CN112801701A - Method, storage medium and apparatus for addressing food automatic manufacturing equipment - Google Patents
Method, storage medium and apparatus for addressing food automatic manufacturing equipment Download PDFInfo
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- 235000013305 food Nutrition 0.000 title claims abstract description 65
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 title claims description 19
- 238000004519 manufacturing process Methods 0.000 title claims description 14
- 238000005259 measurement Methods 0.000 claims abstract description 49
- 238000010187 selection method Methods 0.000 claims abstract description 16
- 238000002360 preparation method Methods 0.000 claims abstract description 12
- 238000011156 evaluation Methods 0.000 claims abstract description 6
- 238000001514 detection method Methods 0.000 claims description 36
- 239000000428 dust Substances 0.000 claims description 33
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention discloses a site selection method, a storage medium and a device for automatically selecting a site for food preparation equipment. The address selection method comprises the following steps: a, acquiring pedestrian flow data and ground vibration measurement data of a to-be-selected place; and B, judging whether the site to be selected meets the site selection requirement or not according to site selection factors of the site to be selected, wherein the site selection factors comprise people flow data and ground vibration measurement data. The site selection method carries out site selection evaluation according to the ground vibration measurement data of the people flow data of the site to be selected, the site selection is carried out by taking the field automatic making characteristic of the food automatic making equipment into consideration, and the influence of the ground vibration on the accuracy of the field automatic making is avoided.
Description
Technical Field
The invention relates to the technical field of site selection of vending machines, in particular to a site selection method, a storage medium and a device for site selection of automatic food manufacturing equipment.
Background
In daily life, the silhouette of the vending machine is often visible. Generally, when an operator wants to obtain a good business profit, the operator needs to investigate and evaluate the dispensing points of the vending machine and place the vending machine at a place where the evaluation is good. At present, the site selection of the vending machine mainly considers the flow of people and the similar competition conditions. The delivery points selected by the site selection method can be better than the operating income of the vending machine, but the site selection method does not consider the site making characteristics of the vending machine of the site automatic making type, and the accuracy of the site automatic making can be influenced if the ground vibrates frequently and greatly.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a site selection method for automatically making food equipment, a computer readable storage medium for storing a computer program for realizing the method when the computer program is executed by a processor, and a site selection device comprising the computer readable storage medium.
The automatic food making equipment is characterized in that a controller controls each component to execute corresponding steps according to a preset computer program so as to realize automatic food making, and the positions or the movement speeds of the components in the equipment are set. The inventor finds that large trucks usually cause large vibration on the ground nearby when passing by, and if large trucks often pass by the throwing point of the equipment, the ground of the throwing point often has large vibration, so that firstly, the positions of components in the equipment are deviated, and the material transfer between different components cannot be completed according to a preset track; secondly, the movement speed of the internal components of the equipment is changed, but the controller still controls the operation of each component according to a preset computer program, thereby causing errors in the manufacturing process. Therefore, the inventor proposes the following technical scheme after thought:
in order to solve the technical problem, the invention provides a method for selecting a site of automatic food making equipment, which comprises the following steps:
a, acquiring pedestrian flow data and ground vibration measurement data of a to-be-selected place;
and B, judging whether the site to be selected meets the site selection requirement or not according to site selection factors of the site to be selected, wherein the site selection factors comprise the people flow data and the ground vibration measurement data.
Optionally, the people flow data is used for representing the people flow, the larger the people flow is, the more likely the location to be selected meets the site selection requirement, the ground vibration measurement data is used for representing the ground vibration degree, and the smaller the ground vibration degree is, the more likely the location to be selected meets the site selection requirement.
Optionally, in the step a, one or more of dust measurement data of the to-be-selected site, noise measurement data of the to-be-selected site, and waterlogging risk data of the to-be-selected site are obtained, and in the step B, the site selection factor further includes one or more of the dust measurement data, the noise measurement data, and the waterlogging risk data;
the dust measurement data are used for representing the dust content, and the lower the dust content is, the more the site to be selected tends to meet the site selection requirement; the noise measurement data are used for representing the magnitude of a noise decibel value, and the smaller the noise decibel value is, the more the site to be selected tends to meet the site selection requirement; the waterlogging risk data is used for representing the high and low waterlogging risk degree, and the lower the waterlogging risk degree is, the more the site to be selected tends to meet the site selection requirement.
Optionally, the "acquiring the waterlogging risk data of the to-be-selected place" specifically includes: and acquiring the underground drainage pipeline data of the site to be selected, and acquiring the waterlogging risk data according to the underground drainage pipeline data.
A computer-readable storage medium, having stored thereon a computer program which, when executed, may implement the method of addressing food product automatic manufacturing equipment as described above.
The device for selecting the address of the automatic food manufacturing equipment comprises a shooting module, a ground vibration detection module and a control module, wherein the control module is electrically connected with the shooting module and the ground vibration detection module, the shooting module is used for acquiring image data of a place to be selected and acquiring people flow data according to the image data, the ground vibration detection module is used for acquiring ground vibration measurement data of the place to be selected, the control module comprises a processor and a computer readable storage medium storing a computer program, and when the computer program is executed by the processor, the method for selecting the address of the automatic food manufacturing equipment is realized.
Optionally, the automatic food production equipment site selection method further comprises one or more of a dust detection module, a noise detection module and a waterlogging risk detection module, wherein the dust detection module, the noise detection module and the waterlogging risk detection module are electrically connected with the control module, the dust detection module is used for acquiring dust measurement data of a site to be selected, the noise detection module is used for acquiring noise measurement data of the site to be selected, the waterlogging risk detection module is used for acquiring waterlogging risk data of the site to be selected, and when being executed by the processor, the computer program can realize the site selection method for the automatic food production equipment site selection.
Optionally, the system comprises a communication module electrically connected with the control module, the site selection device can upload site selection factors and/or site selection evaluation results through the communication module, and the site selection factors comprise people flow data and ground vibration measurement data of a site to be selected.
Optionally, the site selection factor further includes one or more of dust measurement data, noise measurement data, and waterlogging risk data of the site to be selected.
Optionally, the food automatic making device comprises a moving module, a radar navigation module and a positioning module, the moving module is electrically connected with the control module, the moving module drives the locating device for locating the food automatic making device to move, the control module plans a moving route according to radar detection data of the radar navigation module, image data of the shooting module and positioning data of the positioning module, then controls the moving module to drive the locating device for locating the food automatic making device to move to the location to be selected according to the moving route, and then executes the computer program at the location to be selected.
The site selection method for the site selection of the automatic food making equipment performs site selection evaluation according to the ground vibration measurement data of the people flow data of the site to be selected, and considers the field automatic making characteristics of the automatic food making equipment during site selection, so that the influence of ground vibration on the accuracy of field automatic making is avoided.
Drawings
FIG. 1 is a block diagram showing a structure of an address selecting apparatus for selecting an address of an automatic food preparation apparatus;
FIG. 2 is a schematic flow chart of a first addressing method performed by an addressing device for addressing a food product automatic manufacturing apparatus;
FIG. 3 is a schematic flow chart of a second addressing method performed by the addressing device for addressing the food automatic making apparatus;
FIG. 4 is a schematic flow chart of a third addressing method performed by the addressing device for addressing the food automatic making apparatus;
FIG. 5 is a schematic flow chart of a fourth addressing method performed by the addressing device for addressing the food automatic making apparatus;
fig. 6 is a flow chart of a fifth addressing method executed by the addressing device for addressing the food automatic making equipment.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
As shown in fig. 1, an address selecting apparatus for selecting an address of an automatic food manufacturing apparatus includes a main body, and a communication module, a photographing module, a moving module, a radar navigation module, a positioning module, and a control module provided on the main body. The control module is respectively and electrically connected with the communication module, the shooting module, the moving module, the radar navigation module and the positioning module. The control module includes a processor and a computer readable storage medium storing a computer program that, when executed by the processor, implements the functionality of the control module.
The automatic food making equipment is a vending machine capable of automatically making food on site, and can be used for a user to place an order and purchase the food by self. After the operator of the automatic food making equipment selects the place to be selected, the position information of the place to be selected is sent to the site selection device. After receiving the position information of the to-be-selected place through the communication module, the control module of the addressing device plans a moving route in real time according to radar detection data of the radar navigation module, image data of the shooting module and positioning data of the positioning module, and then controls the moving module to drive the addressing device to move to the to-be-selected place according to the moving route.
The inventor finds that when the automatic food making equipment is selected, the following factors are considered in addition to the human flow factor:
(1) the automatic food making equipment is characterized in that a controller controls each component to execute corresponding steps according to a preset computer program so as to realize automatic food making, and the positions or the movement speeds of the components in the equipment are set. The large truck road usually causes large vibration on the ground nearby, and if the ground of a throwing point usually has large vibration, firstly, the position of an internal part of the equipment is deviated, so that the material handover between different parts cannot be completed according to a preset track; secondly, the movement speed of the internal components of the equipment is changed, but the controller still controls the operation of each component according to a preset computer program, thereby causing errors in the manufacturing process. Therefore, the operator should consider the degree of ground vibration when addressing the automatic food preparation equipment.
(2) Automatic preparation equipment of food is equipped with out the meal mouth, if the dust content in the air is too high, when having a meal, the dust can be followed out the meal mouth and run inside the equipment, can cause the pollution to the food of making well, influences the sanitary condition of food, consequently, the operator should consider the dust content condition in the air when choosing the address for automatic preparation equipment of food.
(3) When a user purchases food on automatic food making equipment, the user needs to wait for the completion of food making at the equipment to obtain the food because the food is automatically made on site. Experience gains are affected if the noise around the equipment is so loud that the user feels uncomfortable and may not place an order to purchase the food, and therefore the operator should consider the noise at the drop point when automatically addressing the food.
(4) Waterlogging is a problem in many places, and when the rainy season comes, the waterlogging easily occurs in some places with unsmooth drainage. The automatic food making equipment is fixedly arranged at the putting point and is unattended, and if waterlogging occurs, the equipment is flooded and damaged, so that an operator needs to consider the waterlogging risk degree of the putting point when selecting the site for the automatic food making equipment.
For this purpose, the site selection device comprises a ground vibration detection module, a dust detection module, a noise detection module and an underground drainage pipeline detection module as shown in figure 1, and a control module is respectively and electrically connected with the detection modules. Referring to fig. 6, the addressing method can be executed after the addressing device moves to the location to be selected, which is as follows:
a, acquiring people flow data, ground vibration measurement data, dust measurement data, noise measurement data and waterlogging risk data of a to-be-selected place;
the specific acquisition mode is as follows: the control module enables the shooting module to collect image data of a place to be selected and then analyzes the image data to obtain pedestrian flow data of the place to be selected; enabling the ground vibration detection module to detect the ground vibration condition of the place to be selected, and obtaining ground vibration measurement data; enabling a dust detection module to detect the dust content in the air of the place to be selected, so as to obtain dust measurement data; enabling a noise detection module to detect the noise condition of a place to be selected, thereby obtaining noise measurement data; and (3) carrying out perspective scanning on the ground at the to-be-selected place by using an underground drainage pipeline detection module (namely an underground pipeline detector) to obtain underground drainage pipeline data so as to obtain waterlogging risk data.
And B, judging whether the site to be selected meets the site selection requirement or not according to site selection factors of the site to be selected, wherein the site selection factors comprise the people flow data, the ground vibration measurement data, the dust measurement data, the noise measurement data and the waterlogging risk data.
The specific judgment process is as follows: according to the data, the control module scores the pedestrian flow, the ground vibration degree, the dust content, the noise decibel value and the waterlogging risk degree of the place to be selected respectively to obtain five scores. The larger the flow of people is, the higher the corresponding score is, the smaller the ground vibration degree is, the higher the corresponding score is, the lower the dust content is, the higher the corresponding score is, the lower the noise decibel value is, the higher the corresponding score is, the smaller the waterlogging risk degree is, the higher the corresponding score is, and the higher the score is, the more the site selection requirement is met. The staff needs to set the corresponding grid line and weight ratio for each score in advance and store the grid line and weight ratio in the computer readable storage medium. If the five scores reach the passing line or above, the site to be selected meets the site selection requirement, and the control module further performs weighted calculation on the five scores to obtain a comprehensive site selection score of the site to be selected. After the control module obtains the comprehensive site selection score of the site to be selected, the site selection factor and the site selection evaluation result of the site to be selected can be packaged and sent to the user terminal of the operator of the automatic food making equipment.
Preferably, the passing line of each score can be cancelled, the control module directly carries out weighted calculation on the five scores to obtain a comprehensive site selection score, and if the comprehensive site selection score is higher than a qualified value, the site selection requirement is met.
If the operator of the automatic food making equipment selects the position information of a plurality of places to be selected, the position information of all the places to be selected can be sent to the site selection device at one time, and the site selection device moves to each place to be selected to execute the site selection method after receiving the position information of all the places to be selected. If a plurality of places to be selected all meet the site selection requirement, the control module sorts the advantages and the disadvantages of the places to be selected according to the site selection scores after obtaining the site selection scores of the places to be selected and sends the sorting result to a user terminal of an operator of the automatic food making equipment.
Referring to the siting method shown in any one of fig. 2 to 5, in other non-preferred embodiments, the siting factor may further include one or a combination of any more of human flow data, ground vibration measurement data, dust measurement data, noise measurement data, and waterlogging risk data. The specific determination process is referred to above, and only irrelevant address selection factors need to be removed, which is not described herein again.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
In the above embodiment, after the site selection device obtains the people flow data, the ground vibration measurement data, the dust measurement data, the noise measurement data and the waterlogging risk data, it is determined whether the site to be selected meets the site selection requirement according to the data. In other non-preferred embodiments, a server in communication connection with the addressing device is added, and the addressing device does not perform judgment after obtaining the data, but directly uploads the data to the server, and instead, the server judges whether the location to be selected meets the addressing requirement according to the received data.
The above description is only the embodiments of the present invention, and the scope of protection is not limited thereto. The insubstantial changes or substitutions will now be made by those skilled in the art based on the teachings of the present invention, which fall within the scope of the claims.
Claims (10)
1. A site selection method for automatically making a food site is characterized by comprising the following steps:
a, acquiring pedestrian flow data and ground vibration measurement data of a to-be-selected place;
and B, judging whether the site to be selected meets the site selection requirement or not according to site selection factors of the site to be selected, wherein the site selection factors comprise the people flow data and the ground vibration measurement data.
2. The method of claim 1 for addressing food preparation equipment, wherein: the people flow data are used for representing the people flow, the larger the people flow is, the more the location to be selected tends to meet the site selection requirement, the ground vibration measurement data are used for representing the ground vibration degree, and the smaller the ground vibration degree is, the more the location to be selected tends to meet the site selection requirement.
3. The method of claim 2, further comprising: in the step a, one or more of dust measurement data of the to-be-selected site, noise measurement data of the to-be-selected site and waterlogging risk data of the to-be-selected site are acquired, and in the step B, the site selection factor further includes one or more of the dust measurement data, the noise measurement data and the waterlogging risk data;
the dust measurement data are used for representing the dust content, and the lower the dust content is, the more the site to be selected tends to meet the site selection requirement; the noise measurement data are used for representing the magnitude of a noise decibel value, and the smaller the noise decibel value is, the more the site to be selected tends to meet the site selection requirement; the waterlogging risk data is used for representing the high and low waterlogging risk degree, and the lower the waterlogging risk degree is, the more the site to be selected tends to meet the site selection requirement.
4. A site selection method for automatically making a site for food products according to claim 3, wherein: the step of acquiring the waterlogging risk data of the to-be-selected place specifically comprises the following steps: and acquiring the underground drainage pipeline data of the site to be selected, and acquiring the waterlogging risk data according to the underground drainage pipeline data.
5. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed may implement a method of addressing a food product automatic preparation apparatus as claimed in any of claims 1 to 4.
6. A site selection device for automatically making food site selection is characterized in that: the method comprises a shooting module, a ground vibration detection module and a control module, wherein the control module is electrically connected with the shooting module and the ground vibration detection module, the shooting module is used for acquiring image data of a place to be selected and acquiring pedestrian volume data according to the image data, the ground vibration detection module is used for acquiring ground vibration measurement data of the place to be selected, the control module comprises a processor and a computer readable storage medium storing a computer program, and the computer program is executed by the processor to realize the address selection method for the address selection of the food automatic making equipment according to claim 1.
7. The site selection apparatus for automatically making a site for food as claimed in claim 6, wherein: the automatic food production equipment site selection method is characterized by further comprising one or more of a dust detection module, a noise detection module and a waterlogging risk detection module, wherein the dust detection module, the noise detection module and the waterlogging risk detection module are electrically connected with the control module, the dust detection module is used for acquiring dust measurement data of a site to be selected, the noise detection module is used for acquiring noise measurement data of the site to be selected, the waterlogging risk detection module is used for acquiring waterlogging risk data of the site to be selected, and when being executed by the processor, the computer program can realize the site selection method for food automatic production equipment site selection according to claim 3.
8. The site selection apparatus for automatically making a site for food as claimed in claim 6, wherein: the site selection device comprises a communication module electrically connected with the control module, and the site selection device can upload site selection factors and/or site selection evaluation results through the communication module, wherein the site selection factors comprise pedestrian flow data and ground vibration measurement data of a site to be selected.
9. The addressing device for addressing food preparation equipment as recited in claim 8, characterized in that: the site selection factor further comprises one or more of dust measurement data, noise measurement data and waterlogging risk data of the site to be selected.
10. An addressing device for addressing food preparation equipment according to any one of claims 6 to 9, characterized in that: the automatic food preparation equipment site selection device comprises a moving module, a radar navigation module and a positioning module, wherein the moving module is electrically connected with the control module, the moving module drives a site selection device for selecting a site for automatic food preparation equipment to move, the control module plans a moving route according to radar detection data of the radar navigation module, image data of the shooting module and positioning data of the positioning module, then the moving module is controlled to drive the site selection device for selecting the site for automatic food preparation equipment to move to a site to be selected according to the moving route, and then the computer program is executed at the site to be selected.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110130500.7A CN112801701A (en) | 2021-01-29 | 2021-01-29 | Method, storage medium and apparatus for addressing food automatic manufacturing equipment |
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| CN202110130500.7A CN112801701A (en) | 2021-01-29 | 2021-01-29 | Method, storage medium and apparatus for addressing food automatic manufacturing equipment |
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| CN108132981A (en) * | 2017-12-13 | 2018-06-08 | 国家电网公司 | Take the electric power facility site selecting method of Rainstorm Flood venture influence into account |
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2021
- 2021-01-29 CN CN202110130500.7A patent/CN112801701A/en active Pending
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| CN108132981A (en) * | 2017-12-13 | 2018-06-08 | 国家电网公司 | Take the electric power facility site selecting method of Rainstorm Flood venture influence into account |
| CN109447374A (en) * | 2018-11-17 | 2019-03-08 | 朱学庆 | A kind of new shop quick site selection method and apparatus based on big data analysis |
| CN109934508A (en) * | 2019-03-21 | 2019-06-25 | 深圳市丰巢科技有限公司 | Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data |
| CN110443634A (en) * | 2019-07-08 | 2019-11-12 | 阿里巴巴集团控股有限公司 | The determination method, apparatus and server of the dispensing address of vending machine |
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| 生态环境部环境工程评估中心: "《环境影响评价技术方法》", 31 January 2020, 中国农业大学出版社, pages: 185 - 121 * |
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Effective date of registration: 20211021 Address after: 510700 501-2, Guangzheng science and Technology Industrial Park, No. 11, Nanyun 5th Road, Science City, Huangpu District, Guangzhou City, Guangdong Province Applicant after: GUANGZHOU FUGANG LIFE INTELLIGENT TECHNOLOGY Co.,Ltd. Address before: 510700 501-1, Guangzheng science and Technology Industrial Park, No. 11, Yunwu Road, Science City, Huangpu District, Guangzhou City, Guangdong Province Applicant before: GUANGZHOU FUGANG WANJIA INTELLIGENT TECHNOLOGY Co.,Ltd. |
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