Factory intelligent lighting system and method, electronic equipment and storage medium

Abstract

The invention provides a factory intelligent lighting system and method, electronic equipment and a storage medium, and the method comprises a sensor module which is used for obtaining environment information corresponding to each region in a factory, the environment information comprises personnel activity information, production equipment operation state information of production equipment in the factory and illumination intensity information of each area of the factory; the controller module is used for determining an illumination control strategy of each area according to the environment information and obtaining a first dimming signal corresponding to each illumination control strategy; and the dimming module is used for acquiring the first dimming signal and adjusting the brightness value of each lamp in the factory according to the first dimming signal. According to the method and the device, the purpose of adaptively adjusting the illumination of the factory according to the environment can be achieved, and the problem that a factory illumination system in the prior art cannot meet diversified requirements is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control, and in particular to a factory intelligent lighting system and method, an electronic device, and a storage medium. BACKGROUND

[0002] In various factories, lighting systems are indispensable infrastructure, but there are many problems in traditional factory lighting. On the one hand, lighting lamps are often turned on all day or for a long time without distinction, regardless of whether there is a person working in the work area or whether the natural lighting is sufficient, resulting in a large amount of waste of electric energy. On the other hand, fixed brightness lighting cannot meet the diversified needs of different production processes and different time periods for lighting environment, affecting production efficiency and employee comfort, and frequent switching and unreasonable dimming of lamps will also shorten the service life and increase the maintenance cost.

[0003] Therefore, the factory lighting system in the related art has the problem of being unable to meet diversified needs. SUMMARY

[0004] The present application provides a plurality of embodiments of a factory intelligent lighting system and method, an electronic device, and a storage medium, wherein one embodiment can at least solve the problem that the factory lighting system in the related art cannot meet diversified needs.

[0005] According to an aspect of an embodiment of the present application, a factory intelligent lighting system is provided, comprising: a sensor module configured to obtain environment information corresponding to each area in a factory, wherein the environment information comprises personnel activity information, production equipment running state information, and illumination intensity information; a controller module configured to determine a lighting control strategy for each area according to the environment information, and obtain a first dimming signal corresponding to each lighting control strategy; a dimming module configured to obtain the first dimming signal and adjust the brightness value of each lamp in the factory according to the first dimming signal.

[0006] Optionally, in the foregoing factory intelligent lighting system, the sensor module comprises: a personnel sensor configured to obtain the personnel activity information by identifying the position of personnel and the number of personnel in the area corresponding to the personnel sensor; an equipment sensor configured to identify the production equipment running state information of the production equipment corresponding to the equipment sensor; a light sensor configured to identify the illumination intensity information of the area corresponding to the light sensor.

[0007] Optionally, in the foregoing factory intelligent lighting system, the controller module is configured to: determining a target area in which there is a person and the production equipment is currently running in all areas in the factory according to all the personnel activity information and the production equipment running state information; determining a lighting control strategy of the target area according to a device type of the production equipment in the target area; determining a first dimming signal corresponding to the lighting control strategy of the target area.

[0008] Optionally, the factory intelligent lighting system as described in the preceding embodiment further comprises: a time management module configured to obtain schedule information of a target day of the factory, determine a target day lighting control strategy of the factory corresponding to the target day according to the schedule information, and generate a second dimming signal corresponding to the target day lighting control strategy; the dimming module is further configured to obtain the second dimming signal and adjust the luminance value of each lamp in the factory on the target day according to the second dimming signal.

[0009] According to another aspect of the embodiments of the present application, a factory intelligent lighting method is further provided, comprising: obtaining environment information corresponding to each area in the factory, wherein the environment information comprises personnel activity information, production equipment running state information and light intensity information; determining a lighting control strategy of each area according to the environment information, and obtaining a first dimming signal corresponding to each lighting control strategy; adjusting the luminance value of each lamp in the factory according to the first dimming signal.

[0010] Optionally, the factory intelligent lighting method as described in the preceding embodiment, the determining a lighting control strategy of each area according to the environment information comprises: determining a target area in which there is a person and the production equipment is currently running in each area in the factory according to all the personnel activity information and the production equipment running state information; determining a lighting control strategy of the target area according to a device type of the production equipment in the target area; determining a first dimming signal corresponding to the lighting control strategy of the target area.

[0011] Optionally, the factory intelligent lighting method as described in the preceding embodiment, the determining a lighting control strategy of each area according to the environment information comprises: The personnel activity information, the production equipment running state information and the illumination intensity information of each region are normalized respectively to obtain personnel activity normalized information, production equipment running state normalized information and illumination intensity normalized information of each region; A current time weight corresponding to the current moment is determined based on the time weight corresponding to each time period. A lighting control strategy of each region is obtained according to the personnel activity normalized information, the production equipment running state normalized information and the illumination intensity normalized information of each region and the current time weight.

[0012] Optionally, according to the foregoing factory intelligent lighting method, the lighting control strategy of each region is obtained according to the personnel activity normalized information, the production equipment running state normalized information and the illumination intensity normalized information of each region and the current time weight, comprising: The personnel activity normalized information, the production equipment running state normalized information and the illumination intensity normalized information in the region are fuzzed respectively to obtain personnel activity fuzzy information, production equipment running state information fuzzy information and illumination intensity fuzzy information; The output membership degree of each rule in the fuzzy rule base is determined based on the personnel activity fuzzy information, the production equipment running state information fuzzy information and the illumination intensity fuzzy information and the current time weight; The basic brightness is determined according to the output membership degree of each rule; The lighting control strategy of the region is obtained according to the basic brightness.

[0013] Optionally, according to the foregoing factory intelligent lighting method, the lighting control strategy of each region is obtained according to the personnel activity normalized information, the production equipment running state normalized information and the illumination intensity normalized information of each region and the current time weight, comprising: A personnel correction factor is determined according to the personnel activity information, and a device correction factor is determined according to the production equipment running state information; The basic brightness is corrected based on the personnel correction factor and the device correction factor to obtain a final brightness; The lighting control strategy of the region is obtained according to the final brightness.

[0014] Optionally, according to the foregoing factory intelligent lighting method, the method further comprises at least one of the following: When the energy consumption indicated by the historical energy consumption data of the historical time period exceeds the predicted energy consumption of the historical time period by a target amplitude, the illumination intensity range corresponding to each illumination intensity fuzzy information is limited; The membership function is parameter-optimized according to the best brightness measured manually, so that the basic brightness determined by the membership function approaches the best brightness, wherein the membership function is a function used to calculate the output membership; In the case that the personnel activity information and the production equipment running state information in the specified area conflict, a lighting control strategy of the specified area is determined according to the production equipment running state information and the illumination intensity information; The personnel weight is higher than the equipment weight, and the equipment weight is higher than the illumination weight, wherein the personnel weight is the weight of the personnel activity information in the lighting control strategy, the equipment weight is the weight of the production equipment running state information in the lighting control strategy, and the illumination weight is the weight of the illumination intensity information in the lighting control strategy.

[0015] Optionally, the factory intelligent lighting method as described above further comprises: Obtaining scheduling information of a target day of the factory, determining a target day lighting control strategy of the factory corresponding to the target day according to the scheduling information, and generating a second dimming signal corresponding to the target day lighting control strategy; According to the second dimming signal, adjusting the brightness value of each lamp in the factory on the target day.

[0016] Optionally, the factory intelligent lighting method as described above further comprises: Periodically obtaining energy consumption data corresponding to each area; Generating an energy consumption change trend corresponding to each area according to the energy consumption data; Adjusting the lighting control strategy of each area based on the energy consumption change trend.

[0017] According to another aspect of the embodiments of the present application, an electronic device is also provided, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus; the memory is configured to store a computer program; and the processor is configured to execute the method steps in any of the above embodiments by running the computer program stored in the memory.

[0018] According to another aspect of the embodiments of the present application, a computer readable storage medium is also provided, which stores a computer program, wherein the computer program is configured to execute the method steps in any of the above embodiments when running.

[0019] In the embodiment of the present application, the intelligent lighting control mode according to the environment information is adopted, and the factory intelligent lighting system comprises: a sensor module configured to acquire environment information corresponding to each region in the factory, wherein the environment information comprises personnel activity information, production equipment running state information of production equipment in the factory, and illumination intensity information of each region of the factory; a controller module configured to determine a lighting control strategy of each region according to the environment information, and obtain a first dimming signal corresponding to each lighting control strategy; and a dimming module configured to acquire the first dimming signal, and adjust the brightness value of each lamp in the factory according to the first dimming signal. Thus, the corresponding lighting control strategy can be determined based on the environment information in real time, and the brightness value of each lamp in the factory is adjusted according to the first dimming signal corresponding to the lighting control strategy, so as to adaptively adjust the lighting of the factory according to the environment, achieve the technical effect that the lighting demand of the factory can be met in different situations, and further solve the problem that the factory lighting system in the related art cannot meet diversified demands. BRIEF DESCRIPTION OF DRAWINGS

[0020] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and serve to explain the principles of the present application together with the specification.

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0022] Figure 1 is a structural block diagram of an optional factory intelligent lighting system according to an embodiment of the present application; Figure 2 is a structural block diagram of an optional factory intelligent lighting system according to another embodiment of the present application; Figure 3 is a flowchart of an optional factory intelligent lighting system method according to an embodiment of the present application; Figure 4 is a structural block diagram of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0025] In various types of factories, lighting systems are indispensable infrastructure, but traditional factory lighting has many problems. On the one hand, lighting fixtures are often turned on all day or for a long time without discrimination, regardless of whether there is a person working in the work area or whether the natural lighting is sufficient, resulting in a large amount of waste of electric energy; on the other hand, fixed brightness lighting cannot meet the diversified needs of different production processes and different time periods for lighting environment, affecting production efficiency and employee comfort, and frequent switching of lamps and unreasonable dimming also shorten the service life and increase the maintenance cost.

[0026] In order to overcome the problem that the factory lighting system in the related art cannot meet the diversified needs, as shown in Figure 1 The factory intelligent lighting system provided by the embodiments of the present application comprises: The sensor module 1 is configured to acquire environment information corresponding to each area in the factory, wherein the environment information comprises personnel activity information, production equipment running state information and illumination intensity information.

[0027] The factory intelligent lighting system in the embodiments of the present application can be applied to factories that need manual operation / manufacturing, and can also be applied to factories where devices in an automated production workshop need to be manufactured through visual identification. For other scenarios, the factory intelligent lighting system is also applicable without contradiction, which is not listed one by one here.

[0028] In the embodiment, the sensor module 1 can include multiple sensors, and different types of sensors can be used to obtain personnel activity information, production equipment running state information, and light intensity information, respectively. For each sensor, the area in which it collects information can be set according to its maximum information collection range. Generally, the area in which each production equipment is located is pre-set, and thus, the personnel activity information, the production equipment running state information, and the light intensity information in any area can be obtained.

[0029] As an optional implementation, the factory intelligent lighting system as described above, the sensor module 1 includes: a personnel sensor, configured to obtain personnel activity information by identifying the position and the number of personnel in the area corresponding to the personnel sensor; Optionally, the personnel sensor can be a sensor combination that combines a high-precision infrared thermal imaging sensor and a microwave radar sensor to sense personnel. The infrared thermal imaging sensor can accurately capture the thermal radiation profile of the human body to identify the position and the number of personnel, so that the personnel in the area in which the personnel sensor collects personnel can be effectively detected even when the personnel is stationary or in a low activity state. The microwave radar sensor can detect the small movements and moving speed of the personnel. The infrared thermal imaging sensor and the microwave radar sensor work together to effectively ensure the accuracy and timeliness of personnel detection. The detection range of the personnel sensor can be adjusted according to the layout of the factory workshop and actual needs. Preferably, the coverage radius of the infrared thermal imaging sensor and the microwave radar sensor is between 10-20 meters, and thus, each personnel sensor can cover an area with a coverage radius of 10-20 meters.

[0030] a device sensor, configured to identify production equipment running state information of the production equipment corresponding to the device sensor.

[0031] In the embodiment, the device sensor can include specific sensors installed for different types of production equipment, such as machine tools, conveyors, automated mechanical arms, etc. For example, for a machine tool, a current sensor can be used as the corresponding device sensor to monitor its running current, and when the current value exceeds the standby threshold, it is determined that the device is in a running state. A photoelectric sensor can be installed as the corresponding device sensor for a conveyor to determine whether it is working by detecting the blocking condition of the materials on the conveyor. All device sensors are connected to the controller module 2 through wired or wireless (such as Bluetooth Low Energy, ZigBee, etc.) modes, and the running state information of the devices is transmitted to the controller module 2 in real time.

[0032] a light sensor, configured to identify light intensity information of the area corresponding to the light sensor.

[0033] In the embodiment, the light sensors can be sensors for identifying the light intensity information distributed in various areas of the factory workshop, including the natural lighting area close to the window and the deep inside of the workshop. Preferably, the light sensors can adopt a photosensitive element with high sensitivity and wide spectral response range, and further, the light sensors adopt a photosensitive element capable of accurately measuring the illuminance value of the ambient light, and the measurement accuracy can reach ±5% lux (lx). After the light intensity information collected by the light sensors, the above light intensity information can be transmitted to the controller module 2, so that the controller module 2 can adjust the artificial lighting brightness according to the natural lighting condition. The light intensity information can be the intensity under the irradiation of natural light without turning on any lamps, or the intensity under the irradiation of light (including natural light and light emitted by lamps) with the lamps currently turned on.

[0034] Through the different types of sensors in the embodiment, different information in each area can be detected, thereby providing a basis for the controller module 2 to determine the lighting control strategy in the later stage.

[0035] The controller module 2 is configured to determine the lighting control strategy of each area according to the environmental information, and obtain a first dimming signal corresponding to each lighting control strategy.

[0036] Specifically, after obtaining the above environmental information (i.e., personnel activity information, production equipment running state information, and light intensity information of each area), the controller module 2 can determine the lighting control strategy of each area based on the personnel activity information, production equipment running state information, and light intensity information of each area. For example, when the personnel activity information in area A indicates that there are active personnel, the production equipment running state information indicates that the equipment is currently running, and the light intensity information indicates that the current light intensity information is lower than the light intensity information required for work, it can be determined that there is work in the current area A, and the light intensity information is low, and the lighting control strategy of area A obtained is to improve the light intensity information of lamp lighting; when the personnel activity information in area B indicates that there are no active personnel, the production equipment running state information indicates that the equipment is not currently running, and the light intensity information indicates that the current light intensity information is lower / higher / equal to the light intensity information required for work, it can be determined that there is no work in the current area B, and regardless of the light intensity information, the lighting control strategy of area B obtained is to turn off the lighting of the lamps, and the like.

[0037] After obtaining the lighting control strategy of each area, a first dimming signal for adjusting the artificial lighting brightness of the luminaire in each area can be obtained based on the lighting control strategy of each area. That is, if the lighting control strategy is to increase the illumination intensity information of the luminaire lighting, the first dimming signal can be a signal for controlling the luminaire and increasing the illumination intensity information of its lighting; if the lighting control strategy is to reduce the illumination intensity information of the luminaire lighting, the first dimming signal can be a signal for controlling the luminaire and reducing the illumination intensity information of its lighting, or even turning off the luminaire.

[0038] Optionally, the controller module 2 can adopt an industrial-grade high-performance embedded microcontroller, such as a chip based on the ARM Cortex-M series kernel, so that the controller module 2 has strong data processing capability and rich interface resources, can process data from multiple sensors at the same time, and make decisions quickly. In some optional embodiments, the memory capacity of the controller module 2 can be adaptively configured according to system requirements, generally 128MB-512MB, to store sensor data history records, lighting control strategy algorithms, and protocol stacks for communication with other systems, etc. in the controller module 2.

[0039] In order to enable the controller module 2 to implement the above method, the controller module 2 can be built-in with a special lighting control algorithm software, which can be based on fuzzy logic control principle, so as to be able to comprehensively consider multiple factors such as personnel activity information (e.g. personnel position), production equipment running state information, illumination intensity information (e.g. natural light intensity), and time, to determine the optimal brightness value of each area through fuzzy reasoning. For example, when there is personnel activity in a certain area and the equipment is running, but the natural light intensity is high, the algorithm will appropriately reduce the brightness of the artificial lighting in that area to achieve a balance between energy saving and lighting effect.

[0040] In order to realize communication with other modules, the controller module 2 is provided with a communication module, which has multiple communication interfaces, including an Ethernet interface for connecting with the local area network inside the factory, realizing remote monitoring and management; an RS485 interface can communicate with some traditional industrial equipment (such as some old lighting luminaire controllers); a wireless communication module (such as Wi-Fi, 4G / 5G module) facilitates flexible deployment and remote data transmission of the system in different network environments, so that the factory managers can view the running state of the lighting system in real time through the mobile phone application or computer software and manually intervene.

[0041] The dimming module 3 is used to obtain the first dimming signal and adjust the brightness value of each luminaire in the factory according to the first dimming signal.

[0042] Specifically, the lighting lamp can be selected from high-efficiency energy-saving LED lamps, and preferably the light efficiency of the lamp can reach 150-200 lumens per watt (lm / W). Further, the heat dissipation design of the lamp can adopt a combination of aluminum heat dissipation fins and forced heat dissipation by a fan to ensure the temperature stability of the LED chip during long-time operation and prolong the service life of the lamp. At the same time, a lamp with a color rendering index (CRI) greater than 80 can be selected to ensure that the lamp can provide good visual effects under different brightnesses to meet the color recognition needs in the factory production process.

[0043] Optionally, in order to realize accurate control of each lamp, each lamp in the embodiment can be equipped with an independent dimming module 3. Further, the dimming module 3 can be a circuit adopting pulse width modulation (PWM) technology, so that the dimming module 3 can accurately control the brightness of the lamp by changing the duty cycle of the PWM signal. Preferably, the dimming resolution of the dimming module 3 can be selected to reach 1024 levels, and the module can realize smooth dimming from 0% to 100%.

[0044] After receiving the first dimming signal from the controller module 2, the dimming module 3 can convert the first dimming signal into a corresponding current or voltage signal to drive the LED lamp to work (for example, increase the illumination intensity information, reduce the illumination intensity information, turn off the light, and turn on the light, etc.).

[0045] In the embodiment of the present application, the intelligent lighting control mode according to the environment information is adopted, and the factory intelligent lighting system is used, including: a sensor module 1 for acquiring environment information corresponding to each region in the factory, wherein the environment information includes: personnel activity information, production equipment running state information of production equipment in the factory, and illumination intensity information of each region of the factory; a controller module 2 for determining a lighting control strategy for each region according to the environment information, and obtaining a first dimming signal corresponding to each lighting control strategy; a dimming module 3 for acquiring the first dimming signal and adjusting the brightness value of each lamp in the factory according to the first dimming signal. Thus, the corresponding lighting control strategy can be determined based on the environment information in real time, and the brightness value of each lamp in the factory is adjusted according to the first dimming signal corresponding to the lighting control strategy, so as to achieve the purpose of adaptively adjusting the lighting of the factory according to the environment, achieve the technical effect of meeting the lighting needs of the factory under different conditions, and further solve the problem of the factory lighting system in the related art that cannot meet the diversified needs.

[0046] As an optional implementation, the factory intelligent lighting system as described above, the controller module 2 is configured to: determine a target area in which there is personnel activity and the production equipment is currently running in all areas in the factory according to all personnel activity information and production equipment running state information; determine a lighting control strategy of the target area according to the equipment type of the production equipment in the target area; and determine a first dimming signal corresponding to the lighting control strategy of the target area.

[0047] That is, after obtaining the personnel activity information and the production equipment running state information, the controller module 2 can filter out, based on the personnel activity information and the production equipment running state information, a target area in which there is personnel activity and the production equipment is currently running in all areas. For determining the target area, it can be determined according to the personnel position information which areas have personnel activity and the production equipment is currently running, and the area is determined as the target area; if there is no personnel activity or the production equipment is not currently running in the area, it indicates that there is no lighting demand caused by work in this case, and the area is not determined as the target area.

[0048] Since there is personnel activity in the target area and the production equipment is currently running, the target area is probably working, and therefore there is a lighting demand caused by work in the target area; and the non-target area is probably not working, and therefore the lighting brightness can be appropriately reduced or the lamps are turned off.

[0049] For example, if there is no personnel activity in an area in the past period of time (for example, 5 minutes) and the equipment is in a stopped state, the algorithm in the controller module 2 can set the lighting brightness of the area to a standby brightness (generally 10%-20% of the normal brightness) or directly turn off the lamps, and record the state change time of the area. Then, the algorithm considers the influence of the production equipment running state information on lighting: for the area in which the key equipment is running, such as the area of a high-precision machining tool, even if the current light intensity information is relatively high (for example, the natural light intensity is high in the case of no light), a relatively high lighting brightness (generally 80%-100% of the normal brightness) is maintained to ensure that the operator can clearly observe the running state of the production equipment and the details of the workpiece processed by the production equipment, so that the lighting control strategy of the target area is to maintain 80%-100% of the normal brightness. For some auxiliary equipment or non-key production areas, when the production equipment is currently running and the current lighting brightness meets certain conditions (for example, the natural light intensity meets certain conditions in the case of turning on the light), the lighting brightness of the lamps in the non-key production area is appropriately reduced, so that the lighting control strategy of the non-key production area is to reduce the lighting brightness of the lamps in the non-key production area.

[0050] After the controller module 2 determines the lighting control strategy, it can obtain the corresponding first dimming signal according to the method described in the previous embodiment. For example, the controller module 2 can further adjust the lighting brightness by combining the natural illuminance data collected by the light sensor. When the natural illuminance is strong (e.g., the illuminance in the area near the window exceeds 500 lx during the day), the artificial lighting brightness in the corresponding area will be reduced proportionally; when the natural illuminance is weak (e.g., the illuminance is below 100 lx at night or on cloudy days), the artificial lighting brightness will be increased to supplement the lighting demand. The controller module 2 can calculate the optimal brightness value for each area, obtain the lighting control strategy, generate the corresponding dimming signal, and send it to the dimming module 3 of the lighting fixture. After receiving the first dimming signal, the dimming module 3 quickly adjusts the brightness of the fixture to the target value indicated by the first dimming signal within 10-50 milliseconds.

[0051] The controller module 2 in this embodiment can accurately determine the target area that needs lighting control by implementing the above method, and ensure that the operation in the target area can be carried out under suitable lighting conditions, which can save electricity and ensure the lighting required for the operation.

[0052] like Figure 2 As shown, as an optional implementation, the aforementioned intelligent factory lighting system further includes: The time management module 4 is used to acquire the factory's target day schedule information, determine the target day lighting control strategy based on this information, and generate a second dimming signal corresponding to the target day lighting control strategy. In other words, the time management module 4 continuously monitors time information throughout the process, and this event management information can acquire the factory's target day schedule information. The target day can be any day, and the schedule information can include, but is not limited to, production plans and maintenance plans. Therefore, the time management module 4 can adjust the lighting control strategy in a timely manner based on the schedule information and real-time time, and determine the target day lighting control strategy for the factory. For example, it can adjust the lighting brightness of relevant areas in advance (e.g., 10-15 minutes before the production shift change) to prepare for the upcoming production activities; it can automatically switch to maintenance lighting mode when the equipment maintenance period determined based on the maintenance plan begins. After determining the target day lighting control strategy for the factory, a corresponding second dimming strategy can be generated based on this strategy.

[0053] The dimming module 3 is also used to acquire a second dimming signal and adjust the brightness value of each lamp in the factory on the target day according to the second dimming signal.

[0054] That is, the dimming module 3 can convert the second dimming signal into a corresponding current or voltage signal after receiving the second dimming signal from the time management module 4, so as to drive the LED lamp to work (for example, light intensity information, light intensity information, light off, and light on, etc.) according to the requirements of the target day lighting control strategy through the current or voltage signal on the target day.

[0055] Through the factory only lighting system of the embodiment, the factory lighting can be prepared in advance through the obtained scheduling information of the target day, so as to guarantee the needs of the factory lighting in advance, reduce the real-time processing amount, and further have a longer time to determine a dimming strategy more suitable for the factory lighting needs, and improve the reliability of the dimming strategy.

[0056] As an optional embodiment, the factory intelligent lighting system as described above, the controller module 2 is further configured to periodically acquire energy consumption data corresponding to each area; generate an energy consumption change trend corresponding to each area according to the energy consumption data; and adjust the lighting control strategy of each area based on the energy consumption change trend. That is, the controller module 2 can acquire the energy consumption data of each area every certain time (for example, 1 hour) and store it in the local database. The controller module 2 can generate energy consumption change trends (for example, energy consumption reports and / or energy consumption trend analysis charts) of different time periods (for example, day, week, month, and year) according to the energy consumption data of each area through the management software installed therein, so as to help the factory manager to understand the energy consumption of the lighting system, evaluate the energy saving effect, and further formulate energy saving measures and optimize the lighting control strategy through the energy consumption change trend. For example, if it is found that the energy consumption of a certain area is too high in a certain time period, the personnel, equipment, and lighting control of the area can be further analyzed to find out the possible reasons and make targeted adjustments.

[0057] Further, a lighting system management platform can be provided, so that the factory manager can remotely monitor and manage the entire intelligent lighting energy saving system through the lighting system management platform on the computer. The interface of the lighting system management platform can directly display the layout of the factory workshop (for example, the relationship between the areas and the positions of the equipment in the areas, etc.), the real-time lighting state of each area (including whether the lamps are turned on, the current brightness value, the personnel and equipment activity, etc.), the sensor data historical curve, the energy consumption statistical report, and other information. Further, the manager can manually turn on or off the lighting lamps of a certain area on the lighting system management platform through the mouse clicking operation, or adjust the lighting brightness setting value of a certain area to cope with special production needs or temporary situations. Thus, the related scene of manual control can be expanded.

[0058] The controller module 2 can periodically perform self-checking on the sensors, the dimming module 3, the lamps, and the hardware and software systems thereof. When detecting that certain sensor data is abnormal (such as the light sensor measurement value is out of the normal range or remains unchanged), the dimming module 3 communication fails, the lamps are damaged (such as the LED lamp bead is short-circuited or open-circuited to cause abnormal current), or an error occurs in the internal software of the controller, an alarm signal is immediately sent on the workshop site through the audible and visual alarm, and the fault information can also be notified to the factory managers and maintenance personnel through short messages, emails, system pop-up windows, or the like. The maintenance personnel can quickly locate the fault point and perform maintenance according to the fault information, and after the maintenance is completed, the system automatically returns to the normal operation state and records the maintenance information. Thus, the entire system can have the automatic fault detection and alarm function, and the safety and stability of the system are improved.

[0059] As shown in Figure 3 Another aspect of the embodiments of the present application also provides a factory intelligent lighting method, which comprises the following steps: In step S302, environment information corresponding to each region in the factory is acquired, wherein the environment information comprises personnel activity information, production equipment running state information, and illumination intensity information. In step S304, lighting control strategies of each region are determined according to the environment information, and first dimming signals corresponding to each lighting control strategy are obtained. In step S306, the brightness values of the lamps in the factory are adjusted according to the first dimming signals.

[0060] The related implementation methods of steps S302 to S306 in this embodiment can refer to the related implementation manners of adjusting the brightness values of the lamps in the factory intelligent lighting system in the foregoing embodiments, which will not be described herein again.

[0061] As an optional implementation manner, the factory intelligent lighting method according to the foregoing embodiments, wherein the lighting control strategies of each region are determined according to the environment information, and the first dimming signals corresponding to each lighting control strategy are obtained, comprises: Target regions in which personnel exist and the production equipment is currently running are determined in each region in the factory according to all the personnel activity information and the production equipment running state information. The lighting control strategy of the target region is determined according to the device type of the production equipment in the target region. The first dimming signal corresponding to the lighting control strategy of the target region is determined.

[0062] The related implementation methods of steps in this embodiment can refer to the related implementation manners of adjusting the brightness values of the lamps in the factory intelligent lighting system in the foregoing embodiments, which will not be described herein again.

[0063] As an optional implementation, the factory intelligent lighting method as described above, determining the lighting control strategy of each area according to the environment information comprises: The personnel activity information, production equipment running state information and illumination intensity information of each area are normalized respectively to obtain the personnel activity normalized information, production equipment running state normalized information and illumination intensity normalized information of each area.

[0064] Specifically, the personnel activity normalized information (P) can be a probability value (0 represents no one, and 1 represents someone) output by the personnel sensor through infrared thermal imaging and microwave radar fusion detection, which is updated once every 1-2 seconds. For example, if personnel activity is continuously detected in a certain area for 5 minutes, P=1; and P=0 when there is no one. Then the personnel activity normalized information can be obtained.

[0065] The production equipment running state normalized information (E) can be a binary value (0 represents stop, and 1 represents run) output by the equipment sensor, and the machine current sensor collects current every 10-20 milliseconds. If the current exceeds the standby threshold, it is determined that E=1. Then, based on whether the production equipment running state information exceeds the standby threshold, the corresponding value is determined to be 1 or 0 to determine the corresponding production equipment running state normalized information.

[0066] The illumination intensity normalized information (L) is the measured value of natural light output by the light sensor in the range of 0-1000 lx. The illumination intensity information can be converted to a dimensionless value in the range of 0-1 by the normalization formula as shown below: L' =L / 1000 (L’∈[0, 1]).

[0067] And in this way, the illumination intensity normalized information can be obtained based on the illumination intensity information.

[0068] Based on the time weight corresponding to each time period, the current time weight corresponding to the current time is determined.

[0069] Specifically, the time weight (T) can be combined with the production plan (such as shift time) and the real-time clock to divide the time in a day into three periods and assign weights, for example: production peak period (8:00-22:00): T=1; production valley period (22:00-24:00, 6:00-8:00): T=0.6; non-production period (24:00-6:00): T=0.3; thus, based on the above division method, the current time weight corresponding to the current time can be determined.

[0070] According to the personnel activity normalization information, the production equipment operation state normalization information, the light intensity normalization information and the current time weight of each area, a lighting control strategy of each area is obtained.

[0071] Specifically, after the personnel activity normalization information, the production equipment operation state normalization information and the light intensity normalization information and the current time weight are determined, the lighting control strategy of each area can be obtained by comprehensively processing the above information.

[0072] As an optional implementation, the factory intelligent lighting method as described above can be implemented by the following steps to obtain the lighting control strategy of each area according to the personnel activity normalization information, the production equipment operation state normalization information and the light intensity normalization information and the current time weight of each area: The personnel activity normalization information, the production equipment operation state normalization information and the light intensity normalization information in the area are fuzzified respectively to obtain personnel activity fuzzy information, production equipment operation state information fuzzy information and light intensity fuzzy information.

[0073] Specifically, for the personnel activity normalization information, the production equipment operation state normalization information and the light intensity normalization information, the membership functions recorded in the following fuzzyization mode table can be used to fuzzify the personnel activity normalization information, the production equipment operation state normalization information and the light intensity normalization information to obtain the personnel activity fuzzy information, the production equipment operation state information fuzzy information and the light intensity fuzzy information in Table 1 as shown below:

[0074] Table 1 For example, when the input is: P=0.8 (person probability), E=1 (auxiliary operation), L'=0.4 (relatively dark), T=1 (peak period); after fuzzification, the following can be obtained: P: μperson=0.9, μnoperson=0.1; E: μauxiliary operation=1; L': μlow=0.6, μmedium=0 (skip), μhigh=0.4.

[0075] Based on the personnel activity fuzzy information, the production equipment operation state information fuzzy information and the light intensity fuzzy information and the current time weight, the output membership degree of each rule in the fuzzy rule base is determined. Specifically, based on domain knowledge, all possible input combinations corresponding to output actions can be listed. In this embodiment, 54 rules can be preset based on production experience (54 fuzzy control rules based on the combination of personnel presence (2 states) x equipment state (3 levels) x light intensity (3 levels) x time weight (3 periods) (2x3x3x3=54), covering all production scenarios, and 4 commonly used rules are as follows): Rule 1: IF (P=Yes) AND (E=Key Operation) AND (L'=Low) THEN B=Very High (100%); Rule 2: IF (P=Yes) AND (E=Assistant Operation) AND (L'=Medium) THEN B=Medium (60%); Rule 3: IF (P=No) AND (E=Stop) THEN B=Very Low (10%); Rule 4: IF (T=Production Peak) THEN B ≥ Base Brightness (adjust dynamically according to L').

[0076] That is, based on the personnel activity fuzzy information, the production equipment operation state information fuzzy information and the light intensity fuzzy information and the current time weight, the activated rules in the fuzzy rule base are determined, and the output membership degree of each activated rule is determined.

[0077] In this embodiment, fuzzy reasoning (Mamdani method) can be used to calculate the output membership degree of each rule. Specifically, the rule activation strength is calculated: for each rule, the minimum value of the membership degree of the premise condition is taken (for example, rule 1: min(μYes(P), μKey Operation(E), μLow(L')). For example, if P=0.8 (μYes=0.9), E=Key Operation (μ=1), and L'=0.3 (μLow=0.7), the rule 1 activation strength=0.7. The output membership degree function is clipped: the activation strength is used to clip the membership degree function of the conclusion (for example, "very high" is clipped to a trapezoidal function with a peak value of 0.7).

[0078] The base brightness is determined according to the output membership degree of each rule.

[0079] Specifically, after the output membership degree of each rule is determined, the base brightness can be determined, and the area barycenter can be calculated by aggregating all the clipped output functions: B base = (Σ(μ_i × B_i)) / Σμ_i; Where μ_i is the activation strength of the i-th rule, and B_i is the corresponding output value.

[0080] For example: the activated rules suggest B=High (80%) and B=Medium (60%), and the weights of "B=High" and "B=Medium" are 0.6 and 0.4 respectively. The base brightness: B base = (0.6×80 + 0.4×60) / (0.6+0.4) = 72%.

[0081] The lighting control strategy of the area is obtained according to the base brightness.

[0082] Specifically, after the base brightness is determined, the lighting control strategy can be obtained based on the base brightness, i.e. the result of the lighting control strategy needs to meet the base brightness or the brightness obtained by modifying the base brightness.

[0083] As an optional implementation, the factory intelligent lighting method as described above can achieve the lighting control strategy of the area according to the base brightness by the following steps: The personnel modification factor is determined according to the personnel activity information, and the equipment modification factor is determined according to the production equipment running state information; Specifically, the personnel modification factor (a) can be as follows: ; The equipment modification factor (b) can be as follows: ; The base brightness is modified based on the personnel modification factor and the equipment modification factor to obtain the final brightness.

[0084] Specifically, the final brightness can be the product of the personnel modification factor, the equipment modification factor and the base brightness. For example, the personnel modification factor and the equipment modification factor modify the base brightness to obtain the final brightness formula:

[0085] Example: B base Key equipment running (b = 1.2) and someone (a = 1), base brightness 40%, then = 48%.

[0086] According to the final brightness, the lighting control strategy of the area is obtained.

[0087] Specifically, after the final brightness is determined, the lighting control strategy can be obtained based on the final brightness, i.e. the result of the lighting control strategy needs to meet the brightness requirement of the final brightness.

[0088] As an optional implementation, the factory intelligent lighting method as described above further includes at least one of the following: In a case that the energy consumption indicated by the historical energy consumption data of the historical time period exceeds the predicted energy consumption of the historical time period by a target amplitude, the light intensity range corresponding to each light intensity fuzzy information is limited. That is, the historical data can be analyzed according to the length of the fixed time period to determine whether the light intensity range corresponding to the light intensity fuzzy information needs to be adjusted. The historical time period is the length of the fixed time period, for example, one month, one day, etc. For example, the historical energy consumption data can be analyzed monthly, and if the actual energy consumption of a certain area is 15% higher than the predicted energy consumption predicted by the algorithm (i.e., the target amplitude), the rule library is checked to adjust the corresponding light intensity fuzzy information (such as reducing the "medium light" range from [300-700 lx] to [400-600 lx]). In addition, manual intervention for correction is also possible, for example, the manager can manually adjust the brightness compensation coefficient of the abnormal area through the monitoring software (such as forcing the brightness of the precision machining area to be +20%), that is, the brightness corresponding to the light intensity fuzzy information is adjusted according to the brightness compensation coefficient, and the system automatically records and updates the rules.

[0089] The membership function is parameterized according to the best brightness measured manually, so that the basic brightness determined by the membership function approaches the best brightness, wherein the membership function is a function used to calculate the output membership. Specifically, the gradient descent method is used to optimize the membership function parameters, and the objective function used is as follows: .

[0090] wherein B actual,i is the manually measured best brightness, and the standard deviation of the Gaussian function or the vertex coordinates of the triangular function are adjusted iteratively to minimize the prediction error, that is, the basic brightness needs to approach the best brightness.

[0091] In a case that the personnel activity information and the production equipment running state information in the specified area conflict, the lighting control strategy of the specified area is determined according to the production equipment running state information and the light intensity information, that is, for any specified area, in a case that the personnel activity information and the production equipment running state information in the specified area conflict, that is, there is no one in the specified area, but there is a production equipment in operation. In this case, the equipment state priority strategy is enabled: that is, if the production equipment running state information is critical operation and the personnel activity information is 0, the lighting control strategy of the specified area is determined as: delay 5 minutes to turn off the lighting. Thus, the risk of misoperation can be effectively avoided.

[0092] The personnel weight is higher than the equipment weight, and the equipment weight is higher than the illumination weight, wherein the personnel weight is a weight of personnel activity information in the lighting control strategy, the equipment weight is a weight of production equipment running state information in the lighting control strategy, and the illumination weight is a weight of illumination intensity information in the lighting control strategy.

[0093] That is, in the embodiment, the information affecting the lighting control strategy from high to low is: personnel activity information, production equipment running state information, and illumination intensity information.

[0094] Further, the personnel sensor can adopt a fusion scheme of an infrared thermal imaging sensor (capturing human thermal radiation, identifying stationary personnel) and a microwave radar sensor (detecting human micro-motion, identifying moving trajectory), a single sensor covering a radius of 10-20 meters, and supporting multi-sensor networking to cover the entire factory.

[0095] 1. The infrared thermal imaging module generates 1 frame of thermal imaging image every 1 second, extracts human contour coordinates through image recognition algorithm, and outputs personnel position matrix (x, y, z) and number N.

[0096] 2. The microwave radar module transmits millimeter wave signals every 2 seconds, calculates the micro-motion speed v through FFT (Fast Fourier Transform) after receiving the reflected waves, and judges whether the personnel are active (v>0.1 m / s is an active state).

[0097] The signal processing method is to fuse the data of the two sensors to generate the personnel existence probability P (0-1), for example, if the thermal imaging detects a human body and the radar detects micro-motion, P=1; only thermal imaging detects stationary personnel, P=0.8; none of them is detected, P=0.

[0098] After obtaining the above personnel state information, the personnel state information data packet (position, number, activity state) can be sent to the controller once every fixed period (for example, every 2 seconds).

[0099] The device sensor can be distinguished by device type: For key devices (such as machine tools): a current sensor can be connected in series to the device power supply circuit, and the current value I is collected every 10 milliseconds, compared with the standby threshold I0 (I>I0 is determined as running state E=1). Then the device running state information (running / stop) and current waveform data of the key device are sent to the controller at a fixed period (for example, every 50 milliseconds).

[0100] For auxiliary equipment (such as conveyors): an infrared light beam can be emitted by a photoelectric sensor to detect the number of material blockages on the conveyor belt, and the blockage frequency F is counted every minute (F>0 is determined as running state E=1). The device state and material flow data are sent at a fixed period (for example, every 2 seconds).

[0101] Generate a binary value E (0 = stop, 1 = run) for indicating the production equipment running state information, further, the key equipment is attached with priority identification (such as precision machine tool is marked as E = 1_key, and ordinary equipment is E = 1_ auxiliary).

[0102] For the light sensor, a silicon photocell sensor can be used, which covers the 400-700nm visible spectrum, with a measurement accuracy of ±5% lx, and supports the distinction between ambient light and artificial light. The illumination L (unit: lx) can be collected once every fixed period (for example, every 5 seconds), and the natural light L_n (judged by the installation position, such as a window sensor) and artificial light L_a (windowless area inside the workshop) are distinguished. Then, the continuous N times (for example, 10 times) of collected values are denoised (abnormal values exceeding ±20% of the average value are removed), and the median is taken as the effective illumination. The normalized illumination L' = L / 1000 (L' ∈ [0, 1]) is output as the light intensity information, and the area type (such as A area-strong light area, B area-weak light area) is labeled, and sent to the controller at a fixed period (for example, every 10 seconds).

[0103] In this embodiment, the sensor priority strategy can follow the following priority order: the system follows the principle of "personnel safety > production continuity > energy saving optimization", and the priority from high to low is: personnel sensor > equipment sensor (key equipment > auxiliary equipment) > light sensor. The priority details are shown in Table 2:

[0104] Table 2 The above-mentioned personnel sensor, equipment sensor and light sensor are coordinated among multiple sensors, and examples in different scenarios are as follows: Scenario 1: There is a person (P = 1) in the precision machine tool area (E = 1_key) but the natural light is sufficient (L' = 0.8); priority trigger: personnel + key equipment priority, light sensor only for reference. Decision result: the lighting brightness is fixed at 80% (not reduced with natural light).

[0105] Scenario 2: There is no one (P = 0) in the warehouse passage and the equipment is stopped (E = 0), and the light is relatively dark (L' = 0.3); priority trigger: light sensor dominates, energy saving priority when there is no one and no equipment. Decision result: the lighting is adjusted to 10% standby brightness (only to ensure safe patrol).

[0106] Scenario 3: There is a person (P = 1) in the ordinary assembly area, the auxiliary equipment is running (E = 1_ auxiliary), and the light is medium (L' = 0.5). Priority trigger: personnel > auxiliary equipment > light, three of them are coordinated and adjusted. Decision result: basic brightness = 50% (light) × 1 (personnel) × 1 (auxiliary equipment) = 50%, allowing ±10% dynamic adjustment.

[0107] The signal transmission and fusion mechanism between the above-mentioned personnel sensor, equipment sensor and light sensor and the controller is as follows: 1. The transmission level can include: Edge layer: the sensor transmits signals to the controller of the area through ZigBee (short distance) or 485 bus (long distance), and the transmission delay is <50ms.

[0108] Cloud layer: after the controller aggregates the data, it is uploaded to the factory cloud platform through the MQTT protocol for long-term energy consumption analysis (such as weekly / monthly reports).

[0109] 2. The data fusion algorithm can be: using D-S evidence theory to fuse multi-sensor signals; the probability of personnel presence P = 0.6 x infrared thermal imaging result + 0.4 x microwave radar result; the area comprehensive state S = 0.4P + 0.3E + 0.3L', further, when S>0.7, the area can be determined as "high priority work area", triggering the strong light strategy; S<0.3 is "low priority area", triggering the energy saving strategy.

[0110] The priority strategy for handling different abnormalities can be: 1. Sensor fault tolerance: if the personnel sensor fails, automatically switch to equipment sensor + light sensor joint judgment (such as equipment running and insufficient light, default person activity, keep lighting).

[0111] 2. Conflict resolution rule: when there is a signal conflict between the personnel sensor and the equipment sensor, such as personnel leaving but equipment not stopping, at this time, the equipment state is used as the standard, and the lighting is closed after 5 minutes (to avoid false judgment leading to safety risks).

[0112] Through the above hierarchical mechanism, the system maximizes the use of natural light and reduces invalid lighting under the premise of ensuring personnel safety and production needs, and can achieve 30%-50% energy saving effect, while the lighting abnormal response time is controlled within 10 seconds.

[0113] As an optional implementation, the factory intelligent lighting method as described above, the method further comprises: Obtaining the arrangement information of the target day of the factory, determining the target day lighting control strategy of the factory corresponding to the arrangement information according to the arrangement information, and generating a second dimming signal corresponding to the target day lighting control strategy; According to the second dimming signal, adjusting the brightness value of each lamp in the factory on the target day.

[0114] The implementation method of steps S302 to S306 in this embodiment can refer to the implementation method of adjusting the brightness value of each lamp in the factory intelligent lighting system in the foregoing embodiments, and details are not described herein.

[0115] As an optional implementation, the factory intelligent lighting method as described above further includes: periodically acquiring energy consumption data corresponding to the factory; generating an energy consumption change trend corresponding to the factory according to the energy consumption data; adjusting the lighting control strategy of each area based on the energy consumption change trend.

[0116] The implementation method of steps S302 to S306 in this embodiment can refer to the implementation method of adjusting the brightness value of each lamp in the factory intelligent lighting system in the foregoing embodiments, and details are not described herein.

[0117] According to another aspect of the embodiments of the present application, an electronic device is also provided, which includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus; the memory is configured to store a computer program; and the processor is configured to execute the method steps in any of the foregoing embodiments by running the computer program stored in the memory.

[0118] According to another aspect of the embodiments of the present application, a computer readable storage medium is also provided, which stores a computer program, wherein the computer program is configured to execute the method steps in any of the foregoing embodiments when running.

[0119] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, because according to the present application, certain steps can be performed in other sequences or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0120] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software on a general hardware platform, and of course can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product in essence or in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium (such as a ROM (Read-Only Memory), a RAM (Random Access Memory), a magnetic disc, or an optical disc) and includes a plurality of instructions for causing an end device (which can be a mobile phone, a computer, a server, or a network device) to execute the method described in each embodiment of the present application.

[0121] According to another aspect of the embodiments of the present application, an electronic device for implementing the above factory intelligent lighting method is also provided, which can be a server, a terminal, or a combination thereof.

[0122] According to another embodiment of the present application, an electronic device is also provided, which includes: Figure 4 As shown in the figure, the electronic device can include a processor 1501, a communication interface 1502, a memory 1503, and a communication bus 1504, wherein the processor 1501, the communication interface 1502, and the memory 1503 complete communication with each other through the communication bus 1504.

[0123] The memory 1503 is used to store computer programs; The processor 1501 is used to execute the programs stored in the memory 1503 to implement the following steps: Step S302, obtaining environment information corresponding to each region in the factory, wherein the environment information includes personnel activity information, production equipment running state information of production equipment in the factory, and light intensity information of each region in the factory; Step S304, determining the lighting control strategy of each region according to the environment information, and obtaining a first dimming signal corresponding to each lighting control strategy; Step S306, adjusting the brightness value of each lamp in the factory according to the first dimming signal.

[0124] Optionally, in the embodiment, the communication bus can be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For the convenience of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus. The communication interface is used for communication between the electronic device and other devices.

[0125] The memory can include a random access memory (RAM) and can also include a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory can also be at least one storage device located away from the aforementioned processor.

[0126] As an example, the memory 1503 can include, but is not limited to, modules for implementing steps S302, S304, and S306 in a factory intelligent lighting device (i.e., a device implementing the factory intelligent lighting method described above). In addition, other module units implementing other methods in the factory intelligent lighting method described above can also be included, but are not limited to, and will not be described in detail in this example.

[0127] The processor described above can be a general-purpose processor, which can include, but is not limited to, a CPU (Central Processing Unit), an NP (Network Processor), and the like; and can also be a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or other programmable logic device, discrete gate or transistor logic device, discrete hardware component.

[0128] The embodiments of the present application also provide a computer readable storage medium, which includes a stored program, wherein the program runs to perform the method steps of the method embodiments described above.

[0129] Optionally, in the embodiment, the storage medium can include, but is not limited to, a U disk, a ROM, a RAM, a mobile hard disk, a magnetic or optical disk, and various media that can store program codes.

[0130] The above application embodiment serial numbers are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0131] The integrated units in the above embodiments, if realized in the form of software function units and sold or used as independent products, can be stored in the above computer-readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing one or more computer devices (which can be personal computers, servers or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0132] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0133] In the several embodiments provided by the present application, it should be understood that the disclosed client can be implemented in other ways. Of course, the above device embodiment is only illustrative, and for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other forms.

[0134] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., they can be located in one place or distributed on multiple network units. Part or all of the units can be selected to achieve the purpose of the scheme provided in the embodiments according to actual needs.

[0135] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or software function unit.

[0136] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should be considered as the protection scope of the present application.

Claims

1. A factory intelligent lighting system, characterized in that, include: The sensor module is used to acquire environmental information corresponding to each area within the factory, wherein the environmental information includes: personnel activity information, production equipment operating status information, and light intensity information; The controller module is used to determine the lighting control strategy for each area based on the environmental information, and to obtain a first dimming signal corresponding to each lighting control strategy; A dimming module is used to acquire the first dimming signal and adjust the brightness value of each lamp in the factory according to the first dimming signal.

2. The intelligent factory lighting system according to claim 1, characterized in that, The sensor module includes: A personnel sensor is used to obtain personnel activity information by identifying the location and number of personnel in the area corresponding to the personnel sensor; Equipment sensors are used to identify the operating status information of the production equipment corresponding to the equipment sensors; A light sensor is used to identify the light intensity information of the area corresponding to the light sensor.

3. The intelligent factory lighting system according to claim 1, characterized in that, The controller module is used for: Based on all the personnel activity information and the production equipment operating status information, target areas where personnel are present and production equipment is currently operating are identified in all areas of the factory. Based on the equipment type of the production equipment in the target area, a lighting control strategy for the target area is determined; A first dimming signal corresponding to the lighting control strategy for the target area is determined.

4. The intelligent factory lighting system according to claim 1, characterized in that, Also includes: The time management module is used to obtain the arrangement information of the factory's target day, determine the target day lighting control strategy of the factory on the target day based on the arrangement information, and generate a second dimming signal corresponding to the target day lighting control strategy. The dimming module is also used to acquire the second dimming signal and adjust the brightness value of each lamp in the factory on the target day according to the second dimming signal.

5. A smart lighting method for factories, characterized in that, include: Obtain environmental information corresponding to each area within the factory, wherein the environmental information includes: personnel activity information, production equipment operating status information, and light intensity information; Based on the environmental information, a lighting control strategy for each area is determined, and a first dimming signal corresponding to each lighting control strategy is obtained; The brightness values ​​of each lamp in the factory are adjusted according to the first dimming signal.

6. The intelligent factory lighting method according to claim 5, characterized in that, The step of determining a lighting control strategy for each area based on the environmental information and obtaining a first dimming signal corresponding to each lighting control strategy includes: Based on all the personnel activity information and the production equipment operating status information, a target area where personnel are present and the production equipment is currently operating is identified in each area of ​​the factory; Based on the equipment type of the production equipment in the target area, a lighting control strategy for the target area is determined; A first dimming signal corresponding to the lighting control strategy for the target area is determined.

7. The intelligent factory lighting method according to claim 5, characterized in that, The step of determining the lighting control strategy for each area based on the environmental information includes: The personnel activity information, production equipment operation status information, and light intensity information of each region are normalized to obtain the normalized personnel activity information, production equipment operation status information, and light intensity information of each region. Based on the time weight corresponding to each time period, the current time weight corresponding to the current moment is determined; Based on the normalized information of personnel activities, normalized information of production equipment operation status, normalized information of light intensity, and current time weight for each area, a lighting control strategy for each area is obtained.

8. The intelligent factory lighting method according to claim 6, characterized in that, The step of obtaining a lighting control strategy for each area based on normalized information on personnel activity, normalized information on production equipment operation status, normalized information on light intensity, and the current time weight includes: The normalized information of personnel activities, the normalized information of production equipment operation status, and the normalized information of light intensity in the region are respectively fuzzified to obtain fuzzy information of personnel activities, fuzzy information of production equipment operation status, and fuzzy information of light intensity. Based on the fuzzy information of personnel activities, the fuzzy information of production equipment operating status, the fuzzy information of light intensity, and the current time weight, the output membership degree of each rule in the fuzzy rule base is determined. The base brightness is determined based on the output membership degree of each rule. The lighting control strategy for the area is obtained based on the base brightness.

9. The intelligent factory lighting method according to claim 8, characterized in that, The lighting control strategy for the area obtained according to the base brightness includes: The personnel correction factor is determined based on the personnel activity information, and the equipment correction factor is determined based on the production equipment operating status information; The base brightness is corrected based on the personnel correction factor and the equipment correction factor to obtain the final brightness; Based on the final brightness, a lighting control strategy for the area is obtained.

10. The intelligent factory lighting method according to claim 8, characterized in that, The method further includes at least one of the following: If the energy consumption indicated by the historical energy consumption data for a historical time period exceeds the predicted energy consumption for that historical time period and reaches the target range, the range of light intensity corresponding to each light intensity fuzzy information is narrowed. The membership function is optimized according to the optimal brightness measured manually, so that the basic brightness determined by the membership function approaches the optimal brightness. The membership function is a function used to calculate the output membership. In the event of a conflict between the personnel activity information and the production equipment operating status information in a designated area, a lighting control strategy for the designated area is determined based on the production equipment operating status information and the light intensity information. The weight of personnel is higher than that of equipment, and the weight of equipment is higher than that of illumination. The weight of personnel is the weight of personnel activity information in the lighting control strategy, the weight of equipment is the weight of production equipment operating status information in the lighting control strategy, and the weight of illumination is the weight of illumination intensity information in the lighting control strategy.

11. The intelligent factory lighting method according to claim 5, characterized in that, The method further includes: Obtain the arrangement information of the target day of the factory, determine the target day lighting control strategy of the factory on the target day based on the arrangement information, and generate a second dimming signal corresponding to the target day lighting control strategy; Based on the second dimming signal, the brightness values ​​of each lamp in the factory are adjusted on the target day.

12. The intelligent factory lighting method according to claim 5, characterized in that, The method further includes: Periodically acquire energy consumption data corresponding to each region; Generate the energy consumption change trend for each region based on the energy consumption data; The lighting control strategy for each area is adjusted based on the energy consumption change trend.

13. An electronic device comprising a processor, a communication interface, a memory, and a communication bus, wherein, The processor, the communication interface, and the memory communicate with each other via the communication bus, characterized in that... The memory is used to store computer programs; The processor is configured to perform the method of any one of claims 5 to 12 by running the computer program stored in the memory.

14. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, wherein the computer program is configured to execute the method described in any one of claims 5 to 12 when it is run.

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