CN112686112B - Energy-saving heating operation control platform - Google Patents
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Abstract
The invention relates to an energy-saving heating operation control platform, comprising: the continuous acquisition mechanism is arranged in a room and positioned at the position of an entrance, and is used for executing continuous multi-frame image data acquisition on the position of the entrance by adopting a preset frame rate so as to obtain corresponding multi-frame entrance acquisition images; the audio capturing mechanism is composed of audio capturing units arranged at various positions in the room and used for respectively capturing real-time audio signals at various positions in the room; and the heating opening mechanism is used for automatically opening the heating equipment in the room before the next door entry time information which is not reached at the current time according to the received heating opening time. By the method and the device, the automatic heating starting time can be selected on the basis of intelligent control based on a deep learning model, so that dynamic balance between the heating effect and energy conservation and environmental protection is achieved.
Description
Technical Field
The invention relates to the field of heating control, in particular to an energy-saving heating operation control platform.
Background
The heating is a central heating facility in the narrow sense. The steam or hot water produced by the boiler is delivered to a radiator (namely a radiator) in a room or a vehicle body by a pipeline (namely a heating pipe), the heat is radiated, the room temperature is increased, and then the steam flows back to the boiler to be reheated and circulated. The heating water is regulated to use clean water to be beneficial to the health of people. Heating must use clean water to benefit the environment. Heating must use clean water to benefit the heating enterprise image.
"radiators" are sometimes also referred to as "heating". Cities north of Qinling-Huaihe province in China (northern Shaanxi, northern Henan, Shandong, Hebei, Beijing, Tianjin, Shanxi, Gansu, Qinghai, Ningxia, inner Mongolia, Xinjiang, Heilongjiang, Jilin, Liaoning, etc.) are all built with heating pipeline networks of whole city scale, operated by government or government-specified companies, and provide centralized heating service in winter, with different service levels, charging standards and heating start-stop dates in various regions.
Cities in the south of Qinling mountain-Huaihe generally do not have heating networks of the whole city scale, but have heating networks of smaller scale (such as in a residential district, in a campus, in a factory).
The central heating has the advantages of obvious benefits, good heating effect, high resource utilization rate and low average cost. The defects mainly comprise: the resident has no option and cannot adjust the temperature; the heating effect of high-rise residents is relatively poor, and the charging is the same; some residents are defaulted, but the heating is normally used, and the local area is not fair (at this point, the individual area starts to change the pipe network facilities into one valve for each household, and heating for the defaulted residents is refused).
At present, as a main heating facility for indoor temperature rise and heat preservation, the heating device has the defects that the opening time is too early or too late. If the opening time is too early, the temperature of the indoor space is raised for a long time before the person returns home, the heating power is wasted, and on the contrary, if the opening time is too late, the temperature of the indoor space is not raised completely when the person returns home, the heating effect is greatly reduced.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides an energy-saving heating operation control platform which can adopt a targeted heating starting control mechanism to select the automatic starting time of a heating, and reduce unnecessary energy consumption waste as much as possible while ensuring that the room temperature is adjusted to the preset temperature before a person returns home.
For this reason, the present invention needs to have at least the following important points:
(1) the automatic opening time of the heater before each time of the family arrival of the personnel is judged by adopting a deep learning model, so that the reliable room temperature is provided before the personnel enter the door, and meanwhile, the energy is saved and the environment is protected;
(2) and introducing a model establishing mechanism to train the deep learning model, wherein the deep learning model is trained by adopting the time of returning home of a plurality of persons as input data and adopting the average value of a plurality of heating opening times before the time of returning home of the plurality of persons as output data, and the heating opening time before the time of returning home of each person is the time for ensuring that the temperature in the room just rises to the set room temperature when the time of returning home of the persons arrives.
According to an aspect of the present invention, there is provided an energy-saving heating operation control platform, the platform comprising;
and the continuous acquisition mechanism is arranged in the room and positioned at the position of the entrance, and is used for executing continuous multi-frame image data acquisition on the position of the entrance by adopting a preset frame rate so as to obtain corresponding multi-frame entrance acquisition images.
More specifically, in the energy-saving heating operation control platform, the platform further includes:
the audio capturing mechanism is composed of audio capturing units arranged at various positions in the room and used for respectively capturing real-time audio signals at various positions in the room.
More specifically, in the energy-saving heating operation control platform, the platform further includes:
the data processing equipment is connected with the continuous acquisition mechanism and is used for executing image data interpolation processing based on a cubic polynomial on each frame of the received door-entering acquisition image so as to obtain a corresponding polynomial interpolation image;
the spatial domain operation equipment is connected with the data processing equipment and is used for carrying out image data sharpening processing based on a spatial domain differential mode on the received polynomial interpolation image so as to obtain a corresponding spatial domain operation image, and the spatial domain operation equipment outputs a plurality of frames of spatial domain operation images;
the first analysis mechanism is respectively connected with each audio capturing unit and is used for sending out a first control command when the audio capturing units do not detect the voice component of the person for a long time;
the second analysis mechanism is connected with the airspace operation equipment and used for identifying the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multi-frame airspace operation image;
the third analysis mechanism is connected with the second analysis mechanism and is used for detecting whether the walking track of the personnel target is a track entering a room or not based on the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multiple frames of airspace operation images;
the field timing equipment is connected with the third analysis mechanism and used for counting time information when a track entering a room occurs every time to serve as entrance time information, and the entrance time information takes minutes as a unit;
the opportunity detection equipment is connected with the on-site timing equipment and is used for taking a plurality of pieces of entrance time information with the latest preset number as input data of a deep learning model so as to obtain output data of the deep learning model, namely heating opening time;
the model establishing mechanism is connected with the opportunity detection equipment and used for establishing the deep learning model, and training the deep learning model by using the time of returning a plurality of persons as input data and using the average value of a plurality of heating opening times before the time of returning the plurality of persons as output data;
the heating opening mechanism is connected with the time detection equipment and used for automatically opening the heating equipment in the room before the next door entry time information which is not reached at the current time according to the heating opening time;
wherein, adopt a plurality of personnel time of returning home as input data, adopt a plurality of personnel time of returning home before the mean value of heating installation open time as output data, it includes to train the deep learning model: the opening time of the heater before the time of each person going home is the time for ensuring that the temperature in the room is just raised to the set room temperature when the time of the person going home is reached;
wherein, in the time detection device, the warm air opening time is earlier than each of a plurality of pieces of entry time information of a historically recent preset number.
According to another aspect of the invention, an energy-saving heating operation control method is further provided, and the method comprises the step of intelligently judging the heating opening time in advance according to the historical personnel entry time by using the energy-saving heating operation control platform so as to provide reliable room temperature before personnel enter the door, and simultaneously save energy and protect environment.
By adopting the energy-saving type heating operation control platform, aiming at the technical problem that the indoor heating cannot meet the requirements of two aspects of heating effect and energy conservation and environmental protection at the same time when being started too early or too late in the prior art, the automatic heating starting time is selected by introducing an intelligent control mechanism based on a deep learning model, so that the dynamic balance between the heating effect and the energy conservation and environmental protection is achieved.
Detailed Description
Embodiments of the energy-saving heating operation control platform of the present invention will be described in detail below.
Recent studies have shown that: the pollution caused by social industrial production only accounts for forty-one percent of the pollution source, and the pollution caused by modern families accounts for fifty-nine percent. Compared with the society, although the family is only one cell of the society, the family is relatively serious in terms of pollution hazard degree, and hundreds of toxic and harmful substances are detected, and more than ten toxic and harmful substances are common. There is a set of statistical data that further confirms the harmfulness of household pollution: namely, one household needs to make eight kilograms of garbage per day on average, and discard five non-decomposable plastic bags and two to three disposable lunch boxes; one family can averagely produce two hundred kilograms of waste water in one day due to hair washing, bathing, clothes washing and the like; one household uses twenty grams of chemicals on average per day, etc. The pollutants and the domestic wastewater converged into rivers pollute our land, rivers and oceans all the time.
In terms of energy waste, households also have a considerable weight. A plurality of televisions are simultaneously started; a plurality of computers are used simultaneously; the power supply is not cut off when the television is not watched, and the television is in a standby state for a long time; several dozens of hundreds of watts of incandescent lamps are started at the same time; when the sound control lamp sensor is broken, the lamp is lighted up without any time; the water dispenser operates for 24 hours; some electric heating users use several kilowatt big electric furnaces to blink or not blink in winter; when the faucet is turned on, the user can keep the water for a few minutes and then slowly wash the face and mouth after hot water comes out.
The drop, seemed to be negligible. However, the phenomenon of energy waste in residential areas is quite remarkable due to the fact that the drops are dropped. By checking our behaviors, the 'unconscious waste' is common, and the precious energy wasted in the family life is too much. The habit becomes natural, and a lot of waste phenomena are the habit developed by people for a long time and are common, so the habit is not considered much in the aspect of saving household energy. However, in real life, people need to change the careless waste habits, which are simple and only need to put up their hands.
The good living and working environment is the condition for human beings to live, and the protection of the environment is the protection of the human beings. In the face of the reality of the increasingly deteriorated ecological environment and the increasingly shortage of resources, people should realize consciously that: saving the earth, protecting the environment and saving energy are the common responsibility of people. The household energy conservation and environmental protection are closely related to our lives and can be carried out easily, the household energy conservation and environmental protection work is well done, not only is the resources saved, but also certain expenditure is saved for the family, and two purposes are achieved at one stroke.
At present, as a main heating facility for indoor temperature rise and heat preservation, the heating device has the defects that the opening time is too early or too late. If the opening time is too early, the temperature of the indoor space is raised for a long time before the person returns home, the heating power is wasted, and on the contrary, if the opening time is too late, the temperature of the indoor space is not raised completely when the person returns home, the heating effect is greatly reduced.
In order to overcome the defects, the invention builds an energy-saving heating operation control platform and can effectively solve the corresponding technical problems.
The energy-saving heating operation control platform according to the embodiment of the invention comprises:
and the continuous acquisition mechanism is arranged in the room and positioned at the position of the entrance, and is used for executing continuous multi-frame image data acquisition on the position of the entrance by adopting a preset frame rate so as to obtain corresponding multi-frame entrance acquisition images.
Next, a specific configuration of the energy-saving heating operation control platform according to the present invention will be further described.
The energy-saving heating operation control platform can further comprise:
the audio capturing mechanism is composed of audio capturing units arranged at various positions in the room and used for respectively capturing real-time audio signals at various positions in the room.
The energy-saving heating operation control platform can further comprise:
the data processing equipment is connected with the continuous acquisition mechanism and is used for executing image data interpolation processing based on a cubic polynomial on each frame of the received door-entering acquisition image so as to obtain a corresponding polynomial interpolation image;
the spatial domain operation equipment is connected with the data processing equipment and is used for carrying out image data sharpening processing based on a spatial domain differential mode on the received polynomial interpolation image so as to obtain a corresponding spatial domain operation image, and the spatial domain operation equipment outputs a plurality of frames of spatial domain operation images;
the first analysis mechanism is respectively connected with each audio capturing unit and is used for sending out a first control command when the audio capturing units do not detect the voice component of the person for a long time;
the second analysis mechanism is connected with the airspace operation equipment and used for identifying the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multi-frame airspace operation image;
the third analysis mechanism is connected with the second analysis mechanism and is used for detecting whether the walking track of the personnel target is a track entering a room or not based on the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multiple frames of airspace operation images;
the field timing equipment is connected with the third analysis mechanism and used for counting time information when a track entering a room occurs every time to serve as entrance time information, and the entrance time information takes minutes as a unit;
the opportunity detection equipment is connected with the on-site timing equipment and is used for taking a plurality of pieces of entrance time information with the latest preset number as input data of a deep learning model so as to obtain output data of the deep learning model, namely heating opening time;
the model establishing mechanism is connected with the opportunity detection equipment and used for establishing the deep learning model, and training the deep learning model by using the time of returning a plurality of persons as input data and using the average value of a plurality of heating opening times before the time of returning the plurality of persons as output data;
the heating opening mechanism is connected with the time detection equipment and used for automatically opening the heating equipment in the room before the next door entry time information which is not reached at the current time according to the heating opening time;
wherein, adopt a plurality of personnel time of returning home as input data, adopt a plurality of personnel time of returning home before the mean value of heating installation open time as output data, it includes to train the deep learning model: the opening time of the heater before the time of each person going home is the time for ensuring that the temperature in the room is just raised to the set room temperature when the time of the person going home is reached;
wherein, in the time detection device, the warm air opening time is earlier than each of a plurality of pieces of entry time information of a historically recent preset number.
The energy-saving heating operation control platform can further comprise:
and the manual opening mechanism is used for executing the closing operation of the heating equipment in the room in a manual control mode when people leave the room.
The energy-saving heating operation control platform can further comprise:
the parallel data bus is respectively connected with the first analysis mechanism, the second analysis mechanism, the third analysis mechanism, the data processing equipment and the airspace operating equipment;
the parallel data bus is a data link for establishing parallel data communication between the first analysis mechanism, the second analysis mechanism, the third analysis mechanism, the data processing equipment and the airspace operating equipment.
Among the energy-saving heating installation operation control platform:
the continuous acquisition mechanism, the data processing equipment and the airspace operating equipment are all connected with the first analysis mechanism and used for entering a running state when receiving the first control command.
Among the energy-saving heating installation operation control platform:
the continuous acquisition mechanism, the data processing equipment and the airspace operating equipment are also used for entering a power-saving state when receiving the second control command.
Among the energy-saving heating installation operation control platform:
issuing a first control command when the individual audio capturing units do not detect the human voice component for a long time includes: and when the voice components of the person are not detected by the audio capturing units within the preset time length, a first control command is sent out.
Among the energy-saving heating installation operation control platform:
the first analysis mechanism is also used for sending out a second control command when the audio capture units detect the voice components of the person for a long time;
wherein, when the audio capturing units detect the sound component of the person for a long time, the issuing of the second control command comprises: and when the voice components of the person are detected by the audio capturing units within the preset time length, a second control command is sent out.
Meanwhile, in order to overcome the defects, the invention also builds an energy-saving heating operation control method, which comprises the step of intelligently judging the heating opening time in advance according to the historical personnel entry time by using the energy-saving heating operation control platform so as to provide reliable room temperature before personnel enter the door, and simultaneously save energy and protect environment.
In addition, in the energy-saving heating operation control platform, the first analysis mechanism, the second analysis mechanism and the third analysis mechanism are respectively realized by different types of non-bus type single-chip microcomputers. The single chip computer (Microcontrollers) is an integrated circuit chip, and is a small and perfect microcomputer system formed by integrating the functions of a central processing unit CPU with data processing capacity, a random access memory RAM, a read only memory ROM, various I/O ports, an interrupt system, a timer/counter and the like (possibly including a display drive circuit, a pulse width modulation circuit, an analog multiplexer, an A/D converter and the like) on a silicon chip by adopting a super-large scale integrated circuit technology, and is widely applied to the field of industrial control. The bus type single chip microcomputer is generally provided with a parallel address bus, a data bus and a control bus, pins for expanding parallel peripheral devices can be connected with the single chip microcomputer through serial ports, in addition, a plurality of single chip microcomputers integrate the required peripheral devices and peripheral interfaces into one chip, so that the parallel expansion bus can be omitted under many conditions, the packaging cost and the chip volume are greatly reduced, and the single chip microcomputer is called as a non-bus type single chip microcomputer.
By adopting the energy-saving type heating operation control platform, aiming at the technical problem that the indoor heating cannot meet the requirements of two aspects of heating effect and energy conservation and environmental protection at the same time when being started too early or too late in the prior art, the automatic heating starting time is selected by introducing an intelligent control mechanism based on a deep learning model, so that the dynamic balance between the heating effect and the energy conservation and environmental protection is achieved.
While the foregoing has been described as best modes and/or other examples, it is to be understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that the teachings may be applied in numerous applications, only some of which have been disclosed herein. The following claims are intended to claim any and all applications, modifications and variations that fall within the true scope of the present teachings.
Claims (8)
1. An energy-saving heating operation control platform, its characterized in that, the platform includes:
the continuous acquisition mechanism is arranged in a room and positioned at the position of an entrance, and is used for executing continuous multi-frame image data acquisition on the position of the entrance by adopting a preset frame rate so as to obtain corresponding multi-frame entrance acquisition images;
the audio capturing mechanism is composed of audio capturing units arranged at various positions in the room and used for respectively capturing real-time audio signals at various positions in the room;
the data processing equipment is connected with the continuous acquisition mechanism and is used for executing image data interpolation processing based on a cubic polynomial on each frame of the received door-entering acquisition image so as to obtain a corresponding polynomial interpolation image;
the spatial domain operation equipment is connected with the data processing equipment and is used for carrying out image data sharpening processing based on a spatial domain differential mode on the received polynomial interpolation image so as to obtain a corresponding spatial domain operation image, and the spatial domain operation equipment outputs a plurality of frames of spatial domain operation images;
the first analysis mechanism is respectively connected with each audio capturing unit and is used for sending out a first control command when the audio capturing units do not detect the voice component of the person for a long time;
the first analysis mechanism is also used for sending out a second control command when the audio capture units detect the voice components of the person for a long time;
the second analysis mechanism is connected with the airspace operation equipment and used for identifying the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multi-frame airspace operation image;
the third analysis mechanism is connected with the second analysis mechanism and is used for detecting whether the walking track of the personnel target is a track entering a room or not based on the distribution shape corresponding to the same personnel target in each frame of airspace operation image in the multiple frames of airspace operation images;
the field timing equipment is connected with the third analysis mechanism and used for counting time information when a track entering a room occurs every time to serve as entrance time information, and the entrance time information takes minutes as a unit;
the opportunity detection equipment is connected with the on-site timing equipment and is used for taking a plurality of pieces of entrance time information with the latest preset number as input data of a deep learning model so as to obtain output data of the deep learning model, namely heating opening time;
the model establishing mechanism is connected with the opportunity detection equipment and used for establishing the deep learning model, and training the deep learning model by using the time of returning a plurality of persons as input data and using the average value of a plurality of heating opening times before the time of returning the plurality of persons as output data;
the heating opening mechanism is connected with the opportunity detection equipment and used for automatically opening the heating equipment in the room before the next door entry time information which is not reached at the current time according to the heating opening time;
wherein, adopt a plurality of personnel time of returning home as input data, adopt a plurality of personnel time of returning home before the mean value of heating installation open time as output data, it includes to train the deep learning model: the opening time of the heater before the time of each person going home is the time for ensuring that the temperature in the room is just raised to the set room temperature when the time of the person going home is reached;
wherein, in the timing detection apparatus, the warm air opening time is earlier than each of a plurality of pieces of entry time information of a historically recent preset number.
2. The energy efficient heater operation control platform of claim 1, wherein the platform further comprises:
and the manual opening mechanism is used for executing the closing operation of the heating equipment in the room in a manual control mode when people leave the room.
3. The energy efficient heater operation control platform of claim 2, wherein the platform further comprises:
the parallel data bus is respectively connected with the first analysis mechanism, the second analysis mechanism, the third analysis mechanism, the data processing equipment and the airspace operating equipment;
the parallel data bus is a data link for establishing parallel data communication between the first analysis mechanism, the second analysis mechanism, the third analysis mechanism, the data processing equipment and the airspace operating equipment.
4. The energy-saving heating operation control platform according to claim 3, wherein:
the continuous acquisition mechanism, the data processing equipment and the airspace operating equipment are all connected with the first analysis mechanism and used for entering a running state when receiving the first control command.
5. The energy-saving heating operation control platform according to claim 4, wherein:
the continuous acquisition mechanism, the data processing equipment and the airspace operating equipment are also used for entering a power-saving state when receiving the second control command.
6. The energy-saving heating operation control platform according to claim 5, wherein:
issuing a first control command when the individual audio capturing units do not detect the human voice component for a long time includes: and when the voice components of the person are not detected by the audio capturing units within the preset time length, a first control command is sent out.
7. The energy-saving heating operation control platform according to claim 6, wherein:
wherein, when the audio capturing units detect the sound component of the person for a long time, the issuing of the second control command comprises: and when the voice components of the person are detected by the audio capturing units within the preset time length, a second control command is sent out.
8. An energy-saving heating operation control method, which comprises the step of intelligently judging the heating opening time in advance according to the historical personnel entry time by using the energy-saving heating operation control platform according to any one of claims 1 to 7 so as to provide reliable room temperature before personnel enter, and simultaneously save energy and protect environment.
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