Power-saving regulation and control equipment applying AI analysis model

Abstract

The invention relates to power-saving regulation and control equipment applying an AI analysis model. The device comprises an analysis execution mechanism which is used for intelligently analyzing the number of passing vehicles at a set traffic intersection in a current time segment by adopting an AI analysis model according to multiple related information of the set traffic intersection; and the automatic regulation and control mechanism is used for automatically regulating and controlling the signal indicating lamp of the set traffic intersection to be in a dormant state when the received number of the passing vehicles of the set traffic intersection in the current time segment is smaller than or equal to the preset number of the vehicles, otherwise, automatically regulating and controlling the signal indicating lamp of the set traffic intersection to be in a working state. Through the equipment, an AI analysis model designed in a targeted manner can be constructed, and the number of passing vehicles at the set traffic intersection in the current time segment can be intelligently analyzed according to multiple related information of the set traffic intersection, so that key data are provided for a subsequent power-saving control strategy of the set traffic intersection.

Description

Technical Field

[0001] The present invention relates to the field of power saving control, and more specifically, to a power saving control device using an AI analysis model. Background Art

[0002] Power saving can refer to the fact that electrical appliances consume relatively less electricity in the same period of time. Power-saving appliances use less power under the same efficacy, that is, the effective power is high. Power saving can also refer to saving electricity, because power generation requires resources. In order to save resources, we must save electricity, use power-saving appliances, and develop good habits of saving. For example, for air conditioners, choose air conditioners with moderate capacity. An air conditioner with insufficient cooling capacity will not only fail to provide sufficient cooling effect, but also increase the possibility of failure due to long-term uninterrupted operation of the machine, and will give users a bad impression of high power consumption and insufficient power. An air conditioner with excessive cooling power will cause the air conditioner thermostat to switch on and off too frequently, resulting in increased wear on the compressor; at the same time, it will cause the air conditioner to consume more power.

[0003] As for the signal indicator lights at the set traffic intersections, when the number of vehicles passing through a certain time segment is small, it is necessary to automatically adjust the signal indicator lights at the set traffic intersections to a dormant state, such as a flashing yellow light; and when the number of vehicles passing through a certain time segment is large, the signal indicator lights at the set traffic intersections are automatically adjusted to a working state, that is, the three signal lights switch display states. However, the problem is that it is difficult to predict the number of vehicles passing through the set traffic intersections in future time segments. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a power-saving control device using an AI analysis model, by constructing a targeted AI analysis model, specifically, training a deep neural network for each time to obtain a deep neural network after each training and outputting it as an AI analysis model, thereby providing a model basis for predicting and analyzing the number of passing vehicles in the current time segment of a set traffic intersection, and calculating the number of passing vehicles in the previous time segment of the current time segment of each other traffic intersection around the set traffic intersection, the number of passing vehicles corresponding to each of the past time segments of a preset number before the current time segment of the set traffic intersection, and the number of passing vehicles at the multiple time segments of the set traffic intersection. The intersection information is used as multiple basic data for the AI ​​analysis model to perform analysis and processing, thereby ensuring the stability and reliability of the analysis results. An automatic control mechanism is also introduced to automatically control the signal indicator light of the traffic intersection to a dormant state when the number of passing vehicles at the set traffic intersection obtained by intelligent analysis in the current time segment is less than or equal to the preset number of vehicles. Otherwise, the signal indicator light of the traffic intersection is automatically set to a working state. In the dormant state, the signal indicator light at the traffic intersection is set to a yellow light strobe mode, and in the working state, the signal indicator light at the traffic intersection is set to a red, yellow and green three-light linkage mode, thereby completing the intelligent power saving processing of the signal indicator light at the set traffic intersection.

[0005] According to the present invention, a power saving control device using an AI analysis model is provided, the device comprising: A target reconstruction device is used for an AI analysis model corresponding to a deep neural network mapping, wherein the AI ​​analysis model corresponding to the deep neural network mapping includes: training the deep neural network for each time to obtain a deep neural network after each training and outputting the deep neural network as an AI analysis model; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection; The intersection detection device is used to output the number of connected roads of the set traffic intersection, the number of permanent residents of nearby residential buildings and the population of the city as multiple intersection information of the set traffic intersection; An analysis execution mechanism is connected to the target reconstruction device, the content acquisition device and the intersection detection device respectively, and is used to adopt an AI analysis model to intelligently analyze the number of passing vehicles at the set traffic intersection in the current time segment according to the number of passing vehicles at other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, and multiple intersection information of the set traffic intersection; An automatic control mechanism, connected to the analysis execution mechanism, is used to automatically control the signal indicator light of the set traffic intersection to a dormant state when the number of passing vehicles at the set traffic intersection in the current time segment received is less than or equal to the preset number of vehicles, otherwise, automatically control the signal indicator light of the set traffic intersection to a working state; The automatic control mechanism is connected to the analysis execution mechanism, and is used to automatically control the signal indicator light of the traffic intersection to be in a dormant state when the number of passing vehicles at the received set traffic intersection in the current time segment is less than or equal to the preset number of vehicles. Otherwise, the automatic control of setting the signal indicator light of the traffic intersection to a working state includes: in the dormant state, setting the signal indicator light of the traffic intersection to a yellow light strobe mode, and in the working state, setting the signal indicator light of the traffic intersection to a red, yellow and green three-light linkage mode; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, including: the duration of each time segment is equal, and the preset number of past time segments before the current time segment include the previous time segment of the current time segment; Among them, the content collection device is used to collect the number of passing vehicles in the previous time segment of the current time segment at other traffic intersections around the set traffic intersection, and collect the number of passing vehicles corresponding to each preset number of past time segments before the current time segment at the set traffic intersection, and also includes: the value of the preset number is proportional to the number of connecting roads of the set traffic intersection.

[0006] It can be seen that the present invention has at least the following three important inventive concepts: First: construct a targeted AI analysis model. Specifically, the deep neural network is trained each time to obtain the deep neural network after each training and output as the AI ​​analysis model, so as to provide a model basis for the prediction and analysis of the number of passing vehicles in the current time segment of the set traffic intersection; Second, the number of vehicles passing through other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of vehicles passing through each of the preset number of past time segments before the current time segment of the set traffic intersection, and multiple intersection information of the set traffic intersection are used as multiple basic data for the AI ​​analysis model to perform analysis and processing, thereby ensuring the stability and reliability of the analysis results; Third: an automatic control mechanism is introduced to automatically control the signal indicator light of the traffic intersection to a dormant state when the number of passing vehicles at the set traffic intersection in the current time segment obtained by intelligent analysis is less than or equal to the preset number of vehicles. Otherwise, the signal indicator light of the traffic intersection is automatically set to a working state. In the dormant state, the signal indicator light of the traffic intersection is set to a yellow light strobe mode, and in the working state, the signal indicator light of the traffic intersection is set to a red, yellow and green three-light linkage mode, thereby completing the intelligent power saving processing of the signal indicator light of the set traffic intersection.

[0007] The power-saving control device using the AI ​​analysis model of the present invention is widely used and intelligently designed. By constructing a targeted AI analysis model and intelligently analyzing the number of vehicles passing through the traffic intersection in the current time segment according to multiple related information of the set traffic intersection, key data is provided for the subsequent power-saving control strategy of the set traffic intersection. DETAILED DESCRIPTION

[0008] The power saving control device using the AI ​​analysis model according to the primary embodiment of the present invention includes: A target reconstruction device is used for an AI analysis model corresponding to a deep neural network mapping, wherein the AI ​​analysis model corresponding to the deep neural network mapping includes: training the deep neural network for each time to obtain a deep neural network after each training and outputting the deep neural network as an AI analysis model; For example, a target reconstruction device is used for an AI analysis model corresponding to a deep neural network mapping, and the AI ​​analysis model corresponding to the deep neural network mapping includes: training the deep neural network for each time to obtain the deep neural network after each training and outputting it as an AI analysis model, including: selecting and using a field programmable logic device to implement the target reconstruction device, and the AI ​​analysis model corresponding to the deep neural network mapping is used for: training the deep neural network for each time to obtain the deep neural network after each training and outputting it as an AI analysis model; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection; The intersection detection device is used to output the number of connected roads of the set traffic intersection, the number of permanent residents of nearby residential buildings and the population of the city as multiple intersection information of the set traffic intersection; An analysis execution mechanism is connected to the target reconstruction device, the content acquisition device and the intersection detection device respectively, and is used to adopt an AI analysis model to intelligently analyze the number of passing vehicles at the set traffic intersection in the current time segment according to the number of passing vehicles at other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, and multiple intersection information of the set traffic intersection; An automatic control mechanism, connected to the analysis execution mechanism, is used to automatically control the signal indicator light of the set traffic intersection to a dormant state when the number of passing vehicles at the set traffic intersection in the current time segment received is less than or equal to the preset number of vehicles, otherwise, automatically control the signal indicator light of the set traffic intersection to a working state; The automatic control mechanism is connected to the analysis execution mechanism, and is used to automatically control the signal indicator light of the traffic intersection to be in a dormant state when the number of passing vehicles at the received set traffic intersection in the current time segment is less than or equal to the preset number of vehicles. Otherwise, the automatic control of setting the signal indicator light of the traffic intersection to a working state includes: in the dormant state, setting the signal indicator light of the traffic intersection to a yellow light strobe mode, and in the working state, setting the signal indicator light of the traffic intersection to a red, yellow and green three-light linkage mode; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, including: the duration of each time segment is equal, and the preset number of past time segments before the current time segment include the previous time segment of the current time segment; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each preset number of past time segments before the current time segment at the set traffic intersection, and further includes: the value of the preset number is proportional to the number of connecting roads of the set traffic intersection; Among them, the intersection detection device is used to output the number of connecting roads of the set traffic intersection, the number of permanent residents in nearby residential buildings and the population of the city as multiple intersection information of the set traffic intersection, including: taking the residential buildings whose distance to the set traffic intersection is less than or equal to the set distance threshold as the nearby residential buildings of the set traffic intersection, and taking the cumulative value of the number of permanent residents corresponding to each nearby residential building of the set traffic intersection as the number of permanent residents in the nearby residential buildings of the set traffic intersection.

[0009] Different from the primary embodiment of the present invention, the power saving control device using the AI ​​analysis model in the secondary embodiment of the present invention may also include the following components: A power detection mechanism, comprising a plurality of power detection units, for respectively detecting the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device; The power detection mechanism includes a plurality of power detection units, and is used to respectively detect the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device, and the intersection detection device, including: calculating the current input power of each of the analysis execution mechanism, the target reconstruction device, the content acquisition device, and the intersection detection device by respectively measuring the real-time power supply voltage and the real-time power supply current for the analysis execution mechanism, the target reconstruction device, the content acquisition device, and the intersection detection device; The calculation of the respective current input powers is completed by measuring the real-time power supply voltage and the real-time power supply current for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device respectively, including: for any device of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, its current input power is the product of its real-time power supply voltage and its real-time power supply current; And wherein, the power detection mechanism includes a plurality of power detection units for respectively detecting the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and further includes: the plurality of power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device have the same power measurement upper limit threshold and power measurement lower limit threshold; And wherein, the power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and also includes: the internal structures of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device are the same.

[0010] Different from the primary embodiment of the present invention, the power saving control device using the AI ​​analysis model in the secondary embodiment of the present invention may also include the following components: An on-site notification mechanism, connected to a plurality of power detection units respectively used by the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, for performing corresponding power notification operations based on power measurement results of the plurality of power detection units respectively used by the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device; Wherein, the on-site notification mechanism is respectively connected to a plurality of power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and is used to perform corresponding power notification operations based on the power measurement results of the plurality of power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, including: the on-site notification mechanism includes a static storage unit for storing a power notification threshold; And wherein, the on-site notification mechanism is respectively connected to multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device. It also includes: the on-site notification mechanism performs corresponding power notification operations for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device based on the voice playback mode.

[0011] In addition, in the power-saving control device applying the AI ​​analysis model, the AI ​​analysis model is used to intelligently analyze the number of passing vehicles at the set traffic intersection in the current time segment according to the number of passing vehicles at other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of passing vehicles corresponding to each preset number of past time segments before the current time segment of the set traffic intersection, and multiple intersection information of the set traffic intersection, including: simultaneously inputting the number of passing vehicles at other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of passing vehicles corresponding to each preset number of past time segments before the current time segment of the set traffic intersection, and multiple intersection information of the set traffic intersection into the AI ​​analysis model, and executing the AI ​​analysis model to obtain the output of the number of passing vehicles at the set traffic intersection in the current time segment.

[0012] While embodiments of the present invention have been shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made without departing from the spirit and scope of the embodiments of the invention as defined by the following claims.

Claims

1. A power saving control device using an AI analysis model, characterized in that: The device comprises: A target reconstruction device is used for an AI analysis model corresponding to a deep neural network mapping, wherein the AI ​​analysis model corresponding to the deep neural network mapping includes: training the deep neural network for each time to obtain a deep neural network after each training and outputting the deep neural network as an AI analysis model; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection; The intersection detection device is used to output the number of connected roads of the set traffic intersection, the number of permanent residents of nearby residential buildings and the population of the city as multiple intersection information of the set traffic intersection; An analysis execution mechanism is connected to the target reconstruction device, the content acquisition device and the intersection detection device respectively, and is used to adopt an AI analysis model to intelligently analyze the number of passing vehicles at the set traffic intersection in the current time segment according to the number of passing vehicles at other traffic intersections around the set traffic intersection in the previous time segment of the current time segment, the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, and multiple intersection information of the set traffic intersection; An automatic control mechanism, connected to the analysis execution mechanism, is used to automatically control the signal indicator light of the set traffic intersection to a dormant state when the number of passing vehicles at the set traffic intersection in the current time segment received is less than or equal to the preset number of vehicles, otherwise, automatically control the signal indicator light of the set traffic intersection to a working state; The automatic control mechanism is connected to the analysis execution mechanism, and is used to automatically control the signal indicator light of the traffic intersection to be in a dormant state when the number of passing vehicles at the received set traffic intersection in the current time segment is less than or equal to the preset number of vehicles. Otherwise, the automatic control of setting the signal indicator light of the traffic intersection to a working state includes: in the dormant state, setting the signal indicator light of the traffic intersection to a yellow light strobe mode, and in the working state, setting the signal indicator light of the traffic intersection to a red, yellow and green three-light linkage mode; The content collection device is used to collect the number of passing vehicles at each other traffic intersection around the set traffic intersection in the previous time segment of the current time segment, and collect the number of passing vehicles corresponding to each of the preset number of past time segments before the current time segment at the set traffic intersection, including: the duration of each time segment is equal, and the preset number of past time segments before the current time segment include the previous time segment of the current time segment; Among them, the content collection device is used to collect the number of passing vehicles in the previous time segment of the current time segment at other traffic intersections around the set traffic intersection, and collect the number of passing vehicles corresponding to each preset number of past time segments before the current time segment at the set traffic intersection, and also includes: the value of the preset number is proportional to the number of connecting roads of the set traffic intersection.

2. The power saving control device using the AI ​​analysis model as claimed in claim 1, characterized in that: An intersection detection device, for outputting the number of connecting roads of a set traffic intersection, the number of permanent residents in nearby residential buildings, and the population of the city as multiple intersection information of the set traffic intersection, including: taking residential buildings whose distance to the set traffic intersection is less than or equal to a set distance threshold as nearby residential buildings of the set traffic intersection, and taking the cumulative value of the number of permanent residents corresponding to each nearby residential building of the set traffic intersection as the number of permanent residents in the nearby residential buildings of the set traffic intersection.

3. The power saving control device using the AI ​​analysis model as claimed in claim 2, characterized in that: The device also includes: A power detection mechanism, comprising a plurality of power detection units, for respectively detecting the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device; Among them, the power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, including: calculating the current input power of each of them by measuring the real-time power supply voltage and the real-time power supply current for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device respectively.

4. The power saving control device using the AI ​​analysis model as claimed in claim 3, characterized in that: The calculation of the respective current input powers is completed by measuring the real-time power supply voltage and the real-time power supply current for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device respectively, including: for any device of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, its current input power is the product of its real-time power supply voltage and its real-time power supply current.

5. The power saving control device using the AI ​​analysis model as claimed in claim 3, characterized in that: The power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device. It also includes: the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device have the same power measurement upper limit threshold and power measurement lower limit threshold.

6. The power saving control device using the AI ​​analysis model as claimed in claim 5, characterized in that: The power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device. It also includes: the internal structures of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device are the same.

7. The power saving control device using the AI ​​analysis model as claimed in claim 2, characterized in that: The device also includes: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device.

8. The power saving control device using the AI ​​analysis model as claimed in claim 7, characterized in that: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, including: the on-site notification mechanism includes a static storage unit for storing power notification thresholds.

9. The power saving control device using the AI ​​analysis model as claimed in claim 8, characterized in that: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device. It also includes: the on-site notification mechanism performs corresponding power notification operations for the analysis execution mechanism, the target reconstruction device, the content acquisition device and the intersection detection device based on the voice playback mode.