CN113778036A - Intelligent management and control method and system for kitchen waste treatment - Google Patents
Intelligent management and control method and system for kitchen waste treatment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 88
- 239000010806 kitchen waste Substances 0.000 title claims description 48
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- 238000012423 maintenance Methods 0.000 claims abstract description 18
- 239000010813 municipal solid waste Substances 0.000 claims abstract description 18
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- 230000015654 memory Effects 0.000 description 15
- 230000006870 function Effects 0.000 description 11
- 238000004590 computer program Methods 0.000 description 10
- 230000018044 dehydration Effects 0.000 description 4
- 238000006297 dehydration reaction Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 239000002699 waste material Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention relates to the technical field of garbage treatment, and particularly discloses an intelligent management and control method for kitchen garbage treatment, which comprises the steps of obtaining working parameters of treatment equipment, and updating the brightness of equipment points in a scene model in real time according to the working parameters; acquiring working condition information according to the brightness, determining a device point to be detected according to the working condition information, acquiring a region image according to the position information of the device point to be detected, and generating processing data containing position information according to the region image; and generating an equipment maintenance plan according to the processing data. According to the technical scheme, the working condition information is obtained through the brightness related to the working parameters of the processing equipment, the point of the equipment to be detected is determined according to the working condition information, the area image is obtained according to the equipment to be detected, and the garbage is further analyzed according to the area image.
Description
Technical Field
The invention relates to the technical field of garbage treatment, in particular to an intelligent management and control method and system for kitchen garbage treatment.
Background
The garbage is solid waste generated in daily life and production of human beings, has large discharge amount, complex and various components, pollution, resource and socialization, needs harmless, resource, reduction and socialization treatment, and can pollute the environment, influence the environmental sanitation, waste resources, destroy the safety of production and life and destroy the social harmony if the garbage cannot be properly treated. The garbage disposal is to rapidly remove the garbage, perform harmless treatment and finally reasonably utilize the garbage.
Kitchen waste is a common waste, and due to the complexity and harmlessness of components, an independent system is provided for the treatment of the waste; because the treatment system is harmless, the treatment modes are selected a lot, because the treatment system is complex, the treatment steps are many, and the treatment system of the kitchen waste is a treatment production line and involves a plurality of devices.
Because the smell of the garbage is harsh, once the assembly line is built, workers often do not stay on line for a long time to monitor the treatment quality, and even if workers with extremely high employment degree are willing to stay on line all the time, a company can not lead the workers to stay on line all the time; the reason is that the existing kitchen waste treatment system does not have the quality detection function, which is also the problem to be solved by the invention.
Disclosure of Invention
The invention aims to provide an intelligent management and control method and system for kitchen waste treatment, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent management and control method for kitchen waste treatment, the method comprises the following steps:
acquiring working parameters of processing equipment, and updating the brightness of equipment points in the scene model in real time according to the working parameters; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information, and acquiring the position information of the equipment points to be detected;
generating a motion instruction according to the position information, sending the motion instruction to a mobile terminal, receiving an area image acquired by the mobile terminal, and generating processing data containing the position information according to the area image;
and acquiring the process completion degree according to the processing data, and generating an equipment maintenance plan according to the process completion degree.
As a further limitation of the technical scheme of the invention: the step of acquiring the working parameters of the processing device and updating the brightness of the device points in the scene model in real time according to the working parameters comprises the following steps:
acquiring working parameters of processing equipment according to a preset frequency, and inserting the working parameters into a working table;
calculating the proportion of the initial working parameters and the standard working parameters, and determining the initial brightness of equipment points in the scene model according to the proportion and the standard brightness;
reading a previous working parameter from the working table, and calculating the offset rate between the working parameter and the previous working parameter;
and updating the brightness of the equipment points in the scene model according to the offset rate.
As a further limitation of the technical scheme of the invention: the step of generating a motion instruction according to the position information and sending the motion instruction to a mobile terminal comprises the following steps:
reading position information of a to-be-detected equipment point in a scene model, and determining a connection path according to the position information and the scene model;
randomly reading two pieces of position information according to preset reading times to serve as a starting point and an end point, and inputting the starting point and the end point into a Dijkstra algorithm to obtain a movement scheme containing a movement distance;
and reading the motion scheme with the shortest motion distance, generating a motion instruction, and sending the motion instruction to the mobile terminal.
As a further limitation of the technical scheme of the invention: the step of receiving an area image acquired by a mobile terminal and generating processing data containing position information according to the area image includes:
receiving an area image acquired by a mobile terminal, and performing gray level conversion on the area image to obtain a gray level image;
reading position information corresponding to the area image, and reading a reference image library according to the position information;
traversing the reference image library based on the gray level image, sequentially calculating the similarity, and extracting and marking the reference image with the similarity larger than a preset similarity threshold;
and counting the marked reference image, and generating processing data containing position information according to the reference image.
As a further limitation of the technical scheme of the invention: receiving an area image acquired by a mobile terminal, and performing gray level conversion on the area image to obtain a gray level image, wherein the step of obtaining the gray level image comprises the following steps:
receiving an area image acquired by a mobile terminal, and determining a gray level conversion formula according to the display type of the area image;
traversing pixel points of the regional image, and converting color values of the pixel points into gray values according to the gray conversion formula;
generating a characteristic array according to the converted gray value, and generating a gray image according to the characteristic array; wherein the feature array is a two-dimensional array.
As a further limitation of the technical scheme of the invention: the step of obtaining the process completion degree according to the processing data and generating the equipment maintenance plan according to the process completion degree comprises the following steps:
determining a processing node of the kitchen waste processing chain according to the position information, and reading corresponding reference data based on the processing node;
reading the processing data, and comparing the processing data with the reference data to obtain a process completion degree;
comparing the procedure completion degree with a preset completion degree threshold value in real time, and intercepting a kitchen waste treatment chain according to the processing node when the procedure completion degree is smaller than the completion degree threshold value to obtain a node table to be detected;
and reading corresponding position information according to the node table to be detected, and generating an equipment maintenance plan based on the position information.
As a further limitation of the technical scheme of the invention: the step of obtaining the process completion degree according to the processing data and generating the equipment maintenance plan according to the process completion degree comprises the following steps:
receiving feedback information sent by an employee, and acquiring account information of the employee;
acquiring a staff responsible area according to the staff account information, and reading processing equipment and position information thereof in the responsible area;
and generating a maintenance plan according to the position information.
The technical scheme of the invention also provides an intelligent management and control system for kitchen waste treatment, which comprises the following components:
the brightness updating module is used for acquiring working parameters of the processing equipment and updating the brightness of equipment points in the scene model in real time according to the working parameters; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
the working condition analysis module is used for sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information and acquiring the position information of the equipment points to be detected;
the image processing module is used for generating a motion instruction according to the position information, sending the motion instruction to the mobile terminal, receiving an area image acquired by the mobile terminal, and generating processing data containing the position information according to the area image;
and the maintenance plan generating module is used for acquiring the process completion degree according to the processing data and generating an equipment maintenance plan according to the process completion degree.
As a further limitation of the technical scheme of the invention: the image processing module includes:
the conversion unit is used for receiving the area image acquired by the mobile terminal and carrying out gray level conversion on the area image to obtain a gray level image;
the reference image reading unit is used for reading the position information corresponding to the area image and reading a reference image library according to the position information;
the similarity calculation unit is used for traversing the reference image library based on the gray level image, calculating the similarity in sequence, and extracting and marking the reference image with the similarity larger than a preset similarity threshold;
and the counting unit is used for counting the marked reference image and generating the processing data containing the position information according to the reference image.
As a further limitation of the technical scheme of the invention: the conversion unit includes:
the formula determining subunit is used for receiving the area image acquired by the mobile terminal and determining a gray level conversion formula according to the display type of the area image;
the first execution subunit is used for traversing pixel points of the regional image and converting the color values of the pixel points into gray values according to the gray conversion formula;
the second execution subunit is used for generating a characteristic array according to the converted gray value and generating a gray image according to the characteristic array; wherein the feature array is a two-dimensional array.
Compared with the prior art, the invention has the beneficial effects that: according to the technical scheme, the working condition information is obtained through the brightness related to the working parameters of the processing equipment, the point of the equipment to be detected is determined according to the working condition information, the area image is obtained according to the equipment to be detected, and the garbage is further analyzed according to the area image.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of the intelligent management and control method for kitchen waste treatment.
Fig. 2 shows a first sub-flow block diagram of the intelligent management and control method for kitchen waste treatment.
Fig. 3 shows a second sub-flow block diagram of the intelligent management and control method for kitchen waste treatment.
Fig. 4 shows a third sub-flow block diagram of the intelligent management and control method for kitchen waste treatment.
Fig. 5 shows a fourth sub-flow block diagram of the intelligent management and control method for kitchen waste treatment.
Fig. 6 shows a fifth sub-flow block diagram of the intelligent management and control method for kitchen waste treatment.
Fig. 7 shows a block diagram of the intelligent management and control system for kitchen waste treatment.
Fig. 8 shows a block diagram of a structure of an image processing module in the kitchen waste processing intelligent management and control system.
Fig. 9 is a block diagram showing a constitutional structure of a conversion unit in the image processing module.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 shows a flow chart of an intelligent management and control method for kitchen waste treatment, in an embodiment of the present invention, the method for intelligent management and control of kitchen waste treatment includes steps S100 to S400:
step S100: acquiring working parameters of processing equipment, and updating the brightness of equipment points in the scene model in real time according to the working parameters; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
the scene model is a two-dimensional or three-dimensional model corresponding to the kitchen waste treatment environment, and most kitchen waste treatment environments are fixed equipment, so that all components in the corresponding scene model are also fixed; in the process of treating kitchen waste, different treatment processes relate to different treatment equipment, for example, some treatment processes need dehydration, and some treatment processes do not need dehydration, so that the two treatment processes are different by one dehydration step, and corresponding equipment related to dehydration cannot be used; the scene model is provided with device points corresponding to the processing devices, the brightness parameters of which are adjustable, said brightness being determined by the operating parameters.
It should be noted that the operating parameter may be the whole input voltage (input current) or the fitting voltage (fitting current) of the input voltage (input current) of each module, and the brightness may also be changed to color, that is, different operating parameters correspond to different color device points.
Step S200: sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information, and acquiring the position information of the equipment points to be detected;
the brightness is a data in the scene model, which represents a certain working parameter, in other words, the brightness may reflect the working condition information, it is conceivable that the capability of reflecting the working condition information is not too high, and only the basic working state of the equipment can be analyzed, for example, there is no overload condition or stability of the workflow in the working process, and according to the basic working state, some equipment that may have problems, that is, the equipment to be inspected, may be determined.
Step S300: generating a motion instruction according to the position information, sending the motion instruction to a mobile terminal, receiving an area image acquired by the mobile terminal, and generating processing data containing the position information according to the area image;
after the equipment to be detected is determined, further detection is carried out according to the positions of the equipment to be detected, the mobile end is required to be used, the mobile end is installed on the intelligent mobile equipment, the intelligent mobile equipment can move according to the sent motion instruction, corresponding image data are obtained when the intelligent mobile equipment reaches the specified position, and then processing data are generated according to the image data; from the above description, it can be seen that the smart mobile device further includes at least an image acquisition function and a communication function.
Step S400: and acquiring the process completion degree according to the processing data, and generating an equipment maintenance plan according to the process completion degree.
Judging whether the kitchen waste meets the treatment requirement after a certain processing procedure according to each processing data, if the kitchen waste after a certain procedure does not meet the treatment requirement, then each previous procedure may have problems, wherein the possibility of errors of the corresponding processing procedure is the largest.
Fig. 2 shows a first sub-flow block diagram of the kitchen waste treatment intelligent management and control method, where the step of obtaining the working parameters of the treatment device and updating the brightness of the device points in the scene model in real time according to the working parameters includes steps S101 to S104:
step S101: acquiring working parameters of processing equipment according to a preset frequency, and inserting the working parameters into a working table;
step S102: calculating the proportion of the initial working parameters and the standard working parameters, and determining the initial brightness of equipment points in the scene model according to the proportion and the standard brightness;
step S103: reading a previous working parameter from the working table, and calculating the offset rate between the working parameter and the previous working parameter;
step S104: and updating the brightness of the equipment points in the scene model according to the offset rate.
The brightness in the technical scheme of the invention is changed in real time, and after an initial brightness is determined, the brightness of equipment points in a scene model is continuously updated according to the change amplitude of working parameters; wherein the magnitude of the change is described by a rate of shift between adjacent operating parameters.
Fig. 3 shows a second sub-flow block diagram of the kitchen waste treatment intelligent management and control method, where the step of generating a motion instruction according to the location information and sending the motion instruction to the mobile terminal includes steps S301 to S303:
step S301: reading position information of a to-be-detected equipment point in a scene model, and determining a connection path according to the position information and the scene model;
step S302: randomly reading two pieces of position information according to preset reading times to serve as a starting point and an end point, and inputting the starting point and the end point into a Dijkstra algorithm to obtain a movement scheme containing a movement distance;
step S303: and reading the motion scheme with the shortest motion distance, generating a motion instruction, and sending the motion instruction to the mobile terminal.
Dijkstra's algorithm was proposed in 1959 by the netherlands computer scientist dikstra, and is therefore also called the dikstra algorithm. The method is a shortest path algorithm from one vertex to the rest of the vertices, and solves the shortest path problem in the weighted graph. The dijkstra algorithm is mainly characterized in that a greedy algorithm strategy is adopted from a starting point, and adjacent nodes of vertexes which are nearest to the starting point and have not been visited are traversed each time until the nodes are expanded to a terminal point. This is a common algorithm in the path planning problem, and there are many reference examples for those skilled in the art to refer to. The input of the dijkstra algorithm is a starting point and an end point, and the positions of the points and the distances between the points are basic parameters.
The purpose of steps S301 to S303 is to generate a motion scheme with a shorter path by means of dijkstra' S algorithm, which is innovative in that the input values, i.e. the start and end points, are read randomly, which has the advantage of limiting the amount of computation to a certain range and the result does not deviate much from the optimal path.
Fig. 4 shows a third sub-flow block diagram of the kitchen waste treatment intelligent management and control method, where the step of receiving the area image acquired by the mobile terminal and generating the processing data containing the position information according to the area image includes steps S304 to S307:
step S304: receiving an area image acquired by a mobile terminal, and performing gray level conversion on the area image to obtain a gray level image;
step S305: reading position information corresponding to the area image, and reading a reference image library according to the position information;
step S306: traversing the reference image library based on the gray level image, sequentially calculating the similarity, and extracting and marking the reference image with the similarity larger than a preset similarity threshold;
step S307: and counting the marked reference image, and generating processing data containing position information according to the reference image.
Step S304 to step S307 provide a specific method for obtaining processing data from image data, and the core steps are traversing the reference image library according to a grayscale image, sequentially calculating the similarity, and extracting and marking the reference image with the similarity greater than a preset similarity threshold; in an example of the technical solution of the present invention, the region image is a garbage image after a certain process, garbage with different processing degrees is different, color values are different in response to the image, a reference image library can be generated according to the garbage images with different processing degrees, and after a new garbage image is obtained, the processing degree of the garbage, that is, processing data, can be determined by using the reference image library.
The method has the advantages that the situation most similar to the actual situation is searched in the reference image library, and then the data corresponding to the reference image is used as the data of the actual situation, similar to data correction, so that the subsequent comparison process is facilitated.
In step S307, the step of generating the processing data including the position information from the reference image includes: and reading the processing data corresponding to the reference image, wherein the reference image is more than one, and the corresponding processing data is also more than one, and the data is used as a sample to determine more accurate processing data.
Fig. 5 shows a fourth sub-flow block diagram of the kitchen waste treatment intelligent management and control method, where the step of receiving the area image acquired by the mobile terminal, and performing gray-scale conversion on the area image to obtain a gray-scale image includes steps S3041 to S3043:
step S3041: receiving an area image acquired by a mobile terminal, and determining a gray level conversion formula according to the display type of the area image;
step S3042: traversing pixel points of the regional image, and converting color values of the pixel points into gray values according to the gray conversion formula;
step S3043: generating a characteristic array according to the converted gray value, and generating a gray image according to the characteristic array; wherein the feature array is a two-dimensional array.
The technical scheme of the invention relates to the operation of the image, which only has the process of comparing the similarity, and the function is to be completed without analyzing the details of the area image.
Fig. 6 shows a fifth sub-flow block diagram of the kitchen waste treatment intelligent management and control method, wherein the step of obtaining the process completion according to the processing data and generating the equipment maintenance plan according to the process completion includes steps S401 to S404:
step S401: determining a processing node of the kitchen waste processing chain according to the position information, and reading corresponding reference data based on the processing node;
step S402: reading the processing data, and comparing the processing data with the reference data to obtain a process completion degree;
step S403: comparing the procedure completion degree with a preset completion degree threshold value in real time, and intercepting a kitchen waste treatment chain according to the processing node when the procedure completion degree is smaller than the completion degree threshold value to obtain a node table to be detected;
step S404: and reading corresponding position information according to the node table to be detected, and generating an equipment maintenance plan based on the position information.
The content is a comparison process, after the actual situation is obtained, the actual situation is compared with the standard situation, and if the actual situation does not meet the requirement of the standard situation, the problem of the kitchen processing assembly line is indicated, and the kitchen processing assembly line needs to be overhauled.
In a preferred embodiment of the technical solution of the present invention, fig. 7 shows a sixth sub-flow block diagram of an intelligent management and control method for kitchen waste treatment, where the step of obtaining a process completion according to the processing data and generating an equipment maintenance plan according to the process completion includes:
receiving feedback information sent by an employee, and acquiring account information of the employee;
acquiring a staff responsible area according to the staff account information, and reading processing equipment and position information thereof in the responsible area;
and generating a maintenance plan according to the position information.
The above content provides an employee interaction port, the priority of the problem found manually is the highest, of course, this situation is rare, the problem processing device found manually can also find, if the problem found manually and the device does not find, the whole production line will be repaired once.
Example 2
Fig. 7 is a block diagram illustrating a configuration structure of an intelligent management and control system for kitchen waste disposal, in an embodiment of the present invention, the system 10 includes:
the brightness updating module 11 is configured to obtain a working parameter of the processing device, and update the brightness of the device point in the scene model in real time according to the working parameter; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
the working condition analysis module 12 is used for sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information, and acquiring the position information of the equipment points to be detected;
the image processing module 13 is configured to generate a motion instruction according to the position information, send the motion instruction to the mobile terminal, receive an area image acquired by the mobile terminal, and generate processing data containing the position information according to the area image;
and an overhaul plan generating module 14, configured to obtain the process completion level according to the processing data, and generate an equipment overhaul plan according to the process completion level.
Fig. 8 is a block diagram showing a structure of an image processing module in the kitchen waste processing intelligent management and control system, where the image processing module 13 includes:
a conversion unit 131, configured to receive an area image acquired by a mobile terminal, and perform gray-scale conversion on the area image to obtain a gray-scale image;
a reference image reading unit 132, configured to read position information corresponding to the area image, and read a reference image library according to the position information;
a similarity calculation unit 133, configured to traverse the reference image library based on the grayscale image, sequentially calculate similarities, and extract and mark a reference image with a similarity greater than a preset similarity threshold;
the counting unit 134 is configured to count the marked reference image and generate the processing data including the position information according to the reference image.
Fig. 9 is a block diagram showing a configuration of a conversion unit in the image processing module, and the conversion unit 131 includes:
a formula determination subunit 1311, configured to receive the area image acquired by the mobile terminal, and determine a grayscale conversion formula according to a display type of the area image;
a first executing subunit 1312, configured to traverse the pixel points of the area image, and convert the color values of the pixel points into gray values according to the gray conversion formula;
a second execution subunit 1313, configured to generate a feature array according to the converted grayscale value, and generate a grayscale image according to the feature array; wherein the feature array is a two-dimensional array.
The intelligent management and control method for kitchen waste treatment can realize functions which are all completed by computer equipment, wherein the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the intelligent management and control method for kitchen waste treatment.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer readable medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent management and control method for kitchen waste treatment is characterized by comprising the following steps:
acquiring working parameters of processing equipment, and updating the brightness of equipment points in the scene model in real time according to the working parameters; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information, and acquiring the position information of the equipment points to be detected;
generating a motion instruction according to the position information, sending the motion instruction to a mobile terminal, receiving an area image acquired by the mobile terminal, and generating processing data containing the position information according to the area image;
and acquiring the process completion degree according to the processing data, and generating an equipment maintenance plan according to the process completion degree.
2. The intelligent management and control method for kitchen waste treatment according to claim 1, wherein the step of obtaining the working parameters of the treatment equipment and updating the brightness of the equipment points in the scene model in real time according to the working parameters comprises:
acquiring working parameters of processing equipment according to a preset frequency, and inserting the working parameters into a working table;
calculating the proportion of the initial working parameters and the standard working parameters, and determining the initial brightness of equipment points in the scene model according to the proportion and the standard brightness;
reading a previous working parameter from the working table, and calculating the offset rate between the working parameter and the previous working parameter;
and updating the brightness of the equipment points in the scene model according to the offset rate.
3. The intelligent management and control method for kitchen waste treatment according to claim 1, wherein the step of generating a motion instruction according to the position information and sending the motion instruction to a mobile terminal comprises:
reading position information of a to-be-detected equipment point in a scene model, and determining a connection path according to the position information and the scene model;
randomly reading two pieces of position information according to preset reading times to serve as a starting point and an end point, and inputting the starting point and the end point into a Dijkstra algorithm to obtain a movement scheme containing a movement distance;
and reading the motion scheme with the shortest motion distance, generating a motion instruction, and sending the motion instruction to the mobile terminal.
4. The intelligent management and control method for kitchen waste treatment according to claim 1, wherein the step of receiving the area image acquired by the mobile terminal and generating the processing data containing the position information according to the area image comprises:
receiving an area image acquired by a mobile terminal, and performing gray level conversion on the area image to obtain a gray level image;
reading position information corresponding to the area image, and reading a reference image library according to the position information;
traversing the reference image library based on the gray level image, sequentially calculating the similarity, and extracting and marking the reference image with the similarity larger than a preset similarity threshold;
and counting the marked reference image, and generating processing data containing position information according to the reference image.
5. The intelligent management and control method for kitchen waste treatment according to claim 4, wherein the step of receiving the area image acquired by the mobile terminal, and performing gray scale conversion on the area image to obtain a gray scale image comprises:
receiving an area image acquired by a mobile terminal, and determining a gray level conversion formula according to the display type of the area image;
traversing pixel points of the regional image, and converting color values of the pixel points into gray values according to the gray conversion formula;
generating a characteristic array according to the converted gray value, and generating a gray image according to the characteristic array; wherein the feature array is a two-dimensional array.
6. The intelligent management and control method for kitchen waste treatment according to claim 1, wherein the step of obtaining process completion according to the processing data and generating an equipment overhaul plan according to the process completion comprises:
determining a processing node of the kitchen waste processing chain according to the position information, and reading corresponding reference data based on the processing node;
reading the processing data, and comparing the processing data with the reference data to obtain a process completion degree;
comparing the procedure completion degree with a preset completion degree threshold value in real time, and intercepting a kitchen waste treatment chain according to the processing node when the procedure completion degree is smaller than the completion degree threshold value to obtain a node table to be detected;
and reading corresponding position information according to the node table to be detected, and generating an equipment maintenance plan based on the position information.
7. The intelligent management and control method for kitchen waste treatment according to claim 6, wherein said step of obtaining process completion according to said processing data and generating an equipment overhaul plan according to said process completion comprises:
receiving feedback information sent by an employee, and acquiring account information of the employee;
acquiring a staff responsible area according to the staff account information, and reading processing equipment and position information thereof in the responsible area;
and generating a maintenance plan according to the position information.
8. The utility model provides a kitchen garbage handles intelligent management and control system which characterized in that, the system includes:
the brightness updating module is used for acquiring working parameters of the processing equipment and updating the brightness of equipment points in the scene model in real time according to the working parameters; the equipment points and the processing equipment are in a one-to-one mapping relationship, and the processing equipment and the equipment points which have the mapping relationship comprise the same equipment number;
the working condition analysis module is used for sequentially inputting the brightness of the equipment points into a trained working condition analysis model to obtain working condition information, determining the equipment points to be detected according to the working condition information and acquiring the position information of the equipment points to be detected;
the image processing module is used for generating a motion instruction according to the position information, sending the motion instruction to the mobile terminal, receiving an area image acquired by the mobile terminal, and generating processing data containing the position information according to the area image;
and the maintenance plan generating module is used for acquiring the process completion degree according to the processing data and generating an equipment maintenance plan according to the process completion degree.
9. The intelligent management and control system for kitchen waste treatment according to claim 8, wherein said image processing module comprises:
the conversion unit is used for receiving the area image acquired by the mobile terminal and carrying out gray level conversion on the area image to obtain a gray level image;
the reference image reading unit is used for reading the position information corresponding to the area image and reading a reference image library according to the position information;
the similarity calculation unit is used for traversing the reference image library based on the gray level image, calculating the similarity in sequence, and extracting and marking the reference image with the similarity larger than a preset similarity threshold;
and the counting unit is used for counting the marked reference image and generating the processing data containing the position information according to the reference image.
10. The intelligent management and control system for kitchen waste treatment according to claim 9, characterized in that said conversion unit comprises:
the formula determining subunit is used for receiving the area image acquired by the mobile terminal and determining a gray level conversion formula according to the display type of the area image;
the first execution subunit is used for traversing pixel points of the regional image and converting the color values of the pixel points into gray values according to the gray conversion formula;
the second execution subunit is used for generating a characteristic array according to the converted gray value and generating a gray image according to the characteristic array; wherein the feature array is a two-dimensional array.
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