CN117663351B - Integrated control system of outdoor large-sized air conditioner - Google Patents
Integrated control system of outdoor large-sized air conditioner Download PDFInfo
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Abstract
The invention discloses an integrated control system of an outdoor large-sized air conditioner, belonging to the technical field of air conditioner control; by carrying out real-time record statistics and data processing on the external operation environment and the indoor application environment during operation of the outdoor air conditioner, the monitored external environment temperature and the total people flow of different floors in different time periods can be intuitively displayed, the abnormal external environment temperature of monitoring and analysis is tracked and verified in a mode of adjusting a basic traceability monitoring period, the stability analysis effect of the abnormal external environment temperature can be effectively improved, the stability of people flow influence types of different floors is tracked and analyzed, and the stable continuous state of the people flow influence types of different floors can be obtained; the invention is used for solving the technical problems of poor monitoring effect of the service life of the outdoor large-sized air conditioner and poor control effect of the local running state of different position areas in the prior art.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to an integrated control system of an outdoor large-sized air conditioner.
Background
Outdoor large air conditioners are generally referred to as industrial grade air conditioning systems for outdoor sites or large buildings, and these air conditioners are generally characterized by a strong cooling capacity and adaptability to various environmental conditions.
When the existing integrated control scheme of the outdoor large-sized air conditioner is implemented, most of the integrated control scheme stays in the indoor aspect of the application of the air conditioner to perform data acquisition and analysis control, no omnibearing and periodic monitoring analysis is implemented on the real-time operation of the outdoor large-sized air conditioner from different aspects, and dynamic control is implemented on the whole operation and individual operation of the outdoor large-sized air conditioner according to the result of the periodic monitoring analysis to improve the service life of the operation of the air conditioner and the dynamic regulation and control of the temperature of different application areas, so that the monitoring effect of the service life of the outdoor large-sized air conditioner is poor and the control effect of the local operation state of different position areas is poor.
Disclosure of Invention
The invention aims to provide an integrated control system of an outdoor large-sized air conditioner, which is used for solving the technical problems of poor supervision effect of the operation life of the outdoor large-sized air conditioner and poor control effect of local operation states of different position areas in the prior art.
The aim of the invention can be achieved by the following technical scheme:
an outdoor large-sized air conditioner integrated control system, comprising:
The outdoor operation environment monitoring and processing module is used for carrying out real-time recording statistics of operation external environment parameters on the external operation environment when the outdoor large-scale air conditioner operates, carrying out data processing on the operation external environment parameters which are recorded and counted in real time, carrying out external influence evaluation and tracking, obtaining analysis and processing data of the external environment parameters and uploading the analysis and processing data to the air conditioner control platform in real time;
The indoor application environment monitoring and processing module is used for carrying out real-time recording statistics of operation application environment parameters on the indoor application environment when the outdoor large-scale air conditioner operates, carrying out data processing on the indoor application environment parameters which are recorded and counted in real time, carrying out application influence evaluation and tracking, obtaining application environment parameter analysis and processing data and uploading the application environment parameter analysis and processing data to the air conditioner control platform in real time;
The air conditioner running state evaluation management control module is used for dynamically controlling the whole and individual running of different outdoor large-sized air conditioners according to the external environment parameter analysis processing data and the application environment parameter analysis processing data and synchronously prompting pushing running control to management personnel.
Preferably, a plurality of outdoor large-scale air conditioners are numbered and marked, monitoring statistics is carried out on starting operation time points and corresponding real-time environment temperatures when all the outdoor large-scale air conditioners start to operate, and the real-time environment temperatures which are monitored and counted are displayed and connected through a pre-built temperature coordinate system to obtain a real-time environment temperature curve;
When external influence assessment and tracking are carried out according to the real-time environment temperature curve, if the real-time environment temperature curve rises to a risk temperature interval, a temperature anomaly label is generated, and an anomaly occurrence time point corresponding to the temperature anomaly label is obtained.
Preferably, trace evaluation is performed on abnormal influence of the real-time environment temperature according to the temperature abnormal label, and in a basic trace monitoring period, the total number of times N of occurrence of the real-time environment temperature curve in a risk temperature interval is counted, and the occurrence area Si enclosed by the real-time environment temperature curve and a temperature warning straight line in a risk temperature area each time, i=1, 2,3, … … and N; n is a positive integer; by periodic environmental influence formulaCalculating and obtaining a periodic environment influence coefficient delta of a real-time environment temperature curve in a basic traceability monitoring period; wherein T is the total monitoring duration of the traceable monitoring period;
When evaluating the influence of the real-time environment temperature curve in the risk temperature interval according to the periodic environment influence coefficient, if the periodic environment influence coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic low influence label; and if the periodic environment influence coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence label.
Preferably, the adjustment tracing monitoring period is obtained by shortening the monitoring time length of the basic tracing monitoring period according to the period high influence label, the total number of occurrences of the real-time environment temperature curve in the risk temperature interval and the occurrence area enclosed by the real-time environment temperature curve and the temperature warning straight line in the risk temperature area are counted according to the adjustment tracing monitoring period, and the period environment influence verification coefficient delta' of the real-time environment temperature curve in the adjustment tracing monitoring period is obtained through calculation according to a period environment influence formula.
Preferably, when stability evaluation is implemented on the periodic high-influence state corresponding to the real-time environmental temperature curve according to the periodic environment influence verification coefficient, if the periodic environment influence verification coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic high-influence fluctuation label; if the periodic environment influence verification coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence stable tag;
The periodic high-influence fluctuation label or the periodic high-influence stable label forms high-influence stable traceability analysis data; the period low-influence label, the period high-influence label and the associated high-influence stable traceability analysis data form external environment parameter analysis processing data.
Preferably, different floors contained in an indoor application environment when the outdoor large-scale air conditioner operates are obtained and numbered, periodic statistics is carried out on the total people flow of the different floors according to preset people number monitoring time periods, and the total people flow corresponding to the different people number monitoring time periods of the different floors are respectively combined according to the Beijing time sequence to obtain a floor flow monitoring array alpha kj= [ Rk1, rk2, rk3, … …, rkj ]; k denotes different floors, k=1, 2,3, … …, m; m is a positive integer; j is different people monitoring periods, j=1, 2,3, … …, p; p is a positive integer; rkj is expressed as the total amount of people flow corresponding to different floors in different people number monitoring periods.
Preferably, when the people flow influence states of different people number monitoring periods of different floors are evaluated according to the floor flow monitoring array, the people flow influence degree beta corresponding to the different people number monitoring periods of different floors is obtained through calculation according to the formula beta=rkj/Mk; wherein Mk is the area of a public influence area corresponding to different floors; and when the corresponding people stream influence type is determined according to the people stream influence degree, comparing and classifying the people stream influence degree with the pre-stored people stream influence range in the database to obtain local people stream influence analysis data of the corresponding floor consisting of the low influence tag, the medium influence tag or the high influence tag in the people number monitoring period.
Preferably, when the stability of the people stream influence type of the corresponding floor is tracked according to the local people stream influence analysis data, counting the total number of different influence tags appearing in the people stream influence tracking period and arranging the different influence tags in a descending order, and analyzing the influence tags at the first arrangement position; wherein, the people flow influence evaluation period is formed by all people number monitoring periods corresponding to the subsequent M pieces of local people flow influence analysis data, and M is an odd number;
if the first influence label is a high influence label, a medium influence label or a low influence label, respectively generating a high influence stable label, a medium influence stable label or a low influence stable label;
the high-influence stable tag, the medium-influence stable tag or the low-influence stable tag forms local people stream influence tracking data;
The local people flow influence tracking data of the individual floors in different people flow influence tracking periods form a local people flow influence analysis data set; the real-time local people stream impact analysis data set of all floors forms application environment parameter analysis processing data.
Preferably, traversing the acquired real-time external environment parameter analysis processing data, and controlling all outdoor large air conditioners to reduce the operation load according to the cycle high-influence stable labels acquired by traversing in the real-time external environment parameter analysis processing data until the influence labels corresponding to the subsequent external environment parameter analysis processing data of all outdoor large air conditioners are cycle low-influence labels or cycle high-influence fluctuation labels.
Preferably, the acquired real-time application environment parameter analysis processing data is traversed, and the outdoor large-scale air conditioner implementation standard operation load, the first-class adjustment operation load or the second-class adjustment operation load of the corresponding floor is respectively controlled according to the high-influence stable tag, the medium-influence stable tag or the low-influence stable tag acquired by traversing in the real-time application environment parameter analysis processing data.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, by carrying out real-time recording statistics on the operation external environment parameters of the outdoor air conditioner during operation and carrying out data processing on the operation external environment parameters of the real-time recording statistics, the monitored external environment temperature can be intuitively displayed, meanwhile, reliable data support can be provided for monitoring analysis of the abnormal external environment temperature, the abnormal external environment temperature of the monitoring analysis is tracked and verified in a mode of adjusting a basic tracking monitoring period, the stability analysis effect of the abnormal external environment temperature can be effectively improved, reliable tracking data support can be provided for overall operation control of all subsequent outdoor air conditioners, and the diversity and reliability of monitoring data analysis and utilization in the aspect of the external environment of the outdoor air conditioner are improved.
According to the invention, the real-time recording statistics of the running application environment parameters is implemented on the indoor application environment when the outdoor large-scale air conditioner runs, and the data processing is carried out on the running application environment parameters which are recorded and counted in real time, so that the total people flow of different time periods of different floors can be intuitively displayed, meanwhile, reliable data support can be provided for people flow influence monitoring analysis of different time periods of different floors, the stability of the people flow influence types of different floors can be tracked and analyzed, the stable continuous state of the occurrence of the different people flow influence types of different floors can be obtained, reliable data support can be provided for the dynamic control of the running of the individual outdoor air conditioner corresponding to different floors, and the diversity and reliability of the indoor monitoring data analysis and utilization of the application of the outdoor air conditioner are improved.
The invention utilizes the parameter analysis processing data in different aspects to carry out self-adaptive active dynamic control on the whole and individual operation of different outdoor large-sized air conditioners, and can effectively improve the monitoring effect of the operation life of the outdoor large-sized air conditioners and the control effect of the local operation state of different position areas.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of an integrated control system for an outdoor large-sized air conditioner according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
As shown in FIG. 1, the invention relates to an outdoor large-scale air conditioner integrated control system, which comprises an outdoor operation environment monitoring and processing module, an indoor application environment monitoring and processing module, an air conditioner operation state evaluation management control module and an air conditioner control platform;
The outdoor operation environment monitoring and processing module is used for carrying out real-time recording statistics of operation external environment parameters on the external operation environment when the outdoor large-scale air conditioner operates, carrying out data processing on the operation external environment parameters which are recorded and counted in real time, carrying out external influence evaluation and tracking, obtaining analysis and processing data of the external environment parameters and uploading the analysis and processing data to the air conditioner control platform in real time; comprising the following steps:
numbering and marking a plurality of outdoor large-sized air conditioners, monitoring and counting starting-up operation time points and corresponding real-time environment temperatures when all the outdoor large-sized air conditioners start to operate, and displaying and connecting the monitored and counted real-time environment temperatures through a pre-built temperature coordinate system to obtain a real-time environment temperature curve;
It should be noted that, in the embodiment of the invention, the application scenario of the outdoor large air conditioner is a market in summer, the horizontal axis of the temperature coordinate system is real-time Beijing time, the vertical axis is a temperature value which increases at equal intervals, and the temperature difference value can be 0.5;
In addition, the monitoring position of the real-time environment temperature is determined according to the position of a fan radiating opening of the outdoor large-sized air conditioner;
when external influence assessment and tracking are carried out according to the real-time environment temperature curve, if the real-time environment temperature curve is in a safe temperature interval, a temperature safety label is generated;
If the real-time environment temperature curve rises to the risk temperature interval, generating a temperature anomaly tag and acquiring an anomaly occurrence time point corresponding to the temperature anomaly tag;
the safety temperature interval and the risk temperature interval are obtained by dividing a temperature coordinate system by a preset temperature warning straight line level, and the temperature warning straight line is determined according to design requirement parameters of the outdoor large-sized air conditioner;
Performing retrospective evaluation on abnormal influence of the temperature anomaly label on the real-time environment temperature, counting total times N of occurrence of a real-time environment temperature curve in a risk temperature interval in a basic retrospective monitoring period in which the unit of the basic retrospective monitoring period is minutes, and counting the occurrence area Si, i=1, 2,3, … … and N, which is enclosed by the real-time environment temperature curve and a temperature warning straight line in a risk temperature area each time; n is a positive integer; by periodic environmental influence formula Calculating and obtaining a periodic environment influence coefficient delta of a real-time environment temperature curve in a basic traceability monitoring period; wherein T is the total monitoring duration of the traceable monitoring period;
When evaluating the influence of the real-time environment temperature curve in the risk temperature interval according to the periodic environment influence coefficient, if the periodic environment influence coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic low influence label, wherein the periodic environment influence coefficient threshold value can be determined according to the design requirement parameter of the outdoor large-sized air conditioner or according to the corresponding historical temperature data when the outdoor large-sized air conditioner has a historical fault;
If the periodic environment influence coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence label, shortening the monitoring time length of a basic traceability monitoring period according to the periodic high influence label to obtain an adjustment traceability monitoring period, wherein the aim of the monitoring time length of the basic traceability monitoring period is to carry out traceability verification on the abnormal temperature condition, analyzing and evaluating the stability of the abnormal temperature, counting the total number of times of occurrence of a real-time environment temperature curve in a risk temperature interval according to the adjustment traceability monitoring period and calculating the occurrence area enclosed by the real-time environment temperature curve and a temperature warning straight line in a risk temperature area each time, and obtaining a periodic environment influence verification coefficient delta' of occurrence of the real-time environment temperature curve in the adjustment traceability monitoring period through a periodic environment influence formula;
When stability evaluation is carried out on the periodic high-influence state corresponding to the real-time environment temperature curve according to the periodic environment influence verification coefficient, if the periodic environment influence verification coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic high-influence fluctuation label;
If the periodic environment influence verification coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence stable tag;
The periodic high-influence fluctuation label or the periodic high-influence stable label forms high-influence stable traceability analysis data;
the period low-influence label, the period high-influence label and the associated high-influence stable traceability analysis data form external environment parameter analysis processing data.
The limiting temperature of the outdoor air conditioner in operation is different according to the brand, model, refrigerating capacity and other factors, but in general, most outdoor air conditioners still can normally operate when the outdoor temperature is up to about 45 ℃, and problems such as unstable operation, overload or failure can occur when the outdoor temperature exceeds 50 ℃; therefore, in summer high-temperature weather, the running condition of the outdoor air conditioner should be paid special attention to, and long-time overload operation is avoided;
In the embodiment of the invention, the real-time recording statistics of the operation external environment parameters is implemented on the external operation environment when the outdoor air conditioner operates, and the data processing is carried out on the operation external environment parameters which are recorded and counted in real time, so that the monitored external environment temperature can be intuitively displayed, meanwhile, reliable data support can be provided for monitoring analysis of the abnormal external environment temperature, the abnormal external environment temperature of the monitoring analysis is tracked and verified in a mode of adjusting a basic tracking monitoring period, the stability analysis effect of the abnormal external environment temperature can be effectively improved, reliable tracking data support can be provided for the overall operation control of all subsequent outdoor air conditioners, and the diversity and reliability of monitoring data analysis and utilization in the aspect of the external environment of the outdoor air conditioner are improved.
The indoor application environment monitoring and processing module is used for carrying out real-time recording statistics of operation application environment parameters on the indoor application environment when the outdoor large-scale air conditioner operates, carrying out data processing on the indoor application environment parameters which are recorded and counted in real time, carrying out application influence evaluation and tracking, obtaining application environment parameter analysis and processing data and uploading the application environment parameter analysis and processing data to the air conditioner control platform in real time; comprising the following steps:
Acquiring indoor application environments when an outdoor large-sized air conditioner operates, numbering and marking different floors of the indoor application environments, and periodically counting the total people flow of different floors according to preset people number monitoring time periods, wherein the unit of the people number monitoring time periods is minutes, specific numerical values can be determined according to the different historical people flow total amounts of different historic times, and the people flow total amounts corresponding to the different people number monitoring time periods of different floors are respectively combined according to the Beijing time sequence to obtain a floor flow monitoring array alpha kj= [ Rk1, rk2, rk3, … … and Rkj ]; k denotes different floors, k=1, 2,3, … …, m; m is a positive integer; j is different people monitoring periods, j=1, 2,3, … …, p; p is a positive integer; rkj is expressed as the total people flow corresponding to different floors in different people number monitoring periods;
When the people flow influence states of different people number monitoring periods of different floors are evaluated according to the floor flow monitoring array, the people flow influence degree beta corresponding to the different people number monitoring periods of different floors is obtained through calculation according to the formula beta=Rkj/Mk; wherein Mk is the area of a public influence area corresponding to different floors; when the corresponding people stream influence type is determined according to the people stream influence degree, the people stream influence degree is compared with a pre-stored people stream influence range in a database for classification; the influence range of the people stream is determined according to the maximum value and the minimum value of the total historical people stream, and meanwhile, self-adaptive adjustment and correction are carried out according to the operation requirements of the actual application scene;
If the influence degree of the people flow is smaller than the minimum value of the influence range of the people flow, judging that the influence type of the people flow of the corresponding floor in the people number monitoring period is a low influence type of the people flow and generating a low influence label;
If the influence degree of the people stream is not smaller than the minimum value of the influence range of the people stream and not larger than the maximum value of the influence range of the people stream, judging that the influence type of the people stream of the corresponding floor in the people number monitoring period is the influence type in the people stream and generating an influence tag;
if the influence degree of the people stream is larger than the maximum value of the influence range of the people stream, judging that the influence type of the people stream of the corresponding floor in the people number monitoring period is the high influence type of the people stream and generating a high influence label;
The low-influence tag, the medium-influence tag or the high-influence tag form local people flow influence analysis data of the corresponding floor in the people number monitoring period;
according to the embodiment of the invention, the people flow influence degree corresponding to different people number monitoring periods of different floors is calculated and analyzed, so that the local people flow influence types corresponding to different monitoring periods of different floors can be obtained according to the people flow influence degree, and reliable data support can be provided for subsequent abnormal people flow influence retrospective analysis;
When the stability of the people stream influence types of the corresponding floors is tracked according to the local people stream influence analysis data, counting the total number of different influence tags appearing in the people stream influence tracking period, arranging the different influence tags in a descending order, and analyzing the influence tags at the first arrangement; wherein, the people flow influence evaluation period is formed by all people number monitoring periods corresponding to the subsequent M pieces of local people flow influence analysis data, and M is an odd number;
if the first influence label is a high influence label, a medium influence label or a low influence label, respectively generating a high influence stable label, a medium influence stable label or a low influence stable label;
the high-influence stable tag, the medium-influence stable tag or the low-influence stable tag forms local people stream influence tracking data;
the local people flow influence tracking data of the individual floors in different people flow influence tracking periods form a local people flow influence analysis data set;
the real-time local people stream impact analysis data set of all floors forms application environment parameter analysis processing data.
In the embodiment of the invention, the real-time recording statistics of the operation application environment parameters is implemented on the indoor application environment when the outdoor large-scale air conditioner operates, and the data processing is carried out on the operation application environment parameters of the real-time recording statistics, so that the total people flow of different time periods of different floors can be intuitively displayed, meanwhile, reliable data support can be provided for people flow influence monitoring analysis of different time periods of different floors, the stability of the people flow influence types of different floors can be tracked and analyzed, the stable continuous state of the different people flow influence types of different floors can be obtained, reliable data support can be provided for the dynamic control of the operation of the individual outdoor air conditioner corresponding to the subsequent different floors, and the diversity and reliability of the indoor monitoring data analysis utilization of the outdoor air conditioner application are improved.
The air conditioner running state evaluation management control module is used for dynamically controlling the whole and individual running of different outdoor large-sized air conditioners according to the external environment parameter analysis processing data and the application environment parameter analysis processing data and synchronously prompting pushing running control to management personnel; comprising the following steps:
Traversing the acquired real-time external environment parameter analysis processing data, and controlling all outdoor large air conditioners to reduce the operation load according to the cycle high-influence stable labels acquired by traversing in the real-time external environment parameter analysis processing data until the influence labels corresponding to the subsequent external environment parameter analysis processing data of all outdoor large air conditioners are cycle low-influence labels or cycle high-influence fluctuation labels, so that the operation of the whole outdoor air conditioner is actively controlled according to the external environment monitoring analysis result to improve the safety and the self-adaptability of the whole operation of the outdoor air conditioner;
Traversing the acquired real-time application environment parameter analysis processing data, and respectively controlling the outdoor large-scale air conditioner of the corresponding floor to implement standard operation load, one type of adjustment operation load or two types of adjustment operation load according to the high-influence stable label, the medium-influence stable label or the low-influence stable label acquired by traversing in the real-time application environment parameter analysis processing data, thereby realizing active control on the operation of the individual outdoor air conditioners of different floors according to the indoor application monitoring analysis result so as to improve the operation initiative and the adaptability of the individual air conditioner;
The standard operation load is greater than one type of adjustment operation load and greater than two types of adjustment operation load, the standard operation load refers to the load of the outdoor air conditioner operation standard temperature, the operation standard temperature can be determined according to the operation requirement temperature of the existing market, for example, the operation temperature of the outdoor air conditioner corresponding to one type of adjustment operation load is higher than the operation standard temperature of the outdoor air conditioner, the operation temperature of the outdoor air conditioner corresponding to the two types of adjustment operation load is higher than the operation temperature of the outdoor air conditioner corresponding to the one type of adjustment operation load, and the specific numerical value of the operation temperature difference can be customized according to the actual operation requirement of the market;
In addition, the prompt of pushing operation control is synchronously carried out to the manager, the manager can select active intervention to adjust the temperature of automatic control, and the temperature of automatic control can also not be adjusted, namely, the control authority of the manager is higher than the authority of automatic control of the outdoor air conditioner.
In the embodiment of the invention, the whole and individual operation of different outdoor large-sized air conditioners are adaptively and actively controlled by utilizing the parameter analysis processing data in different aspects, so that the operation life supervision effect of the outdoor large-sized air conditioners and the local operation state control effect of different position areas can be effectively improved.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. An outdoor large-scale air conditioner integrated control system, characterized by comprising:
The outdoor operation environment monitoring and processing module is used for carrying out real-time recording statistics of operation external environment parameters on the external operation environment when the outdoor large-scale air conditioner operates, carrying out data processing on the operation external environment parameters which are recorded and counted in real time, carrying out external influence evaluation and tracking, obtaining analysis and processing data of the external environment parameters and uploading the analysis and processing data to the air conditioner control platform in real time;
The method comprises the steps of numbering and marking a plurality of outdoor large-scale air conditioners, monitoring and counting starting-up operation time points and corresponding real-time environment temperatures when all the outdoor large-scale air conditioners start to operate, and displaying and connecting the monitored and counted real-time environment temperatures through a pre-built temperature coordinate system to obtain a real-time environment temperature curve;
When external influence assessment and tracking are carried out according to a real-time environment temperature curve, if the real-time environment temperature curve rises to a risk temperature interval, generating a temperature anomaly tag and acquiring an anomaly occurrence time point corresponding to the temperature anomaly tag;
According to the abnormal influence of the temperature abnormal label on the real-time environment temperature, tracing and evaluating, in a basic tracing and monitoring period, counting the total number N of occurrence of a real-time environment temperature curve in a risk temperature interval and the occurrence area Si enclosed by the real-time environment temperature curve and a temperature warning straight line in a risk temperature area each time, wherein i=1, 2,3, … … and N; n is a positive integer; by periodic environmental influence formula Calculating and obtaining a periodic environment influence coefficient delta of a real-time environment temperature curve in a basic traceability monitoring period; wherein T is the total monitoring duration of the traceable monitoring period;
When evaluating the influence of the real-time environment temperature curve in the risk temperature interval according to the periodic environment influence coefficient, if the periodic environment influence coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic low influence label; if the periodic environment influence coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence label;
according to the method, a basic tracing monitoring period is shortened according to a period high influence label, an adjustment tracing monitoring period is obtained, the total number of occurrences of a real-time environment temperature curve in a risk temperature interval is counted according to the adjustment tracing monitoring period, the occurrence area enclosed by the real-time environment temperature curve and a temperature warning straight line in a risk temperature area each time is calculated and obtained through a period environment influence formula, and a period environment influence verification coefficient delta' of the real-time environment temperature curve in the adjustment tracing monitoring period is obtained;
When stability evaluation is carried out on the periodic high-influence state corresponding to the real-time environment temperature curve according to the periodic environment influence verification coefficient, if the periodic environment influence verification coefficient is not greater than the periodic environment influence coefficient threshold value, generating a periodic high-influence fluctuation label; if the periodic environment influence verification coefficient is larger than the periodic environment influence coefficient threshold value, generating a periodic high influence stable tag;
The periodic high-influence fluctuation label or the periodic high-influence stable label forms high-influence stable traceability analysis data; the period low-influence label, the period high-influence label and the associated high-influence stable traceability analysis data form external environment parameter analysis processing data;
The indoor application environment monitoring and processing module is used for carrying out real-time recording statistics of operation application environment parameters on the indoor application environment when the outdoor large-scale air conditioner operates, carrying out data processing on the indoor application environment parameters which are recorded and counted in real time, carrying out application influence evaluation and tracking, obtaining application environment parameter analysis and processing data and uploading the application environment parameter analysis and processing data to the air conditioner control platform in real time;
The air conditioner running state evaluation management control module is used for dynamically controlling the whole and individual running of different outdoor large-sized air conditioners according to the external environment parameter analysis processing data and the application environment parameter analysis processing data and synchronously prompting pushing running control to management personnel; traversing the acquired real-time external environment parameter analysis processing data, and controlling all outdoor large air conditioners to reduce the operation load according to the cycle high-influence stable labels acquired by traversing in the real-time external environment parameter analysis processing data until the influence labels corresponding to the subsequent external environment parameter analysis processing data of all outdoor large air conditioners are cycle low-influence labels or cycle high-influence fluctuation labels.
2. The integrated control system of an outdoor large-scale air conditioner according to claim 1, wherein different floors contained in an indoor application environment when the outdoor large-scale air conditioner is operated are obtained and numbered, periodic statistics is carried out on the total people flow of the different floors according to a preset people number monitoring period, and the total people flow corresponding to the different people number monitoring periods of the different floors are respectively combined according to the Beijing time sequence to obtain a floor flow monitoring array alpha kj= [ Rk1, rk2, rk3, … …, rkj ]; k denotes different floors, k=1, 2,3, … …, m; m is a positive integer; j is different people monitoring periods, j=1, 2,3, … …, p; p is a positive integer; rkj is expressed as the total amount of people flow corresponding to different floors in different people number monitoring periods.
3. The integrated control system of outdoor large-scale air conditioner according to claim 2, wherein when evaluating the people flow influence states of different people number monitoring periods of different floors according to the floor flow monitoring array, the people flow influence degree beta corresponding to the different people number monitoring periods of different floors is obtained through calculation according to a formula beta = Rkj/Mk; wherein Mk is the area of a public influence area corresponding to different floors; and when the corresponding people stream influence type is determined according to the people stream influence degree, comparing and classifying the people stream influence degree with the pre-stored people stream influence range in the database to obtain local people stream influence analysis data of the corresponding floor consisting of the low influence tag, the medium influence tag or the high influence tag in the people number monitoring period.
4. The outdoor large-scale air conditioner integrated control system according to claim 3, wherein when the stability of the people stream influence type of the corresponding floor is tracked according to the local people stream influence analysis data, the total number of different influence tags appearing in the people stream influence tracking period is counted and arranged in a descending order, and the influence tags at the head of the arrangement are analyzed; wherein, the people flow influence evaluation period is formed by all people number monitoring periods corresponding to the subsequent M pieces of local people flow influence analysis data, and M is an odd number;
if the first influence label is a high influence label, a medium influence label or a low influence label, respectively generating a high influence stable label, a medium influence stable label or a low influence stable label;
the high-influence stable tag, the medium-influence stable tag or the low-influence stable tag forms local people stream influence tracking data;
The local people flow influence tracking data of the individual floors in different people flow influence tracking periods form a local people flow influence analysis data set; the real-time local people stream impact analysis data set of all floors forms application environment parameter analysis processing data.
5. The integrated control system of outdoor large-scale air conditioner according to claim 4, wherein the obtained real-time application environment parameter analysis processing data is traversed, and the high-impact stable tag, the medium-impact stable tag or the low-impact stable tag obtained by traversing in the real-time application environment parameter analysis processing data are used for respectively controlling the outdoor large-scale air conditioner of the corresponding floor to implement standard operation load, one type of adjustment operation load or two types of adjustment operation load.
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