The air conditioner self-adaptive control sub-module is used for responding to the received node air conditioner control request and executing air conditioner self-adaptive control response;
in executing the air conditioner adaptive control response, specifically, the method includes:
traversing a surgical demand plan list, and carrying out demand analysis on surgical tasks with surgical change identifiers so as to match corresponding air conditioner control strategies;
Grouping and packaging all air conditioner control strategies according to the node ID and the equipment ID to obtain a plurality of strategy results;
Sending a strategy result based on the node ID;
In each strategy result, each strategy result corresponds to one node ID, and the first merging grouping is carried out according to the same node ID, and then the second merging grouping is carried out according to the same equipment ID, so that all air conditioner control strategies which are needed to be used by each equipment ID are determined;
The node air conditioner control request comprises a node ID and a surgical demand plan list corresponding to the node ID, wherein the surgical demand plan list comprises a plurality of surgical tasks, and each surgical task is provided with a corresponding task ID, a surgical name, an equipment ID and illness state text information.
CN202410113023.7A 2024-01-26 2024-01-26 Air conditioner control method and system for intelligent hospital Pending CN118149446A (en)

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