CN116301091A - Temperature control intelligent management system suitable for radiation cold and warm window - Google Patents
Temperature control intelligent management system suitable for radiation cold and warm window Download PDFInfo
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/1927—Control of temperature characterised by the use of electric means using a plurality of sensors
- G05D23/193—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
- G05D23/1931—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of one space
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Abstract
The invention belongs to the technical field of window management and control, in particular to a temperature control intelligent management system suitable for a radiation cold and warm window, which comprises a server, a temperature control strategy execution module, an execution deviation analysis module and an intelligent control display module; the invention marks the time period related to the operation conversion process of the radiation cold and warm window as the capturing time period and performs abnormal capturing analysis when the deviation qualified signal is generated by performing control feedback judgment on the radiation cold and warm window so as to effectively monitor the operation conversion process of the radiation cold and warm window and perform abnormal feedback early warning in time, and performs operation evaluation judgment based on temperature control operation information of the radiation cold and warm window in an execution evaluation period, thereby realizing timely inspection and maintenance of the radiation cold and warm window, ensuring stable and smooth use of the radiation cold and warm window, and further improving the service performance and service life of the radiation cold and warm window.
Description
Technical Field
The invention relates to the technical field of window management and control, in particular to a temperature control intelligent management system suitable for a radiation cooling and heating window.
Background
The radiation cooling and heating window is a very environment-friendly window, which is used for reducing the indoor temperature by absorbing solar radiation in winter to raise the indoor temperature and reflecting solar radiation and emitting infrared radiation by a radiation refrigeration material (with a ground absorptivity to the solar spectrum of 0.3-2.5um and a high emissivity to the spectral wavelength of 8-13 um) in summer, and the existing radiation cooling and heating window is commonly provided with an automatic temperature control device for automatically controlling window operation transformation according to indoor and outdoor conditions so as to achieve the optimal refrigeration or heating effect;
at present, when temperature control management of the radiation cooling and heating window is performed, analysis and judgment of execution deviation of corresponding operation transformation of the radiation cooling and heating window cannot be performed, and abnormal capture analysis of the operation transformation process cannot be realized when the execution deviation is judged to be qualified, and periodic evaluation and judgment of the operation quality of the radiation cooling and heating window and comprehensive inspection and maintenance of the radiation cooling and heating window are difficult to realize, so that subsequent stable and smooth operation of the radiation cooling and heating window cannot be ensured;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a temperature control intelligent management system suitable for a radiation cold and warm window, which solves the problems that in the prior art, the execution deviation of the radiation cold and warm window in corresponding operation transformation cannot be analyzed and judged, the abnormal capture analysis of the operation transformation process cannot be realized when the execution deviation is judged to be qualified, the periodic evaluation and judgment of the operation quality of the radiation cold and warm window and the comprehensive inspection and maintenance of the radiation cold and warm window are difficult to realize, and the follow-up stable and smooth operation of the radiation cold and warm window cannot be ensured.
In order to achieve the above purpose, the present invention provides the following technical solutions: a temperature control intelligent management system suitable for a radiation cooling and heating window comprises a server, a temperature control strategy execution module, an execution deviation analysis module and an intelligent control display module;
the temperature control strategy execution module acquires real-time data of temperature control detection items to be monitored, carries out regulation and control judgment according to a preset temperature control strategy scheme based on the real-time data of all the temperature control detection items, judges whether a corresponding regulation and control instruction of the radiation cold-warm window is generated, sends the corresponding regulation and control instruction to the server and controls the radiation cold-warm window to carry out corresponding operation transformation so as to realize automatic control;
the execution deviation analysis module is used for carrying out control feedback judgment on the radiation cooling and heating window, generating an execution deviation disqualification signal when the radiation cooling and heating window does not carry out operation transformation of the corresponding regulation and control instruction, carrying out execution deviation analysis when the radiation cooling and heating window successfully carries out operation transformation of the corresponding regulation and control instruction, judging whether the execution deviation is qualified, generating an execution deviation qualification signal or an execution deviation disqualification signal, sending the execution deviation disqualification signal to the intelligent control display module for display through the server, and sending the execution deviation qualification signal to the execution abnormality capturing analysis module through the server;
the execution anomaly capture analysis module is used for marking a time period related to the operation transformation process of the radiation cold-warm window as a capture time period, setting a plurality of groups of capture time points in the capture time period, marking the capture time points as i, wherein i is a natural number larger than 1, judging whether the operation state of the operation transformation process of the radiation cold-warm window is qualified or not through anomaly capture analysis, generating an operation state qualified signal or an operation state unqualified signal, sending the operation state unqualified signal to the intelligent control display module through the server for display, and flashing red light when the intelligent control display module receives the execution deviation unqualified signal or the operation state unqualified signal, storing the execution deviation unqualified signal and the corresponding generation time by the server, and storing the operation state qualified signal or the operation state unqualified signal and the corresponding generation time.
Further, a specific analysis procedure for performing the deviation analysis is as follows:
acquiring the generation time of a corresponding regulation command, acquiring the time when a corresponding radiation cold-warm window receives the corresponding regulation command and starts to perform corresponding operation transformation operation, performing time difference calculation on the time when the corresponding operation transformation operation starts and the generation time of the corresponding regulation command to obtain an execution delay value, subtracting a corresponding preset time threshold from the time length value of the corresponding operation transformation of the radiation cold-warm window to obtain an execution timeout value, performing numerical comparison on the execution delay value, the execution timeout value, a preset execution delay threshold and the preset execution timeout threshold, judging that the execution deviation is qualified and generating an execution deviation qualified signal if the execution delay value does not exceed the preset execution delay threshold and the execution timeout value does not exceed the preset execution timeout threshold, and judging that the execution deviation is unqualified and generating an execution deviation unqualified signal if the execution delay value does not exceed the preset execution delay threshold.
Further, the specific analysis procedure of the anomaly capturing analysis is as follows:
acquiring an influence factor item required by the operation conversion process of the radiation cold and warm window for data acquisition monitoring, acquiring real-time data of the influence factor item corresponding to the capturing time point i, marking the exceeding value of the real-time data of the influence factor item compared with the corresponding preset data threshold as a factor runaway value, marking the corresponding influence factor item as a runaway item if the factor runaway value exceeds the preset factor runaway threshold of the corresponding influence factor item, and marking the corresponding influence factor item as a controllable item if the factor runaway value does not exceed the corresponding preset factor runaway threshold; if no uncontrolled item exists in the operation of the radiation cooling and heating window at the capturing time point i, marking the capturing time point i as a stable time point, otherwise, calculating the ratio of the number of uncontrolled items to the number of controllable items, and marking the ratio result of the uncontrolled item and the controllable item as a loss ratio coefficient;
the loss ratio coefficient is compared with a preset loss ratio coefficient threshold value in a numerical mode, if the loss ratio coefficient exceeds the preset loss ratio coefficient threshold value, the capturing time point i is marked as a deep abnormal time point, otherwise, the capturing time point i is marked as a shallow abnormal time point; the method comprises the steps of collecting the stable time point quantity, the deep time point quantity and the shallow time point quantity of a capturing period, carrying out normalization calculation on the stable time point quantity, the deep time point quantity and the shallow time point quantity, taking the numerical value, marking the numerical value as a capturing coefficient, carrying out numerical comparison on the capturing coefficient and a preset capturing coefficient threshold value, generating an operation state disqualification signal if the capturing coefficient exceeds the preset capturing coefficient threshold value, and generating an operation state qualification signal if the capturing coefficient does not exceed the preset capturing coefficient threshold value.
Further, the operation process of the intelligent control display module further comprises:
acquiring a real-time image of a display area, capturing and identifying personnel in the real-time image, marking the time when no personnel exist in the real-time image as an unmanned initial time, timing by taking the unmanned initial time as a time starting point to obtain an invalid display time length, respectively comparing the invalid display time length with a preset first time length threshold value and a preset second time length threshold value, wherein the preset first time length threshold value is less than the preset second time length threshold value, reducing the display brightness to two thirds of the current brightness if the preset first time length threshold value is less than or equal to the invalid display time length less than the preset second time length threshold value, and directly entering a dark screen mode if the invalid display time length is more than or equal to the preset second time length threshold value.
Further, the server is in communication connection with the execution evaluation judging module, the execution evaluation judging module is used for setting an execution evaluation period, performing operation evaluation judgment based on temperature control operation information of the radiation cooling and heating window in the execution evaluation period, generating an evaluation qualified signal or an evaluation unqualified signal through evaluation judgment, and sending the evaluation unqualified signal to the intelligent control display module for display through the server; the specific judgment and analysis process of the operation evaluation judgment is as follows:
collecting the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals of an execution evaluation period radiation cooling and heating window, carrying out summation calculation on the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals to obtain an operation frequency value, carrying out summation calculation on the times of generating execution deviation unqualified signals and the times of generating operation state qualified signals to obtain a negative face value, carrying out ratio calculation on the negative face value and the operation frequency value, marking the ratio result of the negative face value and the operation frequency value as a negative occupation value, carrying out numerical calculation on the negative occupation value and the negative value to obtain an operation evaluation value, carrying out numerical comparison on the operation evaluation value and a preset operation evaluation threshold value, and generating an evaluation unqualified signal if the operation evaluation value exceeds the preset operation evaluation threshold value, otherwise, and generating an evaluation qualified signal.
Further, when an operation evaluation qualified signal is generated, operation evaluation values of a plurality of adjacent execution evaluation periods are obtained, the operation evaluation values are filled into a cylindrical chart according to time sequence and according to the numerical value of the operation evaluation values, a plurality of evaluation columns are generated, if the lengths of the evaluation columns are in a continuously-growing state, midpoints of two adjacent groups of evaluation columns are connected through line segments, the included angles of the corresponding line segments and a horizontal line are marked as increment values, summation calculation is carried out on all increment values, an average value of the increment values is obtained, and if the average value of the increment values exceeds a preset average value of the increment values, an evaluation early warning signal is generated.
Further, the server is in communication connection with the overhaul management analysis module, the execution evaluation judgment module sends the evaluation qualified signal to the overhaul management analysis module through the server, and the overhaul management analysis module receives the evaluation qualified signal and then performs the following analysis:
acquiring an overhaul duration span value of the radiation cooling and heating window, generating an overhaul signal if the overhaul duration span value exceeds a preset overhaul duration span threshold value, otherwise acquiring a production duration span value and a use duration span value of the radiation cooling and heating window, and distributing an overhaul influence value KP1 if the production duration span value does not exceed the preset production duration span threshold value and the use duration span value does not exceed the preset use duration span threshold value, or distributing an overhaul influence value KP2 if the production duration span value does not exceed the preset use duration span threshold value, and the overhaul influence value KP1 is more than 0 and less than KP2;
subtracting an overhaul duration span value from a preset overhaul duration span threshold value to obtain a duration span difference value, subtracting an operation evaluation value from a preset operation evaluation threshold value to obtain an operation evaluation value, carrying out normalization calculation on the duration span difference value, the operation evaluation value and a corresponding overhaul influence value, marking a calculation result as a total detection value, carrying out numerical comparison on the total detection value and a preset total detection threshold value, and generating an overhaul signal if the total detection value does not exceed the preset total detection threshold value; and sending the overhaul signal to the user terminal through the server, and carrying out comprehensive inspection and maintenance on the radiation cooling and heating window in time after the user terminal receives the overhaul signal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the temperature control strategy execution module is used for carrying out regulation and control judgment and sending the corresponding regulation and control instruction to the server, so that the radiation cold and warm window carries out corresponding operation transformation to realize automatic control, the execution deviation analysis module is used for carrying out control feedback judgment on the radiation cold and warm window, generating an execution deviation disqualification signal when the radiation cold and warm window does not carry out operation transformation of the corresponding regulation and control instruction, and carrying out execution deviation analysis when the radiation cold and warm window successfully carries out operation transformation of the corresponding regulation and control instruction, thereby facilitating a user to carry out cause judgment in time and checking according to requirements; when the execution deviation qualified signal is generated, the execution anomaly capture analysis module is used for marking the time period related to the operation conversion process of the radiation cold-warm window as a capture time period, judging whether the operation state of the operation conversion process of the radiation cold-warm window is qualified or not through anomaly capture analysis, so that a corresponding user can conveniently know the operation state of the radiation cold-warm window in time and make corresponding countermeasures in time, and effective monitoring of the operation conversion process of the radiation cold-warm window and anomaly feedback early warning can be realized in time;
2. according to the invention, the execution evaluation judging module is used for carrying out operation evaluation judgment based on temperature control operation information of the radiation cold-warm window in an execution evaluation period, an evaluation disqualification signal is sent to the user terminal through the server when the evaluation disqualification signal is generated, and inspection and maintenance of the radiation cold-warm window are timely carried out when the evaluation disqualification signal is received by a corresponding user, so that the follow-up stable and efficient operation of the radiation cold-warm window is ensured, and the service life of the radiation cold-warm window is prolonged; and the execution evaluation judging module sends the evaluation qualified signal to the overhaul management analysis module through the server, and the overhaul management analysis module judges whether to generate an overhaul signal or not through analysis, and the user terminal timely performs comprehensive inspection and maintenance of the radiation cooling and heating window after receiving the overhaul signal, so that the timely inspection and maintenance of the radiation cooling and heating window is realized, the stable and smooth use of the radiation cooling and heating window is ensured, and the service performance and service life of the radiation cooling and heating window are further improved.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a system block diagram of a second embodiment of 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 can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the temperature control intelligent management system suitable for the radiation cooling and heating window provided by the invention comprises a server, a temperature control strategy execution module, an execution deviation analysis module and an intelligent control display module, wherein the server is in communication connection with the temperature control strategy execution module, the execution deviation analysis module and the intelligent control display module;
the temperature control strategy execution module acquires real-time data of temperature control detection items (including indoor temperature, illumination intensity and the like) to be monitored, carries out regulation and judgment based on the real-time data of all the temperature control detection items and according to a preset temperature control strategy scheme (the temperature control strategy scheme is preset by a manufacturer of the radiation cold and warm window and is recorded and stored in a server, or is preset by a user and a manager corresponding to the radiation cold and warm window and is recorded and stored in the server), judges whether to generate corresponding regulation and control instructions (such as opening and closing of the radiation cold and warm window) of the radiation cold and warm window, sends the corresponding regulation and control instructions to the server and controls the radiation cold and warm window to carry out corresponding operation transformation so as to realize automatic control;
the execution deviation analysis module is used for carrying out control feedback judgment on the radiation cooling and heating window, generating an execution deviation disqualification signal when the radiation cooling and heating window does not carry out operation transformation of the corresponding regulation and control instruction, carrying out execution deviation analysis when the radiation cooling and heating window successfully carries out operation transformation of the corresponding regulation and control instruction, judging whether the execution deviation is qualified and generating an execution deviation qualification signal or an execution deviation disqualification signal, sending the execution deviation disqualification signal to the intelligent control display module for display through the server, and sending the execution deviation disqualification signal to the user terminal through the server, so that a user can conveniently carry out cause judgment in time and check according to requirements, and sending the execution deviation qualification signal to the execution abnormality capturing analysis module through the server; the specific analysis procedure for performing the bias analysis is as follows:
acquiring the generation time of a corresponding regulation command, acquiring the time when a corresponding radiation cold-warm window receives the corresponding regulation command and starts to perform corresponding operation transformation operation, performing time difference calculation on the time when the corresponding operation transformation operation starts and the generation time of the corresponding regulation command to obtain an execution delay value, subtracting a corresponding preset time threshold value from the time length value of the corresponding operation transformation of the radiation cold-warm window to obtain an execution timeout value, wherein the larger the values of the execution delay value and the execution timeout value are, the more delayed the operation reaction of the radiation cold-warm window is, and the greater the possibility of abnormality is;
and comparing the execution delay value with the execution timeout value, a preset execution delay threshold value and a preset execution timeout threshold value in numerical value, judging that the execution deviation is qualified and generating an execution deviation qualified signal if the execution delay value does not exceed the preset execution delay threshold value and the execution timeout value does not exceed the preset execution timeout threshold value, and judging that the execution deviation is unqualified and generating an execution deviation unqualified signal if the execution delay value exceeds the preset execution delay threshold value or the execution timeout value exceeds the preset execution timeout threshold value.
The execution anomaly capture analysis module is used for marking a time period involved in the operation transformation process of the radiation cold-warm window as a capture time period, setting a plurality of groups of capture time points in the capture time period, marking the capture time points as i, wherein i is a natural number larger than 1, judging whether the operation state of the operation transformation process of the radiation cold-warm window is qualified or not through anomaly capture analysis, generating an operation state qualified signal or an operation state unqualified signal, sending the operation state unqualified signal to the intelligent control display module through the server for display early warning, and sending the operation state unqualified signal to the user terminal through the server so as to facilitate a corresponding user to know the operation state of the radiation cold-warm window in time and make corresponding countermeasures in time; the specific analysis procedure for the anomaly capture analysis is as follows:
acquiring influence factor items (including noise intensity, vibration frequency, vibration amplitude and the like generated in the operation process) required by the data acquisition monitoring of the radiation cooling and heating window operation conversion process, acquiring real-time data of the influence factor items corresponding to the capturing time point i, marking the exceeding value of the real-time data of the influence factor items corresponding to the corresponding preset data threshold value as a factor runaway value, marking the corresponding influence factor items as runaway items if the factor runaway value exceeds the preset factor runaway threshold value of the corresponding influence factor items, and marking the corresponding influence factor items as controllable items if the factor runaway value does not exceed the corresponding preset factor runaway threshold value; for example, if the noise intensity generated when the radiation cooling and heating window operates at the capturing time point i is 50 db, and the preset data threshold corresponding to the noise intensity is 40 db, the corresponding factor runaway value is 10, and if the corresponding preset factor runaway threshold is 7, the noise intensity is a runaway item because the factor runaway value of the noise intensity is greater than the corresponding preset factor runaway threshold;
if no uncontrolled item exists in the operation of the radiation cooling and heating window at the capturing time point i, marking the capturing time point i as a stable time point, otherwise, calculating the ratio of the number of uncontrolled items to the number of controllable items, and marking the ratio result of the uncontrolled item and the controllable item as a loss ratio coefficient; moreover, the larger the value of the loss ratio coefficient is, the more abnormal the operation process of the radiation cold-warm window at the capturing time point i is, and the worse the operation effect is; the loss ratio coefficient is compared with a preset loss ratio coefficient threshold value in a numerical mode, if the loss ratio coefficient exceeds the preset loss ratio coefficient threshold value, the capturing time point i is marked as a deep abnormal time point, otherwise, the capturing time point i is marked as a shallow abnormal time point;
the method comprises the steps of acquiring the stable time point quantity, the deep time point quantity and the shallow time point quantity of a capturing period, marking the stable time point quantity, the deep time point quantity and the shallow time point quantity as WS, SS and QS respectively, carrying out normalization calculation on the stable time point quantity WS, the deep time point quantity SS and the shallow time point quantity QS through a formula BZ= (fg 1 x SS+fg2 x QS)/(fg 3 x WS+0.867), taking the values, and marking the values as a capturing coefficient BZ; wherein fg1, fg2 and fg3 are preset proportionality coefficients, fg2 is larger than fg1 and fg3 is larger than 0, and the larger the value of the capturing coefficient BZ is, the worse the operation state of the radiation cold-warm window in the capturing period is; and comparing the capture coefficient with a preset capture coefficient threshold value in a numerical mode, generating an operation state disqualification signal if the capture coefficient exceeds the preset capture coefficient threshold value, and generating an operation state qualification signal if the capture coefficient does not exceed the preset capture coefficient threshold value.
The intelligent control display module is used for performing manual control and display early warning, and the intelligent control display module flashes red light when receiving an execution deviation disqualification signal or an operation state disqualification signal, and the server stores the execution deviation disqualification signal or the execution deviation disqualification signal and the corresponding generation time and stores the operation state qualification signal or the operation state disqualification signal and the corresponding generation time; the operation process of the intelligent control display module further comprises the following steps:
acquiring a real-time image of a display area, carrying out personnel capturing and identifying on the real-time image, marking the moment when no personnel exist in the real-time image as an unmanned initial moment, timing by taking the unmanned initial moment as a time starting point to obtain an invalid display time length, respectively comparing the invalid display time length with a preset first time length threshold value and a preset second time length threshold value, wherein the preset first time length threshold value is less than the preset second time length threshold value, reducing the display brightness to two thirds of the current brightness if the preset first time length threshold value is less than or equal to the invalid display time length less than the preset second time length threshold value, and directly entering a dark screen mode if the invalid display time length is more than or equal to the preset second time length threshold value, thereby being beneficial to reducing energy consumption and realizing automatic control of display operation; and in the time period of presetting the first time length threshold value and presetting the second time length threshold value, if the existence of personnel in the display area is detected again, stopping timing and zeroing, and restoring the display brightness to an initial state, so that intelligent display control is realized, and the intelligent degree is improved.
Further, the server is in communication connection with the execution evaluation judging module, the execution evaluation judging module is used for setting an execution evaluation period, performing operation evaluation judgment based on temperature control operation information of the radiation cooling and heating window in the execution evaluation period, generating an evaluation qualified signal or an evaluation disqualified signal through evaluation judgment, sending the evaluation disqualified signal to the intelligent control display module for display through the server, sending the evaluation disqualified signal to the user terminal through the server, and performing inspection and maintenance on the radiation cooling and heating window in time when the corresponding user receives the evaluation disqualified signal so as to ensure the follow-up stable and efficient operation of the radiation cooling and heating window; the specific judgment and analysis process of the operation evaluation judgment is as follows:
collecting the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals of an execution evaluation period radiation cooling and heating window, carrying out summation calculation on the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals to obtain an operation frequency value, carrying out summation calculation on the times of generating execution deviation unqualified signals and the times of generating operation state qualified signals to obtain a negative face value FM, carrying out ratio calculation on the negative face value and the operation frequency value, and marking the ratio result of the negative face value FM and the operation frequency value as a negative occupation value FZ;
carrying out numerical calculation on the negative duty value FZ and the negative value FM through a formula HM=at1 x FZ+at2 x FM to obtain an evaluation value HM, wherein at1 and at2 are preset weight coefficients, and at1 is more than at2 is more than 1; and the value of the operation evaluation value HM is in a direct proportion relation with the negative occupation value FZ and the negative face value FM, and the larger the value of the negative occupation value FZ and the larger the value of the negative value FM, the larger the value of the operation evaluation value HM is, which indicates that the operation quality of the radiation cooling and heating window is poorer when the evaluation period is executed; comparing the operation evaluation value with a preset operation evaluation threshold value, generating an evaluation disqualification signal if the operation evaluation value exceeds the preset operation evaluation threshold value, and generating an evaluation qualification signal if the operation evaluation value does not exceed the preset operation evaluation threshold value;
and when an operation evaluation qualified signal is generated, operation evaluation values of a plurality of adjacent execution evaluation periods are acquired, the operation evaluation values are filled into a bar graph according to time sequence and according to the numerical value of the operation evaluation values, a plurality of evaluation columns are generated, if the lengths of the evaluation columns are in a continuously-growing state, the midpoints of the two adjacent groups of evaluation columns are connected through line segments, the included angles of the corresponding line segments and the horizontal line are marked as increment values, summation calculation is carried out on all increment values, an average value is obtained, if the increment value exceeds a preset increment value average value threshold, the operation quality of the radiation cold-warm window in the execution evaluation period is reduced too fast, an evaluation early warning signal is generated, the evaluation early warning signal is sent to an intelligent control display module and a user terminal through a weapon, and inspection maintenance of the radiation cold-warm window is timely carried out according to requirements when the corresponding user receives the evaluation disqualified signal, so that the subsequent stable and efficient operation of the radiation cold-warm window is further ensured.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the server is communicatively connected to the inspection management analysis module, and the execution evaluation judgment module sends the evaluation qualified signal to the inspection management analysis module via the server, and the inspection management analysis module performs the following analysis after receiving the evaluation qualified signal:
acquiring an overhaul duration span value of the radiation cooling and heating window, wherein the overhaul duration span value is a data value representing the size of the radiation cooling and heating window at the interval between the current time and the last inspection and maintenance time, comparing the overhaul duration span value with a preset overhaul duration span threshold value, generating an overhaul signal if the overhaul duration span value exceeds the preset overhaul duration span threshold value, and acquiring a production duration span value and a use duration span value of the radiation cooling and heating window if the overhaul duration span value does not exceed the preset overhaul duration span threshold value, wherein the production duration span value is a data value representing the size of the radiation cooling and heating window at the interval between the current date and the generation date, and the use duration span value is a data value representing the size of the radiation cooling and heating window at the interval between the current date and the start of use date;
respectively carrying out numerical comparison on the production time span value and the use time long span value, and a preset production time span threshold value and a preset use time long span threshold value, if the production time span value does not exceed the preset production time span threshold value and the use time long span value does not exceed the preset use time long span threshold value, distributing a maintenance influence value KP1, otherwise distributing a maintenance influence value KP2, wherein 0 is more than KP1 and less than KP2; subtracting the maintenance time span value from a preset maintenance time span threshold value to obtain a time span difference SK, and subtracting the operation evaluation value from a preset operation evaluation threshold value to obtain an operation evaluation difference YK;
normalizing and calculating a time span difference value SK, an operation evaluation difference value YK and a corresponding overhaul influence value KP (KP is KP1 or KP 2) through a formula ZJ= (e1+e2 x YK)/(e3 x KP+ 1.213), wherein e1, e2 and e3 are preset proportionality coefficients, and 0 < e1 < e2 < e3; moreover, as shown by the formula, the value of the total detection value ZJ is in a direct proportion relation with the time span difference SK and the operation evaluation difference YK, and the smaller the value of the total detection value ZJ is, the more the radiation cooling and heating window needs to be checked and maintained in time; comparing the total detection value with a preset total detection threshold value in a numerical mode, and generating an overhaul signal if the total detection value does not exceed the preset total detection threshold value; the intelligent control display module is used for displaying and early warning, and the user terminal receives the overhaul signal and then timely performs comprehensive inspection and maintenance on the radiation cooling and heating window, so that the radiation cooling and heating window is timely inspected and maintained, stable and smooth use of the radiation cooling and heating window is ensured, and the service performance and service life of the radiation cooling and heating window are improved.
When the intelligent control system is used, the temperature control strategy execution module is used for carrying out regulation and control judgment and sending corresponding regulation and control instructions to the server, so that the radiation cold and warm window carries out corresponding operation transformation to realize automatic control, the execution deviation analysis module is used for carrying out control feedback judgment on the radiation cold and warm window, generating an execution deviation disqualification signal when the radiation cold and warm window does not carry out operation transformation of the corresponding regulation and control instructions, carrying out execution deviation analysis when the radiation cold and warm window successfully carries out operation transformation of the corresponding regulation and control instructions, judging whether the execution deviation is qualified and generating an execution deviation qualification signal or an execution deviation disqualification signal, and facilitating a user to timely carry out reason judgment and checking according to requirements; when the execution deviation qualified signal is generated, the execution anomaly capture analysis module is used for marking the time period involved in the operation transformation process of the radiation cold-warm window as a capture time period, setting a plurality of groups of capture time points in the capture time period, judging whether the operation state of the operation transformation process of the radiation cold-warm window is qualified or not through anomaly capture analysis, so that a corresponding user can conveniently know the operation state of the radiation cold-warm window in time and make corresponding countermeasures in time; and the execution evaluation judgment module is used for performing operation evaluation judgment based on temperature control operation information of the radiation cooling and heating window in an execution evaluation period, the evaluation disqualification signal is sent to the user terminal through the server when the evaluation disqualification signal is generated, and the inspection and maintenance of the radiation cooling and heating window are timely performed when the corresponding user receives the evaluation disqualification signal, so that the follow-up stable and efficient operation of the radiation cooling and heating window is ensured, and the service life of the radiation cooling and heating window is prolonged.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The temperature control intelligent management system suitable for the radiation cooling and heating window is characterized by comprising a server, a temperature control strategy execution module, an execution deviation analysis module and an intelligent control display module;
the temperature control strategy execution module acquires real-time data of temperature control detection items to be monitored, carries out regulation and control judgment according to a preset temperature control strategy scheme based on the real-time data of all the temperature control detection items, judges whether a corresponding regulation and control instruction of the radiation cold-warm window is generated, sends the corresponding regulation and control instruction to the server and controls the radiation cold-warm window to carry out corresponding operation transformation so as to realize automatic control;
the execution deviation analysis module is used for carrying out control feedback judgment on the radiation cooling and heating window, generating an execution deviation disqualification signal when the radiation cooling and heating window does not carry out operation transformation of the corresponding regulation and control instruction, carrying out execution deviation analysis when the radiation cooling and heating window successfully carries out operation transformation of the corresponding regulation and control instruction, judging whether the execution deviation is qualified, generating an execution deviation qualification signal or an execution deviation disqualification signal, sending the execution deviation disqualification signal to the intelligent control display module for display through the server, and sending the execution deviation qualification signal to the execution abnormality capturing analysis module through the server;
the execution anomaly capture analysis module is used for marking a time period related to the operation transformation process of the radiation cold-warm window as a capture time period, setting a plurality of groups of capture time points in the capture time period, marking the capture time points as i, wherein i is a natural number larger than 1, judging whether the operation state of the operation transformation process of the radiation cold-warm window is qualified or not through anomaly capture analysis, generating an operation state qualified signal or an operation state unqualified signal, sending the operation state unqualified signal to the intelligent control display module through the server for display, and flashing red light when the intelligent control display module receives the execution deviation unqualified signal or the operation state unqualified signal, storing the execution deviation unqualified signal and the corresponding generation time by the server, and storing the operation state qualified signal or the operation state unqualified signal and the corresponding generation time.
2. A temperature-controlled intelligent management system for a radiant cooling and heating window according to claim 1, wherein the specific analysis process for performing the deviation analysis is as follows:
acquiring the generation time of a corresponding regulation command, acquiring the time when a corresponding radiation cold-warm window receives the corresponding regulation command and starts to perform corresponding operation transformation operation, performing time difference calculation on the time when the corresponding operation transformation operation starts and the generation time of the corresponding regulation command to obtain an execution delay value, subtracting a corresponding preset time threshold from the time length value of the corresponding operation transformation of the radiation cold-warm window to obtain an execution timeout value, performing numerical comparison on the execution delay value, the execution timeout value, a preset execution delay threshold and the preset execution timeout threshold, judging that the execution deviation is qualified and generating an execution deviation qualified signal if the execution delay value does not exceed the preset execution delay threshold and the execution timeout value does not exceed the preset execution timeout threshold, and judging that the execution deviation is unqualified and generating an execution deviation unqualified signal if the execution delay value does not exceed the preset execution delay threshold.
3. The intelligent temperature control management system for a radiation cooling and heating window according to claim 1, wherein the specific analysis process of the anomaly capturing analysis is as follows:
acquiring an influence factor item required by the operation conversion process of the radiation cold and warm window for data acquisition monitoring, acquiring real-time data of the influence factor item corresponding to the capturing time point i, marking the exceeding value of the real-time data of the influence factor item compared with the corresponding preset data threshold as a factor runaway value, marking the corresponding influence factor item as a runaway item if the factor runaway value exceeds the preset factor runaway threshold of the corresponding influence factor item, and marking the corresponding influence factor item as a controllable item if the factor runaway value does not exceed the corresponding preset factor runaway threshold; if no uncontrolled item exists in the operation of the radiation cooling and heating window at the capturing time point i, marking the capturing time point i as a stable time point, otherwise, calculating the ratio of the number of uncontrolled items to the number of controllable items, and marking the ratio result of the uncontrolled item and the controllable item as a loss ratio coefficient;
the loss ratio coefficient is compared with a preset loss ratio coefficient threshold value in a numerical mode, if the loss ratio coefficient exceeds the preset loss ratio coefficient threshold value, the capturing time point i is marked as a deep abnormal time point, otherwise, the capturing time point i is marked as a shallow abnormal time point; the method comprises the steps of collecting the stable time point quantity, the deep time point quantity and the shallow time point quantity of a capturing period, carrying out normalization calculation on the stable time point quantity, the deep time point quantity and the shallow time point quantity, taking the numerical value, marking the numerical value as a capturing coefficient, carrying out numerical comparison on the capturing coefficient and a preset capturing coefficient threshold value, generating an operation state disqualification signal if the capturing coefficient exceeds the preset capturing coefficient threshold value, and generating an operation state qualification signal if the capturing coefficient does not exceed the preset capturing coefficient threshold value.
4. The intelligent temperature control management system for a radiant cooling and heating window according to claim 1, wherein the operation process of the intelligent control display module further comprises:
acquiring a real-time image of a display area, capturing and identifying personnel in the real-time image, marking the time when no personnel exist in the real-time image as an unmanned initial time, timing by taking the unmanned initial time as a time starting point to obtain an invalid display time length, respectively comparing the invalid display time length with a preset first time length threshold value and a preset second time length threshold value, wherein the preset first time length threshold value is less than the preset second time length threshold value, reducing the display brightness to two thirds of the current brightness if the preset first time length threshold value is less than or equal to the invalid display time length less than the preset second time length threshold value, and directly entering a dark screen mode if the invalid display time length is more than or equal to the preset second time length threshold value.
5. The intelligent temperature control management system suitable for the radiation cooling and heating window according to claim 1, wherein the server is in communication connection with an execution evaluation judging module, the execution evaluation judging module is used for setting an execution evaluation period, performing operation evaluation judgment based on temperature control operation information of the radiation cooling and heating window in the execution evaluation period, generating an evaluation qualified signal or an evaluation unqualified signal through the evaluation judgment, and sending the evaluation unqualified signal to the intelligent control display module for display through the server; the specific judgment and analysis process of the operation evaluation judgment is as follows:
collecting the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals of an execution evaluation period radiation cooling and heating window, carrying out summation calculation on the times of generating execution deviation unqualified signals, the times of generating operation state unqualified signals and the times of generating operation state qualified signals to obtain an operation frequency value, carrying out summation calculation on the times of generating execution deviation unqualified signals and the times of generating operation state qualified signals to obtain a negative face value, carrying out ratio calculation on the negative face value and the operation frequency value, marking the ratio result of the negative face value and the operation frequency value as a negative occupation value, carrying out numerical calculation on the negative occupation value and the negative value to obtain an operation evaluation value, carrying out numerical comparison on the operation evaluation value and a preset operation evaluation threshold value, and generating an evaluation unqualified signal if the operation evaluation value exceeds the preset operation evaluation threshold value, otherwise, and generating an evaluation qualified signal.
6. The intelligent temperature control management system suitable for the radiation cooling and heating window according to claim 5 is characterized in that when an operation evaluation qualified signal is generated, operation evaluation values of a plurality of adjacent execution evaluation periods are obtained, the operation evaluation values are filled into a cylindrical chart according to time sequence and according to the numerical values of the operation evaluation values, a plurality of evaluation columns are generated, if the lengths of the evaluation columns are in a continuously-growing state, midpoints of two adjacent groups of evaluation columns are connected through line segments, the included angles of the corresponding line segments and a horizontal line are marked as increment values, all increment values are summed up and calculated, an increment rate average value is obtained, and if the increment rate average value exceeds a preset increment rate average value threshold value, an evaluation early warning signal is generated.
7. The intelligent temperature control management system for a radiation cooling and heating window according to claim 5, wherein the server is in communication connection with the overhaul management analysis module, the execution evaluation judgment module sends an evaluation qualified signal to the overhaul management analysis module through the server, and the overhaul management analysis module performs the following analysis after receiving the evaluation qualified signal:
acquiring an overhaul duration span value of the radiation cooling and heating window, generating an overhaul signal if the overhaul duration span value exceeds a preset overhaul duration span threshold value, otherwise acquiring a production duration span value and a use duration span value of the radiation cooling and heating window, and distributing an overhaul influence value KP1 if the production duration span value does not exceed the preset production duration span threshold value and the use duration span value does not exceed the preset use duration span threshold value, or distributing an overhaul influence value KP2 if the production duration span value does not exceed the preset use duration span threshold value, and the overhaul influence value KP1 is more than 0 and less than KP2;
subtracting an overhaul duration span value from a preset overhaul duration span threshold value to obtain a duration span difference value, subtracting an operation evaluation value from a preset operation evaluation threshold value to obtain an operation evaluation value, carrying out normalization calculation on the duration span difference value, the operation evaluation value and a corresponding overhaul influence value, marking a calculation result as a total detection value, carrying out numerical comparison on the total detection value and a preset total detection threshold value, and generating an overhaul signal if the total detection value does not exceed the preset total detection threshold value; and sending the overhaul signal to the user terminal through the server, and carrying out comprehensive inspection and maintenance on the radiation cooling and heating window in time after the user terminal receives the overhaul signal.
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