CN109903452B - Waste recycling method, device, equipment and storage medium - Google Patents
Waste recycling method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a method, a device, equipment and a storage medium for recycling and treating waste products, wherein the method for recycling and treating the waste products comprises the following steps: receiving a waste delivery request and first type information of delivered waste; measuring weight information of the waste; detecting whether the weight information matches the first type information; and if the weight information is not matched with the first type information, setting a message losing mark for the user account corresponding to the waste delivery request. According to the waste recycling method, before waste is received, whether the waste type information input by the user is true and accurate is detected according to the weight information of the waste, and the user account with suspicious delivery behaviors is subjected to the distrust mark, so that economic loss caused by the distrust behaviors of non-honest users is avoided, and the development of intelligent waste recycling services is facilitated.
Description
Technical Field
The invention relates to the technical field of waste recovery, in particular to a waste recovery processing method, a device, equipment and a storage medium.
Background
In people's daily life and industrial production, there are various waste products produced, and many of the waste products can be recycled, thereby generating waste product recycling business.
With the improvement of the scientific and technical level, the intelligent waste recycling market starts to rise to replace part of artificial waste recycling stations. Waste recycling is generally priced according to the weight of waste, and in an intelligent waste recycling project, the weighing process is unattended, so that the phenomenon that a user loses confidence is inevitable. For example, there are individual users who have undesirable benefits in terms of entraining heavy objects such as rocks within textile waste. The existing intelligent waste recycling equipment cannot identify the confidence losing behavior in the waste delivery process, and is not beneficial to the development of intelligent waste recycling business.
Disclosure of Invention
Therefore, it is necessary to provide a method, an apparatus, a device and a computer storage medium for recycling and processing waste products, aiming at the problem that the existing intelligent waste product recycling equipment cannot identify the credit loss behavior in the waste product delivery process.
A method of recycling waste, comprising: receiving a waste delivery request and first type information of delivered waste; measuring weight information of the waste; detecting whether the weight information matches the first type information; and if the weight information is not matched with the first type information, setting a message losing mark for the user account corresponding to the waste delivery request.
According to the waste recycling method, before waste is received, whether the waste type information input by the user is true and accurate is detected according to the weight information of the waste, and the user account with suspicious delivery behaviors is subjected to the distrust mark, so that economic loss caused by the distrust behaviors of non-honest users is avoided, and the development of intelligent waste recycling services is facilitated.
In one embodiment, the method for recycling and treating the waste further comprises the steps of measuring volume information of the waste; detecting whether the first type information is matched with the waste or not according to the volume information and the weight information; and if the first type information is not matched with the waste, setting a credit losing flag for the user account corresponding to the waste delivery request.
In one embodiment, detecting whether the first type of information matches the waste based on the volume information and the weight information includes: acquiring a density interval corresponding to the first type information; detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if so, determining that the first type information is matched with the waste; and if the ratio is not in the density interval, determining that the first type information does not match the waste.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the waste recycling method further includes: sending a site survey request to a preset terminal; receiving on-site survey result information sent by a preset terminal, wherein the on-site survey result information comprises first type information which is accurate or the first type information which is inaccurate; and if the on-site investigation result information is that the first type information is inaccurate, setting a message loss mark for the user account corresponding to the waste delivery request.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the method further includes: collecting images of the waste products; identifying second type information of the waste product according to the collected image; and if the second type information does not accord with the first type information, setting a credit losing mark for the user account corresponding to the waste delivery request.
In one embodiment, there is provided a waste recycling apparatus, comprising: the receiving module is used for receiving the waste delivery request and the first type information of the delivered waste; the first measuring module is used for measuring the weight information of the waste; the detection module is used for detecting whether the weight information is matched with the first type information; and the setting module is used for setting a message loss mark for the user account corresponding to the waste delivery request when the weight information is not matched with the first type information.
In one embodiment, the waste recycling apparatus further includes: the second measuring module is used for measuring the volume information of the waste product; the detection module is also used for detecting whether the first type information is matched with the waste product or not according to the volume information and the weight information; and the setting module is also used for setting a credit losing sign for the user account corresponding to the waste delivery request when the first type information is not matched with the waste.
In one embodiment, the detection module comprises: an acquisition unit configured to acquire a density section corresponding to the first type information; the detection unit is used for detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if the ratio is in the density interval, determining that the first type information is matched with the waste; and if the ratio is not in the density interval, determining that the first type information does not match the waste.
In one embodiment, the apparatus further includes: the communication module is used for sending a site survey request to a preset terminal and receiving site survey result information sent by the preset terminal, wherein the site survey result information comprises first type information which is accurate or inaccurate; the setting module is also used for setting a credit losing sign for the user account corresponding to the waste delivery request when the on-site investigation result information is inaccurate.
In one embodiment, the apparatus further includes: the image acquisition module is used for carrying out image acquisition on the waste products; the identification module is used for identifying the second type information of the waste product according to the collected image; the setting module is further configured to set a credit losing flag for the user account corresponding to the waste delivery request when the second type information does not match the first type information.
In one embodiment, a waste recycling apparatus is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of any embodiment of the present invention when executing the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, performs the steps of the method of any of the embodiments of the invention.
Drawings
FIG. 1 is a schematic flow chart of a waste recycling method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a waste recycling method according to another embodiment of the present invention;
FIG. 3 is a schematic flow chart of a waste recycling method according to another embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a waste recycling apparatus according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a waste recycling apparatus according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a waste recycling apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further 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.
In one embodiment, a method of recycling waste, comprising: receiving a waste delivery request and first type information of delivered waste; measuring weight information of the waste; detecting whether the weight information matches the first type information; and if the weight information is not matched with the first type information, setting a message losing mark for the user account corresponding to the waste delivery request. According to the waste recycling method, before waste is received, whether the waste type information input by the user is true and accurate is detected according to the weight information of the waste, the distrust mark is set for the user account corresponding to the waste delivery request, the user account with suspicious delivery behaviors can be intelligently identified, economic loss caused by the distrust behaviors of non-honest users can be avoided, and the development of intelligent waste recycling business is facilitated. In one embodiment, the waste recycling method includes some or all of the following steps.
In one embodiment, as shown in FIG. 1, there is provided a method for recycling waste comprising the steps of:
s110, receiving a waste delivery request and first type information of delivered waste.
Optionally, receiving the waste delivery request comprises: receiving a waste delivery request input by a user through a preset key; alternatively, a waste delivery request input by a user through voice information is received and recognized.
Wherein the first type information is the type information of the delivered waste input by the user. In one embodiment, a plurality of selectable reject type options are provided for user selection and input. In one embodiment, text information or voice information input by a delivery person is received, and first type information of the delivered waste is identified according to the text information or the voice information.
Optionally, the first type of information includes, but is not limited to: paper, plastic, metal, glass, textile, and the like. Further, each major category may include at least one minor category, such as paper including newspaper, book, cardboard, and the like.
In one embodiment, the waste delivery request includes user account information; or when the waste delivery request is received, identifying user account information corresponding to an initiator of the waste delivery request.
And S120, measuring the weight information of the waste product.
In this step, the weight information may be obtained by measuring the weight of the delivered waste with an electronic scale or a weight sensor.
S130, whether the weight information is matched with the first type information is detected, and if not, the step S140 is carried out.
Wherein, due to the limited volume of the waste receiving device, the maximum weight values corresponding to different types of waste are different in the limited volume. Therefore, the maximum weight value/weight section corresponding to each type of the first type information may be stored in advance for each article corresponding to the first type information. When the weight of the delivered waste is smaller than the maximum weight value corresponding to the first type of information, or when the ratio of the weight of the delivered waste to the maximum weight value corresponding to the first type of information is smaller than a certain preset proportion, or when the weight of the delivered waste is in a weight interval corresponding to the first type of information, determining that the weight information is matched with the first type of information, or determining that the weight information is not matched with the first type of information.
In one embodiment, if the result of the detection in step S130 is yes, that is, when the weight information matches the first type information, the waste product can be received and processed for recycling.
S140, a credit loss mark is set for the user account corresponding to the waste delivery request.
When the weight information is not matched with the first type information, namely the waste type information input by the user does not match with the actual weight of the waste, a credit losing flag is set for a user account corresponding to the waste delivery request.
In one embodiment, after the user account corresponding to the waste delivery request is set with the credit loss flag, the waste of the delivery can be received and the waste can be charged and recycled, or the waste of the delivery can be rejected, so as to avoid economic loss caused by charging the waste according to unrealistic type information.
According to the waste recycling method, before waste is received, whether the waste type information input by the user is true and accurate is detected according to the weight information of the waste, and the user account with suspicious delivery behaviors is subjected to the distrust mark, so that economic loss caused by the distrust behaviors of non-honest users is avoided, and the development of intelligent waste recycling services is facilitated.
In one embodiment, after the loss-of-credit flag is set for the user account, further, the number of times of loss-of-credit delivery or the rate of loss-of-credit delivery corresponding to the user account can be counted, and when the number of times of loss-of-credit delivery or the rate of loss-of-credit delivery corresponding to the user account is greater than a certain threshold, the account can be disabled, so that economic loss caused by loss-of-credit delivery behavior of a non-honest user is avoided.
In an embodiment, before setting the credit loss flag for the user account corresponding to the waste delivery request, the waste recycling method further includes: and sending message loss reminding information to the user account. In this way, the user can be prompted to re-enter the correct waste type information.
In one embodiment, to improve the accuracy of the detection of the authenticity of the type of the waste and avoid the false determination, before step S130, the method for recycling and processing the waste further includes: measuring volumetric information of the waste; accordingly, step S130 is: detecting whether the first type information is matched with the waste or not according to the volume information and the weight information; if the first type information does not match the waste, step S140 is executed to set a credit loss flag for the user account corresponding to the waste delivery request.
In the embodiment, the volume information of the delivered waste is obtained by collecting the image data of the delivered waste and carrying out image analysis and identification. Or detecting the three-dimensional coordinates of the surface characteristic points of the delivered waste by the distance measuring device, and further calculating to obtain the volume information of the delivered waste.
In one embodiment, to improve the measurement accuracy of the volume information, after acquiring image data of the delivered waste, a plurality of feature points in the image are identified, and first volume information of the delivered waste is calculated according to the distance between the respective feature points. Meanwhile, after the three-dimensional coordinates of the surface feature points of the delivered waste are detected by the distance measuring device, second volume information of the delivered waste is calculated according to the distance between the three-dimensional coordinates. And calculating a weighted average value according to the preset weights respectively corresponding to the first volume information and the second volume information, and taking the weighted average value as the volume of the delivered waste.
And pre-storing a density section, a volume section and/or a weight section corresponding to each type of first type information according to the article corresponding to each type of first type information.
In one embodiment, step S130 includes: acquiring a density interval corresponding to the first type information; detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if so, determining that the first type information is matched with the delivered waste; if the ratio is not within the density interval, it is determined that the first type of information does not match the delivered waste.
In one embodiment, step S130 includes: acquiring a weight interval and a volume interval corresponding to the first type information; detecting whether the weight information is in the weight section and whether the volume information is in the volume section; determining that the first type of information matches the delivered waste when the weight information is within the weight interval and the volume information is within the volume interval; otherwise it is determined that the first type of information does not match the delivered waste.
In one embodiment, to improve the accuracy of the authenticity detection of the type of the waste and avoid the erroneous determination, as shown in fig. 2, when the detection result of step S130 is no, before step S140, the method for recycling and processing the waste further includes:
and S134, sending a site survey request to a preset terminal.
Wherein, the site survey request is used for requesting a surveyor to carry out manual survey in the future. Specifically, the on-site survey request includes the identification of the equipment, for example, the ID number of the waste recycling equipment.
In one embodiment, the on-site survey request also includes the geographic location of the equipment to facilitate rapid arrival of surveyors.
And S135, receiving the site survey result information sent by the preset terminal.
In one embodiment, after the surveyor conducts the on-site survey, the surveyor sends the on-site survey result information to the waste recycling equipment through the preset terminal. The field survey result information comprises accurate first type information or inaccurate first type information.
And S136, detecting whether the information of the site survey result is accurate of the first type information, and if not, executing the step S140.
In this embodiment, when the field survey result indicates that the first type of information is inaccurate, a credit loss flag is set for a user account corresponding to the waste delivery request.
In one embodiment, when the results of the site survey indicate that the first type of information is accurate, the rejection is received and processed for a charge recovery. Optionally, the delivered waste products may be subjected to charging and recycling processing according to price information corresponding to the first type information or the second type information.
In this embodiment, when the first type information is detected to be inconsistent with the actual type of the delivered waste primarily according to the volume and the weight, or when the first type information is detected to be inconsistent with the actual type of the delivered waste again through image recognition, a surveyor is further invited to perform manual survey according to field data through a field survey request, and when the manual survey result is still inaccurate according to the first type information, a confidence losing flag is set for a user account corresponding to the waste delivery request. When the manual investigation result is that the first type information is accurate, the waste is received and charged and recycled, so that the misjudgment rate of the equipment is reduced, and the reliability of the system is enhanced.
In an embodiment, to improve the accuracy of the detection of the authenticity of the type of the waste and avoid the erroneous determination, as shown in fig. 3, when the detection result of step S130 is no, before step S134, the method for recycling and processing the waste further includes:
s131, image acquisition is carried out on the waste products.
Specifically, the monitoring camera is used for carrying out image acquisition on a waste delivery site, including the image acquisition on delivered waste.
And S132, identifying the second type information of the waste product according to the collected image.
And the second type information is the type information of the delivered waste which is identified according to an image identification algorithm. In the step, according to an image recognition algorithm, the second type information of the delivered waste is detected by recognizing the characteristics of the delivered waste, such as the shape, the surface texture and the like, in the collected image.
Wherein the second type of information includes a recyclable type and a non-recyclable type, for example, the second type of information includes, but is not limited to, a broad category of paper, plastic, glass, metal, textile, stone, wood, and the like. Optionally, each major class of the second type of information further comprises at least one minor class.
S133, detecting whether the second type information is consistent with the first type information, if the second type information is not consistent with the first type information, executing step S134 or step S140.
Specifically, it is detected whether the second type information is the same as the first type information or whether the second type information belongs to the first type information. If the second type information is the same as the first type information or the second type information belongs to the first type information, judging that the second type information is consistent with the first type information, otherwise, judging that the second type information is not consistent with the first type information. For example, when the first type information is paper and the second type information is a book, the second type information belongs to the first type information, and it is determined that the second type information matches the first type information.
In one embodiment, if the second type information matches the first type information, the delivered waste is received and the charge recycling process is performed on the waste according to preset price information. Optionally, the delivered waste products may be subjected to charging and recycling processing according to price information corresponding to the first type information or the second type information.
In the embodiment, when the first type information input by the user is considered to be inaccurate through the primary detection of the weight information of the delivered waste, and the first type information input by the user is also considered to be inaccurate through the secondary detection of the image identification, the surveyor is invited to carry out manual survey according to field data such as field image data, volume information and/or weight information through the field survey request, whether the first type information is true and accurate is determined according to a manual survey result, so that misjudgment is avoided, the accuracy of the authenticity detection of the type of the waste is improved, and the reliability of the system is enhanced.
In one embodiment, three links of detection are carried out through image data, volume data, account data and the like of a waste delivery site so as to screen the credit loss behavior in the waste delivery process. The first link is carried out in waste delivery front-end equipment, namely waste recycling equipment, and whether suspicious delivery behaviors exist or not is preliminarily discriminated through volume data and weight data. And if the value is greater than a preset threshold value, the confidence losing behavior is considered to possibly exist. And if suspicious behaviors are found, the front-end equipment stores the monitoring image data of the delivery site. The second step can be performed in a waste recycling facility or server for further screening of suspicious delivery activities. For example, image recognition may be performed on the monitored image data in the field in a waste recycling facility or server to screen suspicious delivery activities. In the third step, the surveyor analyzes the data stored on site, such as images, weight and the like, to obtain whether the delivery behavior is the distrust behavior.
In one embodiment, taking textile recycling as an example, a large part of textiles in the market are deeply learned through image recognition software to recognize most of textiles. In the operation process of the recycling equipment, after the first judging link returns suspicious information of the losing behavior, in the second judging link, whether delivered waste products belong to textiles or not is identified by calling field image data. And if the second judgment link still considers that the first type information is inaccurate, notifying operation and maintenance personnel corresponding to the recovery equipment to investigate the site in time in a mobile phone short message mode. After the operation and maintenance personnel receive the on-site survey request and go to the front-end equipment to collect the waste products in the equipment, the operation and maintenance personnel mainly check the waste products delivered according to the content of the received survey request so as to confirm whether the credit loss behavior exists. If the confident behavior exists, transmitting the image data and the zone bit with the confident behavior back to the back-end server; if the behavior of no credit loss is confirmed, the zone bit of the behavior of no credit loss is transmitted back to the server.
In one embodiment, for example, metal recovery, the appearance of most metals on the market is learned by image recognition software to identify most metals. In the operation process of the recycling equipment, after the first judging link returns suspicious information of the information loss behavior, in the second judging link, whether delivered waste products belong to metal or not is identified by calling field image data. And if the second judgment link still considers that the first type information is inaccurate, notifying operation and maintenance personnel corresponding to the recovery equipment to investigate the site in time in a mobile phone short message mode. After the operation and maintenance personnel receive the on-site survey request and go to the front-end equipment to collect the waste products in the equipment, the operation and maintenance personnel mainly check the waste products delivered according to the content of the received survey request so as to confirm whether the credit loss behavior exists. If the confident behavior exists, transmitting the image data and the zone bit with the confident behavior back to the back-end server; if the behavior of no credit loss is confirmed, the zone bit of the behavior of no credit loss is transmitted back to the server.
In one embodiment, after the three determination links, if a credit loss behavior is confirmed, the back-end server sends credit loss information to the corresponding delivery account, and receives the investigation application of the delivery account within a certain time limit.
The embodiment of the invention can improve the operation efficiency of waste recovery equipment and reduce the labor cost.
In one embodiment, a waste recycling device is provided and implemented by the method of any one of the embodiments. In one embodiment, as shown in fig. 4, there is provided a waste recycling apparatus 40, comprising: a receiving module 410, a first measuring module 420, a detecting module 430, and a setting module 440, wherein: the receiving module 410 is used for receiving a waste delivery request and first type information of delivered waste; the first measuring module 420 is used for measuring the weight information of the waste; the detection module 430 is configured to detect whether the weight information matches the first type information; the setting module 440 is configured to set a credit loss flag for the user account corresponding to the waste delivery request when the weight information does not match the first type information.
In one embodiment, the waste recycling device further includes a second measuring module, and the second measuring module is used for measuring the volume information of the waste. The detecting module 430 is further configured to detect whether the first type information matches the waste according to the volume information and the weight information; the setting module 440 is further configured to set a credit loss flag for the user account corresponding to the waste delivery request when the first type information is not matched with the waste.
In one embodiment, the detection module includes an acquisition unit and a detection unit, wherein: the acquisition unit is used for acquiring a density interval corresponding to the first type information; the detection unit is used for detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if the ratio is in the density interval, determining that the first type information is matched with the delivered waste; if the ratio is not within the density interval, it is determined that the first type of information does not match the delivered waste.
In one embodiment, the waste recycling device 40 further includes a communication module, configured to send a site survey request to a preset terminal, and receive site survey result information sent by the preset terminal, where the site survey result information includes that the first type information is accurate or the first type information is inaccurate; the setting module is also used for setting a credit losing sign for the user account corresponding to the waste delivery request when the on-site investigation result information is inaccurate.
In one embodiment, as shown in fig. 5, the waste recycling device 40 further includes an image capturing module 450 and an identifying module 460, wherein the image capturing module 450 is used for capturing images of the waste; the identification module 460 is used for identifying the second type information of the waste product according to the collected image; the setting module 440 is further configured to set a credit loss flag for the user account corresponding to the waste delivery request when the second type information does not match the first type information.
In one embodiment, as shown in fig. 6, there is provided a waste recycling apparatus, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the following steps: receiving a waste delivery request and first type information of delivered waste; measuring weight information of the waste; detecting whether the weight information matches the first type information; and if the weight information is not matched with the first type information, setting a message losing mark for the user account corresponding to the waste delivery request.
In one embodiment, the processor, when executing the computer program, further performs the following steps: measuring volumetric information of the waste; detecting whether the first type information is matched with the waste or not according to the volume information and the weight information; and if the first type information is not matched with the waste product, setting a credit losing flag for a user account corresponding to the waste product delivery request.
In one embodiment, detecting whether the first type of information matches the waste based on the volume information and the weight information includes: acquiring a density interval corresponding to the first type information; detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if so, determining that the first type information is matched with the delivered waste; if the ratio is not within the density interval, it is determined that the first type of information does not match the delivered waste.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the processor executes the computer program to further implement the following steps: sending a site survey request to a preset terminal; receiving on-site survey result information sent by a preset terminal, wherein the on-site survey result information comprises first type information which is accurate or the first type information which is inaccurate; and if the on-site investigation result information is that the first type information is inaccurate, setting a message loss mark for the user account corresponding to the waste delivery request.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the processor executes the computer program to further implement the following steps: collecting images of the waste products; identifying second type information of the waste product according to the collected image; and if the second type information does not accord with the first type information, setting a credit losing mark for the user account corresponding to the waste delivery request.
In one embodiment, the waste recycling equipment is further provided with a monitoring camera, a cabinet body, an industrial electronic scale, a lower computer control board, an upper computer control board and a communication device. The processor is provided with lower computer software and upper computer software.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of: receiving a waste delivery request and first type information of delivered waste; measuring weight information of the waste; detecting whether the weight information matches the first type information; and if the weight information is not matched with the first type information, setting a message losing mark for the user account corresponding to the waste delivery request.
In one embodiment, the computer program as described above when executed by a processor implements the steps of: measuring volumetric information of the waste; detecting whether the first type information is matched with the waste or not according to the volume information and the weight information; and if the first type information is not matched with the waste product, setting a credit losing flag for a user account corresponding to the waste product delivery request.
In one embodiment, detecting whether the first type of information matches the waste based on the volume information and the weight information includes: acquiring a density interval corresponding to the first type information; detecting whether the ratio of the weight information to the volume information is in a density interval or not, and if so, determining that the first type information is matched with the delivered waste; if the ratio is not within the density interval, it is determined that the first type of information does not match the delivered waste.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the computer program further implements the following steps when being executed by the processor: sending a site survey request to a preset terminal; receiving on-site survey result information sent by a preset terminal, wherein the on-site survey result information comprises first type information which is accurate or the first type information which is inaccurate; and if the on-site investigation result information is that the first type information is inaccurate, setting a message loss mark for the user account corresponding to the waste delivery request.
In one embodiment, before the credit loss flag is set for the user account corresponding to the waste delivery request, the computer program further implements the following steps when executed by the processor: collecting images of the waste products; identifying second type information of the waste product according to the collected image; and if the second type information does not accord with the first type information, setting a credit losing mark for the user account corresponding to the waste delivery request.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (7)
1. A method for recycling waste products, the method comprising:
receiving a waste delivery request and first type information of delivered waste;
measuring weight information of the waste;
measuring volumetric information of the waste;
detecting whether the first type information is matched with the waste or not according to the volume information and the weight information;
if the first type information is not matched with the waste, setting a credit losing flag for a user account corresponding to the waste delivery request;
detecting whether the first type information is matched with the waste product or not according to the volume information and the weight information, and the method comprises the following steps:
acquiring a density interval corresponding to the first type information;
detecting whether the ratio of the weight information to the volume information is within the density interval or not, and if so, determining that the first type information is matched with the waste; if the ratio is not within the density interval, determining that the first type information does not match the reject.
2. The method for recycling and processing waste products according to claim 1, wherein before setting a credit loss flag for the user account corresponding to the waste delivery request, the method further comprises:
sending a site survey request to a preset terminal;
receiving field survey result information sent by the preset terminal, wherein the field survey result information comprises first type information which is accurate or the first type information which is inaccurate;
and if the on-site investigation result information is that the first type information is inaccurate, setting a message losing mark for the user account corresponding to the waste delivery request.
3. The method for recycling and processing waste according to claim 2, wherein before sending the on-site survey request to the predetermined terminal, the method further comprises:
collecting images of the waste products;
identifying second type information of the waste product according to the collected image;
and if the second type information does not accord with the first type information, setting a message loss mark for the user account corresponding to the waste delivery request.
4. A waste recovery and disposal device, characterized in that it comprises:
the receiving module is used for receiving the waste delivery request and the first type information of the delivered waste;
a first measuring module for measuring weight information of the waste;
the second measuring module is used for measuring the volume information of the waste;
the detection module is used for detecting whether the first type information is matched with the waste or not according to the volume information and the weight information;
the setting module is used for setting a message loss mark for a user account corresponding to the waste delivery request when the first type information is not matched with the waste;
detecting whether the first type information is matched with the waste product or not according to the volume information and the weight information, and the method comprises the following steps:
acquiring a density interval corresponding to the first type information;
detecting whether the ratio of the weight information to the volume information is within the density interval or not, and if so, determining that the first type information is matched with the waste; if the ratio is not within the density interval, determining that the first type information does not match the reject.
5. The apparatus for recycling and processing waste according to claim 4, characterized in that it further comprises:
the system comprises a communication module, a first type information acquisition module and a second type information acquisition module, wherein the communication module is used for sending a field survey request to a preset terminal and receiving field survey result information sent by the preset terminal, and the field survey result information comprises accurate first type information or inaccurate first type information;
the setting module is further used for setting a credit losing sign for the user account corresponding to the waste delivery request when the on-site survey result information is inaccurate.
6. A waste recycling apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 3 are implemented when the computer program is executed by the processor.
7. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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