CN116321608A

CN116321608A - Intelligent illumination control method based on road detection

Info

Publication number: CN116321608A
Application number: CN202310265391.9A
Authority: CN
Inventors: 程国怀; 李瑞华; 申凯
Original assignee: Wisdri Engineering and Research Incorporation Ltd; Wisdri Urban Construction Engineering Technology Co Ltd
Current assignee: Wisdri Engineering and Research Incorporation Ltd; Wisdri Urban Construction Engineering Technology Co Ltd
Priority date: 2023-03-17
Filing date: 2023-03-17
Publication date: 2023-06-23

Abstract

The invention discloses an intelligent illumination control method based on road detection, which belongs to the technical field of road illumination control and comprises the following steps: acquiring a current road type, acquiring the road traffic flow of the current road, and acquiring the actual illuminance of the environment of the current road and the road humidity of the current road; inquiring an established expert knowledge base according to the current road type and the lighting time period, reasoning to obtain a lighting expert recommended value, and taking the lighting expert recommended value as a lighting set value; and the opening percentage of the single-lamp controller is obtained by combining the illuminance set value, the road traffic flow, the environment actual illuminance and the road humidity, so that the control of road illumination is realized. The intelligent illumination method comprehensively considers parameters such as traffic flow, illuminance, road surface humidity and the like which influence road illumination, and combines related standards and requirements to obtain a more intelligent and more reasonable intelligent illumination method.

Description

Intelligent illumination control method based on road detection

Technical Field

The invention belongs to the technical field of road illumination control, and particularly relates to an intelligent illumination control method based on road detection.

Background

Smart roads are an important component of smart cities. With the development of society, the road lighting setting in the living environment of people is increasing, and the lighting system faces new problems. On the one hand, the road illumination is continuously increased, corresponding road illumination facilities are increased, and the illumination system must consider the problem of electric resource conservation; on the other hand, road lighting arrangement relates to safety, and road lighting conditions in overcast and rainy days are poor, so that traffic accidents are very easy to occur, and the control of road lighting is required to be more intelligent and reasonable.

The existing road illumination control mainly adopts a timer or a light intensity detector, the lighting-on and lighting-off time is generally determined according to experience of operation and maintenance personnel or the illumination requirement, and the control method has the advantages of less and simpler consideration factors and insufficient control intelligence.

Disclosure of Invention

Aiming at the defects or improvement demands of the prior art, the invention provides an intelligent illumination control method based on road detection, and aiming at the characteristics of a road illumination system, a reliable and practical method is adopted, parameters such as traffic flow, illuminance, road surface humidity and the like which influence road illumination are comprehensively considered, and a more intelligent and reasonable intelligent illumination method is obtained by combining relevant standards and requirements.

In order to achieve the above object, the present invention provides an intelligent lighting control method based on road detection, comprising:

acquiring a current road type, acquiring the road traffic flow of the current road, and acquiring the actual illuminance of the environment of the current road and the road humidity of the current road;

inquiring an established expert knowledge base according to the current road type and the lighting time period, reasoning to obtain a lighting expert recommended value, and taking the lighting expert recommended value as a lighting set value;

and the opening percentage of the single-lamp controller is obtained by combining the illuminance set value, the road traffic flow, the environment actual illuminance and the road humidity, so that the control of road illumination is realized.

In some alternative embodiments, the method comprises

Obtaining the opening percentage of the single-lamp controller, wherein k represents the current road type number; s (i) represents a road humidity measurement value near the ith street lamp in the current road, and M (k) represents an illuminance expert recommendation value of the current road; n represents the number of road hygrometers arranged on the road; p represents a vehicle flow rate adjustment correction coefficient; t represents the actual illuminance of the environment; m represents the flow rate of the road traffic,

m=high, m=mid, m=low, HIGH, MID and LOW represent traffic flows, and the traffic flows of HIGH, MID and LOW decrease in sequence; s represents the switch lamp decision, ">

T (k, s, n, p) represents the output of the single lamp controller.

In some alternative embodiments, the expert knowledge base is determined as follows:

collecting expert knowledge of road illumination values from existing illumination characteristic data;

the method comprises the steps of expressing expert knowledge of road illumination values by using a rule method, generating a fact library and a rule library, wherein the fact library is a rule established by dividing and establishing facts according to the principle that road types are different and illumination time periods are different, and the rule library is a rule established by combining facts in the established fact library, and matching precondition facts in the rule library with facts of different road properties and different illumination time periods.

In some alternative embodiments, the inferring obtains luminance expert recommendations for illumination, comprising:

and according to the current road type and the illumination time period, removing facts and rules in a processing expert knowledge base, and reasoning to obtain the illumination expert recommendation value of illumination.

In some alternative embodiments, the step of inferring the illumination expert recommendation value of the illumination according to the facts and rules in the processing expert knowledge base according to the current road type and the illumination time period comprises the following steps:

matching the current road type and the lighting time period with facts in a fact base one by one and generating facts;

matching rule preconditions in the rule base with generated road types and lighting time period facts;

extracting the front of each rule, verifying whether the preconditions are in an expert knowledge base, if yes, successfully matching, otherwise, taking down one rule for matching;

and outputting the conclusion of the rule successfully matched to obtain the illumination expert recommended value of illumination.

In some alternative embodiments, the road traffic of the current road is obtained by a traffic flow detector installed at the road start and end points.

In some alternative embodiments, the road wetness is obtained by a road hygrometer in the vicinity of the road lights in the current road.

In some alternative embodiments, the actual illuminance of the environment is obtained by an illuminance meter of the control center.

In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:

the invention relates to a road illumination control method based on an expert system. Each street lamp is provided with a single lamp controller, a traffic flow detector is arranged at the starting and ending point of the road, a plurality of road hygrometers are arranged locally, and a control center is provided with an illuminance meter, so that illuminance control is realized by controlling the output percentage of each single lamp controller. Comprehensively considering parameters such as traffic flow, illuminance, road surface humidity and the like which influence road illumination, and combining relevant standards and requirements, obtaining a more intelligent and reasonable intelligent illumination method.

Drawings

Fig. 1 is a schematic diagram of a road lighting control method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an expert system for road illumination values according to an embodiment of the present invention;

fig. 3 is a flowchart of a road lighting control procedure according to an embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.

The invention provides an intelligent illumination control method based on road detection, which has the scheme principle that the scheme is as shown in figure 1, a current road type number k and an illumination set value are manually input, a traffic flow detector acquires the traffic flow of a road, an illumination meter ZT is installed to measure the actual illumination t of the environment, and a road hygrometer SE is installed to measure the humidity s (i) of the road. And inquiring the created expert knowledge base according to the current road type k and different illumination time periods thereof, and reasoning to obtain an illumination expert recommended value M (k) of illumination as an illumination set value. The opening percentage T (k, s, n, p) of the single-lamp controller is obtained by calculating according to the following formula (1) by combining known conditions such as illuminance set value, road traffic flow m, road environment actual illuminance T, road humidity s (i) and the like, so that the control of road illumination is realized.

In fig. 1, ZT represents an illuminance meter; ME represents a traffic flow detector; SE denotes a road hygrometer; k represents the current road type number; s (i) represents the measured value of the humidity of the road near the ith street lamp in the road, and the unit is; m represents a road traffic flow measurement; m (k) represents the expert recommended value of the illuminance of the road in units; t (k, s, n, p) represents the percent of single lamp controller output in%.

Wherein k represents the current road type number; s (i) represents the measured value of the road humidity in the vicinity of the ith street lamp in the road (the higher the road humidity, the higher the lighting demand, considering the humidity effect according to a 20% duty cycle); m (k) represents the expert recommended value of the illuminance of the road in units; n represents the number of road hygrometers arranged on the road; p represents a vehicle flow rate adjustment correction coefficient; t represents an actual illuminance measurement value of the environment, and the unit is lx; m represents a road traffic flow measurement value, the traffic flow is HIGH, m=high (e.g. traffic flow is equal to or more than 60 vehicles/min and adjustable), the traffic flow is moderate, m=mid (e.g. 10 < traffic flow is less than 60 vehicles/min and adjustable), the traffic flow is LOW, and m=low (e.g. traffic flow is equal to or less than 10 vehicles/min and adjustable); s represents the switching lamp decision, and T (k, s, n, p) represents the output of the single lamp controller in%.

In the embodiment of the invention, the principle of the expert system for reasonable values of road illumination is shown in fig. 2, wherein X represents that the input of the man-machine interface of the expert system comprises a road type number, an illumination time period and management input of a knowledge base; y represents expert system output, herein referred to as road illumination expert recommendation M (k); the man-machine interface of the lighting system refers to a computer of the lighting control system; knowledge management is to increase, delete, change and other knowledge maintenance of knowledge base; the knowledge base is a collection of decision knowledge and experience knowledge of road illumination decision specialists; the inference engine is a set of programs that processes the knowledge base for road type, lighting time period, and feeds the inference results back to the lighting system human-machine interface.

In the embodiment of the present invention, the road illumination illuminance value (%) knowledge base may be created by:

(1) Knowledge collection

Expert knowledge of the road illumination intensity values is collected from the acknowledged illumination characteristic data. A table of common road illuminance values is now listed according to the actual condition of the road illumination, as shown in table 1.

TABLE 1 road illumination illuminance Table (%)

(2) Knowledge representation

Expert knowledge of illuminance measurement is expressed using a rule method, the standard program architecture of which is "IF-THEN" (IF-THEN), i.e. a situation is evaluated, and IF the situation is true, action is taken. And generating a fact base and a rule base after expressing expert knowledge according to rule method knowledge in table 1.

1) Generating a fact repository

The facts are divided and created according to the principles of different road types and different illumination time periods, the facts are thinned when the control requirement is improved, and the facts are coarsened when the control requirement is reduced. The facts are now divided according to the information in table 1, and a fact library is established as shown in table 2, containing facts of "fact 1",...

TABLE 2 fact library

Sequence number	Facts	Sequence number	Facts
				Facts 1	Main road	Facts A	Lighting lamp-20 point
Facts 2	Secondary trunk road	Facts B	20 to 23 points
				Facts
3	Branch circuit	Facts C	23 to 1 points
						Facts D	1-point lamp-out lamp

2) Generating rule base

The facts in the created fact repository are combined to create a rule base, as shown in table 3, containing facts of "rule 1A",... Wherein, rule 2A expresses that if the road is a secondary trunk road AND is at a light-20 point; expert knowledge of the road illumination value M (k) =95% ".

TABLE 3 rule base

Sequence number	Rules of
		Rule 1A	IF fact 1AND fact a; THEN M (1) =100%
Rule 1B	IF fact 1AND fact B; THEN M (1) =80%
		Rule 1C	IF fact 1AND fact C; THEN M (1) =60%
Rule 1D	IF fact 1AND fact D; THEN M (1) =40%
		Rule 2A	IF fact 2AND fact A; THEN M (2) =95%
Rule 2B	IF fact 2AND fact B; THEN M (2) =75%
		Rule 2C	IF fact 2AND fact C; THEN M (2) =50%
Rule 2D	IF fact 2AND fact D; THEN M (2) =30%
		Rule 3A	IF fact 3AND fact a; THEN M (3) =90%
Rule 3B	IF fact 3AND fact B; THEN M (3) =70%
		Rule 3C	IF fact 3AND fact C; THEN M (3) =40%
Rules of3D	IF fact 3AND fact D; THEN M (3) =20%

(3) Knowledge reasoning of road illumination value

The road illumination value expert system carries out knowledge reasoning through a reasoning machine to obtain illumination values required by various roads at different stages.

(3.1) inference method

The expert system inference engine for road illumination value adopts a forward direction inference method, which aims at the known conditions such as the road type, illumination time period and the like input by a user and processes facts and rules in a system knowledge base. The reasoning principle is as follows:

if fact M is true and a rule "TF M THEN" exists, THEN N is true.

Thus, IF the known condition entered by the user satisfies facts 1AND facts A in the fact repository, AND the rule repository has rules "IF facts 1AND facts A; THEN M (1) =100% "exists; the road illumination illuminance value M (k) =100% can be obtained.

The working process of the inference engine is as follows:

1) The known conditions entered by the user are matched with facts in the fact repository piece by piece and facts are generated.

2) Matching the rule preconditions in the rule base with the generated road types and the facts of the lighting time period; extracting the < preconditions > of each rule, verifying whether the preconditions are in an expert knowledge base, and if the preconditions are in the expert knowledge base, successfully matching; otherwise, taking down a rule to match.

3) And outputting the < conclusion > of the rule successfully matched to obtain a road illumination value M (k), and carrying out the next operation.

4) According to the above steps, the parameters M (k) of all road lighting in all areas are deduced.

The road humidity measurement value s (i), the ambient actual illuminance measurement value t, and the road traffic flow determination m obtained by actual measurement are taken into the equations (1), and (3) to determine the output of the single-lamp controller.

(3.2) implementation

And (5) compiling a group of inference engine programs according to the inference method. When the road illumination is controlled, the illumination control method of the present invention is implemented as follows, as shown in the control program flowchart 3.

The first step: the user enters the road type k, illuminance set values (i.e. the numerical values in table 1, adjustable) for different time periods, and then creates a fact library and a rule library according to expert knowledge.

And a second step of: and measuring the ambient illuminance value t to determine whether to turn on the lamp.

And a third step of: and if the lighting condition is met, determining the lighting time period. If not, executing the tenth step.

Fourth step: the illumination time period repeatedly matches rules in the knowledge base by using the forward reasoning of the reasoning machine through the road type k and illumination set values of different time periods.

Fifth step: the inference engine outputs a road illumination expert recommendation M (k).

Sixth step: and detecting the traffic flow and determining p.

Seventh step: and (3) detecting the road humidity, and determining s (i).

Eighth step: and (3) combining the road humidity measured value s (i), the environment actual illuminance measured value T and the traffic flow judgment m to obtain the output T (k, s, n, p) of each set of single-lamp controller.

Ninth step: and controlling the output of each set of single-lamp controller according to T (k, s, n and p), so as to realize the control of illumination power and intelligent illumination.

Tenth step: and (3) ending, and returning to the second step.

It should be noted that each step/component described in the present application may be split into more steps/components, or two or more steps/components or part of the operations of the steps/components may be combined into new steps/components, as needed for implementation, to achieve the object of the present invention.

It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. An intelligent lighting control method based on road detection is characterized by comprising the following steps:

2. The method according to claim 1, characterized by that, by

T (k, s, n, p) represents the output of the single lamp controller.

3. The method according to claim 1 or 2, characterized in that the expert knowledge base is determined as follows:

4. A method according to claim 3, wherein said inferentially obtaining an illumination expert recommendation for illumination comprises:

5. The method of claim 4, wherein said inferring illumination expert recommendations based on facts and rules in the process expert knowledge base for the current road type and illumination time period comprises:

6. The method of claim 1, wherein the road traffic of the current road is obtained by a traffic flow detector installed at the road start and end points.

7. The method of claim 1, wherein the road wetness is obtained by a road hygrometer in the vicinity of a road light in the current road.

8. The method of claim 1, wherein the actual illuminance of the environment is obtained by an illuminance meter of the control center.