Operating room air conditioning system control method and system

Abstract

The present application relates to the field of intelligent control technology, and provides a method and system for controlling an operating room air-conditioning system, including: obtaining a surgery scheduling data table of a preset time window, which includes surgery time, surgery type, and operating room number; extracting data from a surgery record database in sequence to obtain multiple sets of historical surgery record data sets; extracting multiple sets of historical surgery durations to generate multiple sets of expected surgery durations; generating an operating room expected usage registration table based on the surgery scheduling data table and the multiple sets of expected surgery durations; obtaining multiple expected operating room schedules; monitoring unit energy consumption resources for multiple operating rooms; and controlling energy consumption of the operating room air-conditioning system based on the multiple expected operating room schedules and the multiple unit energy consumption resource monitoring results. This method can solve the problem of energy consumption and resource waste caused by irrational use of hospital operating room air-conditioning equipment, improve the control accuracy of hospital operating room air-conditioning equipment, and reduce energy loss.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and in particular to a method and system for controlling an operating room air-conditioning system. Background Art

[0002] Air conditioning is a hospital's primary electricity consumer, accounting for over half of its total annual energy consumption. Therefore, avoiding the waste of air conditioning resources is crucial for energy conservation and emissions reduction. Currently, air conditioning equipment in hospital operating rooms is typically kept on 24 / 7, without precise control based on operating room usage, significantly wasting energy resources.

[0003] In summary, the existing technology has the problem of irrational use of air-conditioning equipment in hospital operating rooms, which leads to waste of energy resources. Summary of the Invention

[0004] Based on this, it is necessary to provide an operating room air conditioning system control method and system to address the above technical problems.

[0005] The operating room air conditioning system control method comprises: connecting to the surgical management system of the target hospital, obtaining a surgical scheduling data table of a preset time window, wherein the surgical scheduling data table includes surgical time, surgical type, and operating room number; taking the surgical type as an index condition, sequentially extracting data from the surgical record database of the target hospital to obtain multiple sets of historical surgical record data sets, wherein the surgical type and the historical surgical record data sets have a corresponding relationship; extracting historical surgical durations from the multiple sets of historical surgical record data sets to generate multiple sets of expected surgical durations; and extracting the historical surgical durations from the multiple sets of historical surgical record data sets to generate multiple sets of expected surgical durations. The expected use registration form of the operating room within the preset time window is generated based on the length of the operation; the expected use registration form of the operating room is divided based on the operating room number to obtain multiple expected schedules of the operating room, and the expected schedules of the operating room include idle time periods and working time periods; the unit energy consumption resources of the multiple operating rooms are monitored according to the preset time window to obtain multiple unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include the operating room number, monitoring time, and unit energy consumption; the energy consumption of the operating room air-conditioning system is controlled based on the multiple expected schedules of the operating room and the multiple unit energy consumption resource monitoring results.

[0006] Operating room air conditioning system control system, including:

[0007] A surgery scheduling data table acquisition module, which is used to connect to the target hospital's surgery management system and obtain a surgery scheduling data table for a preset time window, wherein the surgery scheduling data table includes surgery time, surgery type, and operating room number;

[0008] a historical surgery record data set acquisition module, the historical surgery record data set acquisition module being configured to sequentially extract data from the target hospital's surgery record database using the surgery type as an index condition to obtain multiple sets of historical surgery record data sets, wherein the surgery type and the historical surgery record data sets have a corresponding relationship;

[0009] An expected operation duration generation module, the expected operation duration generation module is used to extract historical operation durations from multiple sets of historical operation record data sets to generate multiple sets of expected operation durations;

[0010] an operating room expected usage registration form generating module, the operating room expected usage registration form generating module being used to generate an operating room expected usage registration form within the preset time window based on the surgery scheduling data table and a plurality of sets of expected surgery durations;

[0011] an operating room expected schedule obtaining module, the operating room expected schedule obtaining module being used to divide the operating room expected use registration table based on the operating room number to obtain a plurality of operating room expected schedules, the operating room expected schedules including idle time periods and working time periods;

[0012] a unit energy consumption resource monitoring module, the unit energy consumption resource monitoring module being used to perform unit energy consumption resource monitoring on a plurality of operating rooms according to the preset time window, and obtain a plurality of unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include an operating room number, a monitoring time, and a unit energy consumption amount;

[0013] An energy consumption control module is used to control the energy consumption of the operating room air-conditioning system based on multiple expected operating room schedules and multiple unit energy consumption resource monitoring results.

[0014] The above-mentioned operating room air-conditioning system control method and system can solve the problem of energy consumption and resource waste caused by unreasonable use of air-conditioning equipment in hospital operating rooms. By connecting to the surgical management system of the target hospital, a surgical scheduling data table of a preset time window is obtained, wherein the surgical scheduling data table includes surgical time, surgical type, and operating room number; with the surgical type as the index condition, data is extracted from the surgical record database of the target hospital in turn to obtain multiple sets of historical surgical record data sets, wherein the surgical type and the historical surgical record data sets have a corresponding relationship; the historical surgical duration in the multiple sets of historical surgical record data sets is extracted to generate multiple sets of expected surgical time. long; based on the surgery scheduling data table and multiple groups of expected surgery durations, generate an operating room expected usage registration table within the preset time window; divide the operating room expected usage registration table based on the operating room number to obtain multiple operating room expected schedules, each of which includes an idle period and a working period; perform unit energy consumption resource monitoring on multiple operating rooms according to the preset time window to obtain multiple unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include the operating room number, monitoring time, and unit energy consumption; and perform energy consumption control on the operating room air conditioning system based on the multiple operating room expected schedules and the multiple unit energy consumption resource monitoring results. This can improve the control accuracy of hospital operating room air conditioning equipment and reduce energy loss.

[0015] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of a method for controlling an operating room air conditioning system is provided for this application;

[0017] Figure 2 This application provides a flow chart of generating multiple sets of expected operation times in a method for controlling an operating room air conditioning system;

[0018] Figure 3 This application provides a flow chart of obtaining a preset unit energy consumption threshold in a method for controlling an operating room air-conditioning system;

[0019] Figure 4 A structural diagram of an operating room air conditioning system control system is provided for this application.

[0020] Explanation of the accompanying symbols: surgical scheduling data table acquisition module 1, historical surgical record data set acquisition module 2, expected surgical duration generation module 3, operating room expected usage registration form generation module 4, operating room expected scheduling table acquisition module 5, unit energy consumption resource monitoring module 6, energy consumption control module 7. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0022] like Figure 1 As shown, the present application provides a method for controlling an operating room air conditioning system, comprising:

[0023] Step S100: Connecting to the target hospital's surgery management system to obtain a surgery scheduling data table for a preset time window, wherein the surgery scheduling data table includes surgery time, surgery type, and operating room number;

[0024] Specifically, hospital operating room air conditioning is the most power-consuming equipment in the operating room. Therefore, how to scientifically and rationally implement intelligent management and control of the operating room air conditioning system is crucial for the hospital's energy conservation and emission reduction. The method provided in this application is used to accurately control the hospital operating room air conditioning system, thereby reducing the hospital's energy consumption and resource waste.

[0025] First, connect to the surgical management system of the target hospital. The target hospital is the hospital where operating room air conditioning energy consumption control is to be performed. The surgical management system stores registered surgical schedule information, such as anesthesia schedules, surgical procedures, and postoperative care. The surgical management system extracts surgical scheduling data within a preset time window at the target hospital to obtain a surgical scheduling data table. Those skilled in the art can customize the preset time window based on actual circumstances, such as a week or a month. The surgical scheduling data table includes the surgical time, surgical type, and operating room number. The surgical time refers to the start time of the surgery, for example, "This surgery is scheduled for 8:00 AM on Tuesday." Surgery types include general surgery, thoracic surgery, orthopedic surgery, and cardiovascular surgery, and different types of surgery have different operating times. The operating room number is the numerical identifier of each operating room. Since tertiary hospitals have a large number of operating rooms (typically 40-80), setting the operating room number allows for faster and more accurate location of the operating room. By obtaining the surgical scheduling data table, we can accurately understand the surgical arrangement information within the preset time window, providing support for the precise control of the operating room air-conditioning system.

[0026] Step S200: using the surgery type as an index condition, sequentially extracting data from the surgery record database of the target hospital to obtain multiple sets of historical surgery record data, wherein the surgery type and the historical surgery record data sets have a corresponding relationship;

[0027] Specifically, the surgical types in the surgical scheduling data table are extracted to obtain multiple surgical types. Based on the multiple surgical types, historical surgical record data in the surgical record database of the target hospital is sequentially extracted. The surgical record database refers to a database used to store information about completed historical surgeries. Multiple sets of historical surgical record data are obtained. The historical surgical record data sets include information related to the surgical process, such as anesthesia method, surgical method, and surgeon, wherein the surgical type and the historical surgical record data sets have a one-to-one correspondence. By obtaining multiple sets of historical surgical record data sets, data support is provided for the next step of obtaining the expected surgical duration.

[0028] Step S300: extracting historical operation durations from multiple sets of historical operation record data sets to generate multiple sets of expected operation durations;

[0029] like Figure 2 As shown, in one embodiment, step S300 of the present application further includes:

[0030] Step S310: extracting historical operation durations from the multiple sets of historical operation record data sets in sequence to obtain multiple sets of historical operation durations;

[0031] Step S320: performing mean processing on the i-th group of historical surgery duration sets among the multiple groups of historical surgery duration sets to obtain the mean value of the i-th group of surgery duration;

[0032] Step S330: judging the difference between the i-th historical operation duration in the i-th group and the mean operation duration of the i-th group in turn according to the preset confidence judgment interval;

[0033] Step S340: taking the historical operation duration corresponding to the difference that satisfies the preset confidence judgment interval as the normal historical operation duration, and obtaining the i-th group of normal historical operation duration sets;

[0034] Step S350: taking the mean operation duration of the i-th group of normal historical operation durations as the expected operation duration of the i-th group, and generating multiple groups of the expected operation durations.

[0035] Specifically, the historical operation durations in the multiple groups of historical operation record data sets are extracted in sequence to obtain multiple groups of historical operation duration sets, wherein the historical operation duration sets have a corresponding relationship with the operation types. A group of historical operation duration sets is randomly selected from the multiple groups of historical operation duration sets and recorded as the i-th group of historical operation duration sets, and the historical operation durations in the i-th group of historical operation duration sets are averaged to obtain the i-th group of operation duration mean. A preset confidence judgment interval is obtained, and the preset confidence judgment interval can be customized by those skilled in the art based on actual conditions, for example: plus or minus 3 minutes. The historical operation durations in the i-th group of historical operation duration sets are sequentially subtracted from the i-th group of operation duration mean to obtain the i-th group of duration difference.

[0036] The i-th group of duration differences is then judged based on the preset confidence interval. When the duration difference falls within the preset confidence interval, the historical surgery duration corresponding to the duration difference is marked as normal historical surgery duration, thereby obtaining the i-th group of normal historical surgery duration sets. When the duration difference does not fall within the preset confidence interval, the historical surgery duration corresponding to the duration difference is marked as abnormal historical surgery duration, and the abnormal surgery duration data is discarded. The normal historical surgery durations in the i-th group of normal historical surgery duration sets are averaged to obtain the i-th group of normal historical surgery duration mean, which is used as the i-th group of expected surgery durations. Expected surgery durations are then calculated sequentially to obtain multiple groups of expected surgery durations, each of which corresponds to the surgery type. By setting a confidence interval to judge historical surgery durations and discarding abnormal historical surgery duration data that does not meet the confidence interval, the accuracy of obtaining expected surgery durations can be improved.

[0037] Step S400: generating an operating room expected usage registration table within the preset time window based on the surgery scheduling data table and multiple sets of expected surgery durations;

[0038] Step S500: dividing the expected operating room usage registration table based on the operating room numbers to obtain a plurality of expected operating room schedules, wherein the expected operating room schedules include idle time periods and working time periods;

[0039] Specifically, according to the type of surgery, multiple groups of the expected surgery duration are fused with the surgery scheduling data table, that is, the expected surgery duration is added to the surgery scheduling data table, and the expected use registration table of the operating room within the preset time window is obtained, and the expected use registration table of the operating room includes: operating room number, surgery start time, and expected surgery duration. Then, the expected use registration table of the operating room is divided according to the operating room number, that is, the expected scheduling information of each operating room is obtained, and the expected scheduling information includes the idle time period and working time period of the operating room. The expected scheduling table of the operating room is obtained based on the idle time period and working time period of the operating room, and the expected scheduling table of multiple operating rooms is further obtained. By obtaining the expected scheduling table of the operating room, support is provided for the next step of precise control of the operating room air-conditioning equipment.

[0040] Step S600: performing unit energy consumption resource monitoring on a plurality of operating rooms according to the preset time window to obtain a plurality of unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include the operating room number, monitoring time, and unit energy consumption;

[0041] Specifically, multiple energy consumption monitoring nodes are set within the preset time window. The energy consumption monitoring nodes can be customized based on actual conditions. For example, a monitoring node is set every 30 minutes. The electricity meters of multiple operating rooms are monitored in real time based on the multiple energy consumption monitoring nodes to obtain multiple unit energy consumption monitoring results. The unit energy consumption monitoring results include the operating room number, monitoring time, and unit energy consumption. The unit energy consumption refers to the difference in energy consumption between the current energy consumption monitoring node and the most recent historical energy consumption monitoring node. By obtaining multiple unit energy consumption resource monitoring results, support is provided for the next step of energy consumption control of the operating room air-conditioning system.

[0042] Step S700: performing energy consumption control on the operating room air-conditioning system based on the plurality of expected operating room schedules and the plurality of unit energy consumption resource monitoring results.

[0043] In one embodiment, step S700 of the present application further includes:

[0044] Step S710: Matching the multiple unit energy consumption resource monitoring results with the multiple expected schedules of the operating rooms according to the operating room numbers;

[0045] Step S720: when the monitoring time is in the idle period, determining the unit energy consumption;

[0046] Step S730: When the unit energy consumption is greater than 0, generating first energy consumption warning information;

[0047] Step S740: Based on the operating room number and the first energy consumption warning information, energy consumption control is performed on the operating room air-conditioning equipment in the idle period.

[0048] Specifically, based on the operating room number, multiple unit energy consumption resource monitoring results and multiple expected operating room schedules are matched and integrated, that is, the current time period and unit energy consumption of each operating room at the current monitoring time node are obtained. Then, the current time monitoring node is judged. When the time period of the current time monitoring node and the time period of the most recent historical time monitoring node are in the idle time period, the unit energy consumption is judged. When the unit energy consumption is greater than 0, it means that the operating room is not working but air conditioning energy is being used. At this time, a first energy consumption warning message is generated. Then, based on the operating room number and the first energy consumption warning message, the operating room air conditioning equipment in the idle time period is shut down, thereby avoiding the waste of air conditioning energy resources in the idle time period. By generating the first energy consumption warning message, the energy waste of the operating room air conditioning in the idle time period can be promptly discovered and processed, which can improve the efficiency and accuracy of the operating room air conditioning energy consumption control in the idle time period.

[0049] In one embodiment, step S700 of the present application further includes:

[0050] Step S750: when the monitoring time is in the working period, obtaining a preset unit energy consumption threshold;

[0051] like Figure 3 As shown, in one embodiment, step S750 of the present application further includes:

[0052] Step S751: collecting the temperature and humidity outside the operating room based on the monitoring time to obtain outdoor temperature information and outdoor humidity information;

[0053] Step S752: Obtaining expected temperature information and expected humidity information in the operating room;

[0054] Step S753: generating a temperature deviation value according to the outdoor temperature information and the expected temperature information;

[0055] Step S754: generating a humidity deviation value according to the outdoor humidity information and the expected humidity information;

[0056] Specifically, when the time period of the current time monitoring node and the time period of the most recent historical time monitoring node are in the working time period, it is necessary to call the preset unit energy consumption threshold. First, the temperature and humidity of the outdoor area of ​​the operating room are collected in real time through the temperature sensor and the humidity sensor according to the monitoring time node. The outdoor area of ​​the operating room refers to the area around the hospital, and the outdoor temperature information and the outdoor humidity information are obtained. Then the expected temperature information and the expected humidity information in the operating room of the target hospital are obtained. The expected temperature information and the expected humidity information refer to the target temperature and target humidity that the operating room wants to achieve, wherein the expected temperature information and the expected humidity information can be customized based on actual conditions. Then the outdoor temperature is subtracted from the expected temperature to obtain a temperature deviation value, and the outdoor humidity is subtracted from the expected humidity to obtain a humidity deviation value. By obtaining the temperature deviation value and the humidity deviation value, data support is provided for the next step of obtaining the preset unit energy consumption threshold.

[0057] Step S755: generating the preset unit energy consumption threshold based on the temperature deviation value and the humidity deviation value.

[0058] In one embodiment, step S755 of the present application further includes:

[0059] Step S7551: Based on the medical internet, a data query is performed using the operating room air conditioner type and specifications as information query conditions to obtain multiple sets of historical air conditioner usage data, wherein the historical air conditioner usage data includes historical temperature deviation values, historical humidity deviation values, and historical unit energy consumption;

[0060] Step S7552: constructing a unit energy consumption analysis model, and performing supervised training and verification on the unit energy consumption analysis model using multiple sets of the historical air conditioning usage data to obtain a trained unit energy consumption analysis model;

[0061] Step S7553: Input the temperature deviation value and the humidity deviation value into the unit energy consumption analysis model, and use the output result as the preset unit energy consumption threshold.

[0062] Specifically, the system connects to the medical internet, an internet-based information exchange platform for multiple general hospitals. Using the operating room air conditioner type and specifications as information query criteria, the system queries operating room air conditioner usage data, obtaining multiple sets of historical air conditioner usage data. The historical air conditioner usage data includes historical temperature deviation values, historical humidity deviation values, and historical unit energy consumption.

[0063] Based on the BP neural network, a unit energy consumption analysis model is constructed. The unit energy consumption analysis model is a neural network model that can be continuously iteratively optimized and obtained through supervised training. The input data of the unit energy consumption analysis model are temperature deviation values ​​and humidity deviation values, and the output data of the unit energy consumption analysis model is unit energy consumption. The historical temperature deviation values, the historical humidity deviation values, and the historical unit energy consumption are then used as model training data, and the model training data is divided into a training set and a validation set according to a certain ratio. The unit energy consumption analysis model is supervised and trained using the training set. When the model output results tend to be stable, the accuracy of the output results of the unit energy consumption analysis model is verified using the validation set. When the accuracy of the model output results is greater than the preset accuracy index, the trained unit energy consumption analysis model is obtained.

[0064] Finally, the temperature deviation value and the humidity deviation value are input into the unit energy consumption analysis model for energy consumption analysis, and the unit energy consumption is output as the preset unit energy consumption threshold. By constructing a unit energy consumption analysis model based on a neural network, the accuracy and efficiency of obtaining the preset unit energy consumption threshold can be improved.

[0065] Step S760: determining the unit energy consumption according to the preset unit energy consumption threshold;

[0066] Step S770: When the unit energy consumption is greater than the preset unit energy consumption threshold, generating second energy consumption warning information;

[0067] Step S780: Based on the operating room number and the second energy consumption warning information, energy consumption control is performed on the operating room air-conditioning equipment during the working period.

[0068] Specifically, the unit energy consumption is judged based on the preset unit energy consumption threshold. When the unit energy consumption is greater than the preset unit energy consumption threshold, it indicates that the operating room air conditioner is experiencing abnormal energy consumption during the working period. This may be due to equipment failure or unreasonable equipment operating parameter settings, and a second energy consumption warning message is generated. Energy consumption of the operating room air conditioner during the working period is controlled based on the operating room number and the second energy consumption warning message. The above method solves the problem of energy resource waste caused by unreasonable use of hospital operating room air conditioners, improves the control accuracy of hospital operating room air conditioners, and reduces energy loss.

[0069] In one embodiment, step S700 of the present application further includes:

[0070] Step S790: setting multiple air-conditioning backup power supplies for the operating room air-conditioning system;

[0071] Step S7100: Divide the plurality of backup power supplies into use areas according to the operating room numbers and the operating room location information, and generate a backup power supply calling plan;

[0072] Step S7110: When a power supply failure occurs in the operating room, a backup power supply is called based on the backup power supply calling scheme.

[0073] Specifically, the operating room air conditioning system is configured with multiple backup power supplies. These backup power supplies prioritize reliable and low-noise power supplies, such as batteries. These backup power supplies are then divided into zones based on the operating room number and location. Specifically, these backup power supplies are allocated based on proximity, for example, multiple operating rooms on the same floor share a single backup power supply. This generates a backup power supply allocation plan. This allocation plan can be customized based on actual circumstances. For example, the first option uses the assigned backup power supply; the second option involves activating a second backup power supply, such as one on an adjacent floor, when the assigned backup power supply is unavailable. In the event of a power failure in the operating room, such as a power outage or short circuit, the backup power supply is allocated according to the allocation plan. By configuring backup power supplies, the stability of the operating room air conditioning system can be improved, thereby ensuring a stable surgical environment and indirectly enhancing surgical quality.

[0074] In one embodiment, Figure 4 The present invention provides an operating room air conditioning system control system, including: a surgery scheduling data table acquisition module 1, a historical surgery record data set acquisition module 2, an expected surgery time generation module 3, an operating room expected usage registration form generation module 4, an operating room expected scheduling table acquisition module 5, a unit energy consumption resource monitoring module 6, and an energy consumption control module 7, wherein:

[0075] A surgery scheduling data table acquisition module 1 is used to connect to the target hospital's surgery management system and obtain a surgery scheduling data table for a preset time window, wherein the surgery scheduling data table includes surgery time, surgery type, and operating room number;

[0076] a historical surgery record data set acquisition module 2, configured to sequentially extract data from the target hospital's surgery record database using the surgery type as an index condition to obtain multiple sets of historical surgery record data sets, wherein the surgery type and the historical surgery record data sets have a corresponding relationship;

[0077] An expected operation duration generation module 3 is used to extract historical operation durations from multiple sets of historical operation record data sets to generate multiple sets of expected operation durations;

[0078] An operating room expected usage registration form generating module 4, the operating room expected usage registration form generating module 4 is used to generate an operating room expected usage registration form within the preset time window based on the surgery scheduling data table and multiple sets of expected surgery durations;

[0079] An operating room expected schedule obtaining module 5, the operating room expected schedule obtaining module 5 is used to divide the operating room expected use registration table based on the operating room number to obtain multiple operating room expected schedules, the operating room expected schedules including idle time periods and working time periods;

[0080] a unit energy consumption resource monitoring module 6, the unit energy consumption resource monitoring module 6 being configured to monitor the unit energy consumption resources of a plurality of operating rooms according to the preset time window, and obtain a plurality of unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include the operating room number, the monitoring time, and the unit energy consumption;

[0081] The energy consumption control module 7 is used to control the energy consumption of the operating room air-conditioning system based on the multiple expected operating room schedules and the multiple unit energy consumption resource monitoring results.

[0082] In one embodiment, the system further comprises:

[0083] A historical surgery duration extraction module is used to sequentially extract historical surgery durations from multiple sets of historical surgery record data sets to obtain multiple sets of historical surgery durations;

[0084] a mean processing module, configured to perform mean processing on an i-th set of historical surgery durations among the plurality of sets of historical surgery durations to obtain a mean value of the i-th set of surgery durations;

[0085] A difference judgment module is used to judge the difference between the i-th historical operation duration in the i-th group and the mean operation duration of the i-th group in sequence according to a preset confidence judgment interval;

[0086] a normal historical surgery duration set acquisition module, the normal historical surgery duration set acquisition module being configured to take the historical surgery duration corresponding to the difference satisfying the preset confidence judgment interval as the normal historical surgery duration, and obtain the i-th group of normal historical surgery duration sets;

[0087] An expected operation duration generation module is used to take the average operation duration of the i-th group of normal historical operation durations as the expected operation duration of the i-th group, and generate multiple groups of the expected operation durations.

[0088] In one embodiment, the system further comprises:

[0089] An information matching module, configured to match a plurality of unit energy consumption resource monitoring results with a plurality of expected operating room schedules according to the operating room numbers;

[0090] a unit energy consumption determination module, configured to determine the unit energy consumption when the monitoring time is in the idle period;

[0091] a first energy consumption warning information generating module, configured to generate first energy consumption warning information when the unit energy consumption is greater than 0;

[0092] An energy consumption control module is used to control the energy consumption of the operating room air-conditioning equipment in the idle period based on the operating room number and the first energy consumption warning information.

[0093] In one embodiment, the system further comprises:

[0094] A preset unit energy consumption threshold value acquisition module, wherein the preset unit energy consumption threshold value acquisition module is used to obtain the preset unit energy consumption threshold value when the monitoring time is in the working period;

[0095] a unit energy consumption determination module, configured to determine the unit energy consumption based on the preset unit energy consumption threshold;

[0096] a second energy consumption warning information generating module, the second energy consumption warning information generating module being configured to generate second energy consumption warning information when the unit energy consumption is greater than the preset unit energy consumption threshold;

[0097] An energy consumption control module is used to control the energy consumption of the operating room air-conditioning equipment during the working period based on the operating room number and the second energy consumption warning information.

[0098] In one embodiment, the system further comprises:

[0099] An outdoor information collection module, the outdoor information collection module is used to collect the outdoor temperature and humidity outside the operating room based on the monitoring time to obtain outdoor temperature information and outdoor humidity information;

[0100] An indoor expected information obtaining module, wherein the indoor expected information obtaining module is used to obtain expected temperature information and expected humidity information in the operating room;

[0101] a temperature deviation value generating module, the temperature deviation value generating module being configured to generate a temperature deviation value according to the outdoor temperature information and the expected temperature information;

[0102] a humidity deviation value generating module, the humidity deviation value generating module being configured to generate a humidity deviation value according to the outdoor humidity information and the expected humidity information;

[0103] A preset unit energy consumption threshold generation module is configured to generate the preset unit energy consumption threshold based on the temperature deviation value and the humidity deviation value.

[0104] In one embodiment, the system further comprises:

[0105] a historical air conditioning usage data acquisition module, the module being used to perform data query based on the medical internet, using the operating room air conditioning type and specifications as information query conditions, to obtain multiple sets of historical air conditioning usage data, the historical air conditioning usage data including historical temperature deviation values, historical humidity deviation values, and historical unit energy consumption;

[0106] a unit energy consumption analysis model acquisition module, wherein the unit energy consumption analysis model acquisition module is used to construct a unit energy consumption analysis model, and supervise and verify the unit energy consumption analysis model through multiple sets of historical air conditioning usage data to obtain a trained unit energy consumption analysis model;

[0107] A preset unit energy consumption threshold output module is used to input the temperature deviation value and the humidity deviation value into the unit energy consumption analysis model, and output the result as the preset unit energy consumption threshold.

[0108] In one embodiment, the system further comprises:

[0109] An air conditioning backup power supply setting module, which is used to set multiple air conditioning backup power supplies for the operating room air conditioning system;

[0110] A backup power supply calling plan generating module, the backup power supply calling plan generating module is used to divide the use areas of the plurality of backup power supplies according to the operating room number and the operating room location information, and generate a backup power supply calling plan;

[0111] A backup power calling module is used to call a backup power supply based on the backup power calling scheme when a power supply failure occurs in the operating room.

[0112] In summary, the present application provides an operating room air conditioning system control method and system with the following technical effects:

[0113] 1. It solves the problem of energy consumption and resource waste caused by unreasonable use of air-conditioning equipment in hospital operating rooms, improves the control accuracy of air-conditioning equipment in hospital operating rooms, and reduces energy loss.

[0114] 2. By setting a confidence interval to judge the historical operation duration and discarding abnormal historical operation duration data that does not meet the confidence interval, the accuracy of the expected operation duration can be improved.

[0115] 3. By generating the first energy consumption warning information, the energy waste of the operating room air conditioner during the idle time period can be discovered and dealt with in a timely manner, which can improve the efficiency and accuracy of the energy consumption control of the operating room air conditioner during the idle time period.

[0116] 4. By constructing a unit energy consumption analysis model based on a neural network, the accuracy and efficiency of obtaining the preset unit energy consumption threshold can be improved.

[0117] 5. By setting up a backup power supply for the air conditioner, the stability of the operating room air conditioning equipment can be improved, thereby ensuring the stability of the surgical environment and indirectly improving the quality of surgery.

[0118] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0119] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for controlling an operating room air conditioning system, characterized in that: The method comprises: Connecting to the target hospital's surgery management system to obtain a surgery scheduling data table for a preset time window, wherein the surgery scheduling data table includes surgery time, surgery type, and operating room number; Using the surgery type as an index condition, sequentially extracting data from the surgery record database of the target hospital to obtain multiple sets of historical surgery record data, wherein the surgery type and the historical surgery record data sets have a corresponding relationship; Extracting historical operation durations from multiple sets of historical operation record data sets to generate multiple sets of expected operation durations; generating an operating room expected usage registration form within the preset time window based on the surgery scheduling data table and multiple sets of expected surgery durations; Dividing the expected operating room usage registration table based on the operating room numbers to obtain a plurality of expected operating room schedules, wherein the expected operating room schedules include idle time periods and working time periods; Performing unit energy consumption resource monitoring on multiple operating rooms according to the preset time window to obtain multiple unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include the operating room number, monitoring time, and unit energy consumption; Performing energy consumption control on the operating room air conditioning system based on the plurality of expected operating room schedules and the plurality of unit energy consumption resource monitoring results; The energy consumption control of the operating room air conditioning system based on the plurality of expected operating room schedules and the plurality of unit energy consumption resource monitoring results also includes: Matching the multiple unit energy consumption resource monitoring results with the multiple expected schedules of the operating rooms according to the operating room numbers; When the monitoring time is in the idle period, determining the unit energy consumption; When the unit energy consumption is greater than 0, generating a first energy consumption warning message; performing energy consumption control on the operating room air-conditioning equipment in the idle period based on the operating room number and the first energy consumption warning information; The method further comprises: When the monitoring time is in the working period, obtaining a preset unit energy consumption threshold; Determining the unit energy consumption according to the preset unit energy consumption threshold; When the unit energy consumption is greater than the preset unit energy consumption threshold, generating second energy consumption warning information; Energy consumption control is performed on the operating room air-conditioning equipment during the working period based on the operating room number and the second energy consumption warning information.

2. The method according to claim 1, wherein Generating multiple sets of expected operation durations further includes: Sequentially extracting historical operation durations from the plurality of sets of historical operation record data sets to obtain a plurality of sets of historical operation durations; Performing mean processing on the i-th group of historical surgery duration sets among the multiple groups of historical surgery duration sets to obtain the mean of the i-th group of surgery duration; According to the preset confidence interval, the difference between the i-th historical operation duration in the i-th group and the mean operation duration of the i-th group is judged in turn; The historical operation duration corresponding to the difference that meets the preset confidence judgment interval is taken as the normal historical operation duration, and the i-th group of normal historical operation duration is obtained; The average operation duration of the normal historical operation duration set of the i-th group is used as the expected operation duration of the i-th group, and multiple groups of the expected operation duration are generated.

3. The method according to claim 1, wherein The obtaining of the preset unit energy consumption threshold further includes: Collecting the outdoor temperature and humidity outside the operating room based on the monitoring time to obtain outdoor temperature information and outdoor humidity information; Obtaining expected temperature information and expected humidity information in the operating room; generating a temperature deviation value by using the outdoor temperature information and the expected temperature information; generating a humidity deviation value by using the outdoor humidity information and the expected humidity information; The preset unit energy consumption threshold is generated based on the temperature deviation value and the humidity deviation value.

4. The method according to claim 3, wherein The generating the preset unit energy consumption threshold based on the temperature deviation value and the humidity deviation value further includes: Based on the medical internet, data query is performed using the operating room air conditioner type and specifications as information query conditions to obtain multiple sets of historical air conditioner usage data, including historical temperature deviation values, historical humidity deviation values, and historical unit energy consumption; Constructing a unit energy consumption analysis model, and performing supervised training and verification on the unit energy consumption analysis model using multiple sets of the historical air conditioning usage data to obtain a trained unit energy consumption analysis model; The temperature deviation value and the humidity deviation value are input into the unit energy consumption analysis model, and the output result is used as the preset unit energy consumption threshold.

5. The method according to claim 1, wherein The method further comprises: Set up multiple air conditioning backup power supplies for the operating room air conditioning system; Divide the use areas of the plurality of backup power supplies according to the operating room numbers and the operating room location information, and generate a backup power supply calling plan; When a power supply failure occurs in the operating room, a backup power supply call is performed based on the backup power supply call solution.

6. Operating room air conditioning system control system, characterized in that, A method for controlling an operating room air conditioning system according to any one of claims 1 to 5, wherein the system comprises: A surgery scheduling data table acquisition module, which is used to connect to the target hospital's surgery management system and obtain a surgery scheduling data table for a preset time window, wherein the surgery scheduling data table includes surgery time, surgery type, and operating room number; a historical surgery record data set acquisition module, the historical surgery record data set acquisition module being configured to sequentially extract data from the target hospital's surgery record database using the surgery type as an index condition to obtain multiple sets of historical surgery record data sets, wherein the surgery type and the historical surgery record data sets have a corresponding relationship; An expected operation duration generation module, the expected operation duration generation module is used to extract historical operation durations from multiple sets of historical operation record data sets to generate multiple sets of expected operation durations; an operating room expected usage registration form generating module, the operating room expected usage registration form generating module being used to generate an operating room expected usage registration form within the preset time window based on the surgery scheduling data table and a plurality of sets of expected surgery durations; an operating room expected schedule obtaining module, the operating room expected schedule obtaining module being used to divide the operating room expected use registration table based on the operating room number to obtain a plurality of operating room expected schedules, the operating room expected schedules including idle time periods and working time periods; a unit energy consumption resource monitoring module, the unit energy consumption resource monitoring module being used to perform unit energy consumption resource monitoring on a plurality of operating rooms according to the preset time window, and obtain a plurality of unit energy consumption resource monitoring results, wherein the unit energy consumption resource monitoring results include an operating room number, a monitoring time, and a unit energy consumption amount; An energy consumption control module is used to control the energy consumption of the operating room air-conditioning system based on multiple expected operating room schedules and multiple unit energy consumption resource monitoring results.

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