Integrated intelligent recycling system and method for kitchen garbage and other garbage

Abstract

The invention relates to an integrated intelligent recycling system and method for kitchen garbage and other garbage, and relates to the field of renewable resource recycling, and the integrated intelligent recycling system comprises a user operation end, a recycling machine end, a management end and a clearance and consumption end; the user operation end is used for inputting platform user information, performing touch screen operation of a user and performing display and exchange operation of a point shopping mall; the recycling machine end is used for classified recycling of garbage, weighing in the kitchen garbage recycling process, ultrasonic overflow recognition, visual sensing recognition and recording and monitoring and snapshot of delivery personnel; the management end is used for receiving data information sent by each port, performing background management and sending a data instruction; and the clearance consumption end is used for receiving the overflow information alarm instruction sent by the management end, planning an operation route, verifying equipment and carrying out corresponding clearance operation. The kitchen waste recycling amount is equivalently exchanged for credits, and the credits are equivalently exchanged for commodities, so that the classified putting efficiency and quality of the kitchen waste are improved, and the recycling rate of the kitchen waste is effectively increased.

Description

Technical Field

[0001] The present invention relates to the field of renewable resource recovery, and in particular to an integrated intelligent recovery system and method for kitchen waste and other waste. Background Art

[0002] With the continuous development of science and technology, the amount and types of garbage produced by people in daily life are also increasing day by day. In order to reduce the amount of landfill, save resources, reduce environmental pollution, improve the efficiency of garbage disposal, and further improve the utilization rate of renewable resources, the classification and disposal of daily garbage is an effective way and method to improve the utilization rate of renewable resources.

[0003] Various types of garbage classification and recycling bins are also placed in existing residential areas, but they have not played a role in enhancing awareness of garbage classification, and the classification quality is poor. In particular, the recycling efficiency of wet garbage such as kitchen waste is extremely low, resulting in a low recycling rate of kitchen waste, which wastes a lot of renewable resources. Summary of the invention

[0004] Purpose of the invention: To provide an integrated intelligent recycling system for kitchen waste and other waste, and further provide a recycling method for the integrated intelligent recycling system for kitchen waste and other waste, so as to solve the above-mentioned problems existing in the prior art.

[0005] Technical solution: An integrated intelligent recycling method for kitchen waste and other waste, characterized by comprising the following operating steps:

[0006] S1. The user logs in to the recycling information management program to register the user information, bind the face recognition authentication, and log in to the corresponding user mall;

[0007] S2. Select the corresponding garbage delivery port through the touch screen of the intelligent recycling machine, the corresponding door opens, and the user sorts the garbage and puts it into the corresponding recycling compartment;

[0008] When the user chooses to put garbage into other garbage collection chambers, the user can perform normal operation after the chamber door is opened. After finishing the operation, the user can click the chamber door again on the touch screen to close the operation, and the corresponding operation can be completed.

[0009] When the user chooses to put food waste into the kitchen waste recycling cabin, the cabin door is opened and the user puts the food waste into the cabin. At the same time, the weighing sensor installed in the kitchen waste recycling cabin weighs the food waste put into the cabin. After finishing putting the food waste into the cabin, the user clicks the cabin door again on the touch screen to close it.

[0010] S3. After the door of the kitchen waste recycling cabin is closed, the designed weight sensor sends the measured garbage weight to the information management program end and replaces it with the corresponding points;

[0011] S4. When the recycling bin is full, a corresponding overflow information alarm is sent to the backend management end. After receiving the overflow alarm, the management end sends a transporter to transport the overflowing recycling bin for recycling and transport it back to the garbage recycling factory;

[0012] S5. Manually conduct a secondary inspection of the kitchen waste collected in the kitchen waste recycling cabin. If any illegal placement is found, the corresponding delivery person’s information will be traced back and the corresponding points will be deducted;

[0013] If there is no illegal placement, the next step of warehousing and sorting will be carried out.

[0014] In a further embodiment, in step S2, when the user puts the kitchen waste into the kitchen waste recycling cabin, the monitoring device outside the kitchen waste recycling cabin monitors and captures the person delivering the food in real time. The visual sensor inside the kitchen waste recycling cabin records the put items in real time and communicates with the user information of the user information management program in synchronization.

[0015] In a further embodiment, a QR code is provided on the surface of the recycling bin of the food waste recycling compartment in step S2, and the QR code is connected to the user information of the information management program. The information of the person delivering the food waste in the recycling bin can be obtained through the information management program, so as to facilitate a secondary inspection of the recycled waste.

[0016] In a further embodiment, the recovery tank overflow information alarm in step S4 is detected by the ultrasonic sensor and sends an alarm instruction to the information management program and the background management terminal;

[0017] When the ultrasonic sensor sends an overflow alarm to the information management, the user will not be able to select the overflow recovery bin through the touch screen to continue the delivery operation.

[0018] In a further embodiment, the operation method of tracing the information of the deliverer of the illegal delivery behavior in step S5 includes the following analysis steps:

[0019] S501, perform contour scanning on the manually sorted illegal objects, extract sampling points, and count the sampling point set S = {s1, s2, ..., s i ,…,s N}, where N represents the total number of sampling points, s i Represents the i-th sampling point in the set;

[0020] S502, by locating the spatial coordinates of each sampling point, the specific coordinates are expressed as S i (x i ,y i ,z i), and calculate the specific spatial coordinates of each sampling point in the sampling point set S:

[0021]

[0022] Where N represents the total number of sampling points, i represents s i Represents the i-th sampling point in the set;

[0023] S503: Select any sampling point s in the sampling point set S. j The particle space height value and sampling point s i Subtract the spatial height of the particle from the difference d i,j , and count all sampling points in the sampling point set S relative to the sampling point s i Difference sequence D i :

[0024] D i =(d i,i ,d i,i+1 ,…,d i,N ,d i,1 ,…,d i,i-1 ) T

[0025] Where T = N-1, N represents the total number of sampling points;

[0026] The calculation formula of the particle space height is:

[0027]

[0028] d i,j =g i -g j

[0029] where g j is the sampling point s j The height of the particle space, g i is the sampling point s i The spatial height value of the particle;

[0030] S504, set the obtained difference sequence D i As the template sequence, the real-time video recordings of the visual sensor are decomposed one by one to generate an image sequence set C = {p1, p2, ..., p n}, where n represents the total number of image sequences;

[0031] Substituting the above steps S501 to S503 into the calculated difference sequence array of each point value in each image sequence set C

[0032] F(C)=[d c1 ,d c2 ,…,dcn ](c∈{p1,p2,…,p n})

[0033] And sequentially compare the corresponding difference sequence in the difference sequence array with the template sequence D i For comparison, the sequence with the highest repetition is the target sequence T i ;

[0034] S505. After confirming the target sequence, the time of placement of the illegal objects is confirmed through the real-time image record of the visual sensor, and the corresponding placer is tracked back. After the placer is determined, the points in the user mall in the information management program of the corresponding user are deducted through the background management terminal.

[0035] In a further embodiment, the target sequence T in step S504 is obtained quickly and accurately by calculating the data path regularization. i :

[0036] T i =min(D i -d c1 |,|D i -d c2 |,…,|D i -d cn |).

[0037] An integrated intelligent recycling system for kitchen waste and other garbage applied to the integrated intelligent recycling method for kitchen waste and other garbage, characterized by comprising a user operation end, a recycling machine end, a management end and a clearing and disposal end;

[0038] The user operation terminal is used to input platform user information and user touch screen operations, as well as display and redemption operations of the points mall. The recycling machine terminal is used to classify and recycle kitchen waste and other garbage, as well as weigh, ultrasonic overflow recognition, visual sensor recognition and recording during the kitchen waste recycling process, and monitor and capture the delivery personnel. The management terminal is used to receive data information sent by the remaining ports, perform remote background management, and send corresponding data instructions. The transportation and disposal terminal is used to receive overflow information alarm instructions sent by the management terminal, and plan operating routes, equipment verification, and corresponding transportation operations.

[0039] In a further embodiment, the user operation end is divided into a user mobile phone unit and an intelligent delivery machine unit; the user mobile phone unit is used for registering and collecting user information, as well as logging into the user points mall and redeeming points; the intelligent delivery machine unit is used for entering user information at the beginning of each delivery operation, and confirming and registering the delivery personnel's information through face recognition, WeChat QR code scanning login, palm vein login, and touch screen control.

[0040] Beneficial effects: The present invention relates to an integrated intelligent recycling system and method for kitchen waste and other garbage, and relates to the field of renewable resource recycling, including a user operation terminal, a recycling machine terminal, a management terminal, and a transportation and disposal terminal; the user operation terminal is used to input platform user information and user touch screen operations, as well as display and redemption operations of the points mall; the recycling machine terminal is used to classify and recycle kitchen waste and other garbage, as well as weigh, ultrasonic overflow recognition, visual sensor recognition and recording during kitchen waste recycling, and monitoring and capturing of delivery personnel; the management terminal is used to receive data information sent by the remaining ports, perform remote background management, and send corresponding data instructions; the transportation and disposal terminal is used to receive overflow information alarm instructions sent by the management terminal, and plan operating routes, equipment verification, and corresponding transportation operations. By exchanging the amount of kitchen waste recycled for points in equal amounts, and the points for goods in equal amounts, the efficiency and quality of the classified delivery of kitchen waste can be promoted, and the recycling rate of kitchen waste can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a simplified flow chart of the integrated intelligent recycling system for kitchen waste and other wastes described in the present invention. DETAILED DESCRIPTION

[0042] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0043] The applicant believes that the existing classified garbage recycling equipment has not played a good role in promoting the implementation of garbage classification operations, especially for wet garbage such as kitchen waste, the recycling efficiency is extremely low, resulting in a low recycling and reuse rate of kitchen waste, and a large amount of renewable resources is wasted.

[0044] To this end, the applicant designed an integrated intelligent recycling system and method for kitchen waste and other waste, which promotes the efficiency and quality of kitchen waste classification and disposal by exchanging the amount of kitchen waste recycled for points and the points for goods, thereby effectively improving the recycling rate of kitchen waste.

[0045] The present invention relates to an integrated intelligent recycling method for kitchen waste and other waste, characterized in that it comprises the following operating steps:

[0046] Step 1: The user logs in to the recycling information management program to register the user information, bind the face recognition authentication, and log in to the corresponding user mall;

[0047] Step 2: Select the corresponding garbage delivery port through the touch screen of the smart recycling machine, the corresponding door will open, and the user will sort the garbage and put it into the corresponding recycling compartment;

[0048] When the user chooses to put garbage into other garbage collection chambers, the user can perform normal operation after the chamber door is opened. After finishing the operation, the user can click the chamber door again on the touch screen to close the operation, and the corresponding operation can be completed.

[0049] When the user chooses to put food waste into the kitchen waste recycling cabin, the cabin door is opened and the user puts the food waste into the cabin. At the same time, the weighing sensor installed in the kitchen waste recycling cabin weighs the food waste put into the cabin. After finishing putting the food waste into the cabin, the user clicks the cabin door again on the touch screen to close it.

[0050] Step 3: After the door of the kitchen waste recycling cabin is closed, the designed weight sensor sends the measured garbage weight to the information management program end and replaces it with the corresponding points;

[0051] Step 4: When the recycling bin is full, the corresponding overflow information alarm is sent to the backend management end. After receiving the overflow alarm, the management end sends a transporter to transport the overflowing recycling bin for recycling and transport it back to the garbage recycling factory;

[0052] Step 5: Manually conduct a secondary inspection of the kitchen waste collected in the kitchen waste recycling cabin. If any illegal delivery is found, the corresponding delivery person’s information will be traced and the corresponding points will be deducted;

[0053] If there is no illegal placement, the next step of warehousing and sorting will be carried out.

[0054] In a further preferred embodiment, the recycling information management program can be logged in and searched by scanning the QR code set on the smart recycling machine body, or by searching through the mini program, and requires mobile phone number binding, face recognition and basic information entry to complete the registration operation, and then you can log in to the user mall to view points and redeem points for goods.

[0055] In the second step, when the user puts the kitchen waste into the kitchen waste recycling cabin, the monitoring device outside the kitchen waste recycling cabin monitors and captures the person delivering the food in real time. The visual sensor inside the kitchen waste recycling cabin records the put items in real time and communicates with the user information of the user information management program in synchronization.

[0056] In a further preferred embodiment, the monitoring system installed outside the food waste recycling cabin can perform synchronous facial recognition after the delivery personnel log in their information to ensure the accuracy of the information of the logged-in personnel, so as to facilitate the secondary inspection of the recycling quality of the food waste at a later time and ensure the accuracy of the information of the personnel who illegally delivered the food.

[0057] A QR code is provided on the surface of the recycling bin of the kitchen waste recycling compartment in the step 2. The QR code is connected to the user information of the information management program. The information of the person delivering the kitchen waste in the recycling bin can be obtained through the information management program, so as to facilitate a secondary inspection of the recycled waste.

[0058] In a further preferred embodiment, the starting point for intercepting the delivery personnel information is when the recycling bin is placed into the space of the kitchen waste recycling compartment of the corresponding intelligent recycling machine, and the end time is when the corresponding kitchen waste recycling compartment overflows and the recycling bin is recycled. That is, when the empty recycling bin is placed into the space of the kitchen waste recycling compartment of the corresponding intelligent recycling machine, the QR code on the surface of the recycling bin is scanned, and the user timing is started. When the recycling bin overflows and needs to be recycled, the QR code on the surface of the recycling bin is scanned again, and the user timing is stopped. All user information within this time cutoff is the information of all delivery personnel for the recycling bin.

[0059] The recovery tank overflow information alarm in step 4 is detected by the ultrasonic sensor and sends an alarm instruction to the information management program and the background management terminal;

[0060] When the ultrasonic sensor sends an overflow alarm to the information management, the user will not be able to select the overflow recovery bin through the touch screen to continue the delivery operation.

[0061] The operation method of tracing the information of the sender of the illegal delivery behavior described in step 5 includes the following analysis steps:

[0062] Step 501: Scan the contours of the manually sorted illegal objects, extract sampling points, and count the sampling point set S = {s1, s2, ..., s i ,…,s N}, where N represents the total number of sampling points, s i Represents the i-th sampling point in the set;

[0063] Step 502: Position the spatial coordinates of each sampling point, the specific coordinates are represented by S i (x i ,y i ,z i ), and calculate the specific spatial coordinates of each sampling point in the sampling point set S:

[0064]

[0065] Where N represents the total number of sampling points, i represents s i Represents the i-th sampling point in the set;

[0066] Step 503: Select any sampling point s from the sampling point set Sj The particle space height value and sampling point s i Subtract the spatial height of the particle from the difference d i,j , and count all sampling points in the sampling point set S relative to the sampling point s i Difference sequence D i :

[0067] D i =(d i,i ,d i,i+1 ,…,d i,N ,d i,1 ,…,d i,i-1 ) T

[0068] Where T = N-1, N represents the total number of sampling points;

[0069] The calculation formula of the particle space height is:

[0070]

[0071] d i,j =g i -g j

[0072] where g j is the sampling point s j The height of the particle space, g i is the sampling point s i The spatial height value of the particle;

[0073] Step 504: Set the obtained difference sequence D i As the template sequence, the real-time video recordings of the visual sensor are decomposed one by one to generate an image sequence set C = {p1, p2, ..., p n}, where n represents the total number of image sequences;

[0074] Substituting the above steps 501 to 503 into the calculation, the difference sequence array of each point value in each image sequence set C is obtained

[0075] F(C)=[d c1 ,d c2 ,…,d cn ](c∈{p1,p2,…,p n})

[0076] And sequentially compare the corresponding difference sequence in the difference sequence array with the template sequence D i For comparison, the sequence with the highest repetition is the target sequence T i ;

[0077] Step 505: After confirming the target sequence, the time of placement of the illegal objects is confirmed through the real-time image record of the visual sensor, and the corresponding placer is tracked back. After the placer is determined, the points in the user mall in the information management program of the corresponding user are deducted through the background management terminal.

[0078] By calculating the data path regularly, the target sequence T in step 504 is obtained quickly and accurately. i :

[0079] T i =min(D i -d c1 |,|D i -d c2 |,…,|D i -d cn |).

[0080] In a further preferred embodiment, in order to improve the accuracy of the comparison between the template sequence and the target sequence, the illegal objects can be flipped in multiple directions when scanning the contours of the illegal objects, and a template sequence can be generated from multiple angles, which can be used for secondary calibration and comparison after the target sequence is locked. When searching for and determining the target sequence, multiple groups of template sequences can be used for horizontal comparison to ultimately lock the target sequence.

[0081] An integrated intelligent recycling system for kitchen waste and other garbage applied to the integrated intelligent recycling method for kitchen waste and other garbage, characterized by comprising a user operation end, a recycling machine end, a management end and a clearing and disposal end;

[0082] The user operation terminal is used to input platform user information and user touch screen operations, as well as display and redemption operations of the points mall. The recycling machine terminal is used to classify and recycle kitchen waste and other garbage, as well as weigh, ultrasonic overflow recognition, visual sensor recognition and recording during the kitchen waste recycling process, and monitor and capture the delivery personnel. The management terminal is used to receive data information sent by the remaining ports, perform remote background management, and send corresponding data instructions. The transportation and disposal terminal is used to receive overflow information alarm instructions sent by the management terminal, and plan operating routes, equipment verification, and corresponding transportation operations.

[0083] In a further preferred embodiment, after receiving the overflow information alarm instruction sent by the management end, the cleaning and disposal end first locates the location of the smart phone that issued the overflow alarm signal. When there are multiple overflowing smart phones alarming at the same time, the cleaning and disposal end plans the corresponding recovery routes by locating the multiple smart phones, and recovers the overflow recovery compartments of the multiple overflowing smart phones in sequence from far to near.

[0084] The user operation end is divided into a user mobile phone unit and an intelligent delivery machine unit; the user mobile phone unit is used for registering and collecting user information, as well as logging into the user points mall and redeeming points; the intelligent delivery machine unit is used for entering user information at the beginning of each delivery operation, and confirming and registering the delivery personnel's information through face recognition, WeChat QR code scanning login, palm vein login, and touch screen control.

[0085] The brief description of the operation of the integrated intelligent recycling system for kitchen waste and other wastes of the present invention is as follows:

[0086] 1. User operation process: Users register using WeChat or mobile phone number. When logging in, they can choose to scan WeChat QR code, enter mobile phone number, face recognition (extra binding required), palm vein login (extra binding required) and other forms of login verification;

[0087] After logging in, select the corresponding garbage delivery port on the touch screen of the smart recycling machine. The door opens, and the user puts the garbage into the port. The user clicks to end the delivery, the door closes, and the weight of the garbage is calculated to give corresponding points.

[0088] 2. User mobile phone: After registration, points can be redeemed in the mall. Each delivery will generate points and can be exchanged for goods of equal value.

[0089] 3. Recycling machine: Use weighing sensors to identify weight, ultrasonic sensors to identify equipment overflow, visual sensors to verify delivery items, external monitoring to capture photos of the delivery person, and log in to the user account before delivery;

[0090] 4. Transportation end: obtain equipment overflow information alarm, plan operation route, equipment verification identity, and complete transportation;

[0091] 5. Consumption end: The cleaner sends the package back to the factory, obtains all the information and content of the delivery person through the QR code on the recycling device, and checks whether there is any violation. If there is a violation, the violator will be traced through the delivery information (equipment information, login information, monitoring capture, visual sensor, etc.) and his points will be deducted. If there is no violation, the next step of warehousing and sorting will be carried out;

[0092] 6. Management side: display of management capabilities such as equipment online status, distribution status, operation status, cleaning status, and operation status.

[0093] As described above, although the present invention has been shown and described with reference to specific preferred embodiments, it should not be construed as limiting the present invention itself. Various changes may be made to it in form and detail without departing from the spirit and scope of the present invention as defined in the appended claims.

Claims

1. An integrated intelligent recycling method for kitchen waste and other waste, characterized in that: The steps include: S1. The user logs in to the recycling information management program to register the user information, bind the face recognition authentication, and log in to the corresponding user mall; S2. Select the corresponding garbage delivery port through the touch screen of the intelligent recycling machine, the corresponding door opens, and the user sorts the garbage and puts it into the corresponding recycling compartment; When the user chooses to put garbage into other garbage collection chambers, the user can perform normal operation after the chamber door is opened. After finishing the operation, the user can click the chamber door again on the touch screen to close the operation, and the corresponding operation can be completed. When the user chooses to put food waste into the kitchen waste recycling cabin, the cabin door is opened and the user puts the food waste into the cabin. At the same time, the weighing sensor installed in the kitchen waste recycling cabin weighs the food waste put into the cabin. After finishing putting the food waste into the cabin, the user clicks the cabin door again on the touch screen to close it. S3. After the door of the kitchen waste recycling cabin is closed, the designed weight sensor sends the measured garbage weight to the information management program end and replaces it with the corresponding points; S4. When the recycling bin is full, a corresponding overflow information alarm is sent to the backend management end. After receiving the overflow alarm, the management end sends a transporter to transport the overflowing recycling bin for recycling and transport it back to the garbage recycling factory; S5. Manually conduct a secondary inspection of the kitchen waste collected in the kitchen waste recycling cabin. If any illegal placement is found, the corresponding delivery person’s information will be traced and the corresponding points will be deducted; If there is no illegal placement, the next step of warehousing and sorting will be carried out.

2. The integrated intelligent recycling method for kitchen waste and other waste according to claim 1, characterized in that: In step S2, when the user delivers the kitchen waste into the kitchen waste recycling cabin, the monitoring device outside the kitchen waste recycling cabin monitors and captures the deliverer in real time; The visual sensor installed in the kitchen waste recycling cabin records the placed items in real time and connects the user information synchronized with the user information management program.

3. The integrated intelligent recycling method for kitchen waste and other waste according to claim 2 is characterized in that: A QR code is provided on the surface of the recycling bin of the kitchen waste recycling compartment in step S2, and the QR code is connected to the user information of the information management program. The information of the person delivering the kitchen waste in the recycling bin can be obtained through the information management program, so as to facilitate a secondary inspection of the recycled waste.

4. The integrated intelligent recycling method for kitchen waste and other waste according to claim 1, characterized in that: The recovery tank overflow information alarm in step S4 is detected by the ultrasonic sensor and sends an alarm instruction to the information management program and the background management terminal; When the ultrasonic sensor sends an overflow alarm to the information management, the user will not be able to select the overflow recovery bin through the touch screen to continue the delivery operation.

5. The integrated intelligent recycling method for kitchen waste and other waste according to claim 2 is characterized in that: The operation method of tracing the information of the sender of the illegal delivery behavior in step S5 includes the following analysis steps: S501, perform contour scanning on the manually sorted illegal objects, extract sampling points, and count the sampling point set S = {s1, s2, ..., s i ,…,s N }, where N represents the total number of sampling points, s i Represents the i-th sampling point in the set; S502, by locating the spatial coordinates of each sampling point, the specific coordinates are expressed as S i (x i ,y i ,z i ), and calculate the specific spatial coordinates of each sampling point in the sampling point set S: Where N represents the total number of sampling points, i represents s i Represents the i-th sampling point in the set; S503: Select any sampling point s in the sampling point set S. j The particle space height value and sampling point s i Subtract the spatial height of the particle from the difference d i,j , and count all sampling points in the sampling point set S relative to the sampling point s i Difference sequence D i : D i =(d i,i ,d i,i+1 ,…,d i,N ,d i,1 ,…,d i,i-1 ) T Where T = N-1, N represents the total number of sampling points; The calculation formula of the particle space height is: d i,j =g i -g j where g j is the sampling point s j The height of the particle space, g i is the sampling point s i The spatial height value of the particle; S504, set the obtained difference sequence D i As the template sequence, the real-time video recordings of the visual sensor are decomposed one by one to generate an image sequence set C = {p1, p2, ..., p n }, where n represents the total number of image sequences; Substituting the above steps S501 to S503 into the calculated difference sequence array of each point value in each image sequence set C F(C)=[d c1 ,d c2 ,…,d cn ](c∈{p1,p2,…,p n }) And sequentially compare the corresponding difference sequence in the difference sequence array with the template sequence D i For comparison, the sequence with the highest repetition is the target sequence T i ; S505. After confirming the target sequence, the time of placement of the illegal objects is confirmed through the real-time image record of the visual sensor, and the corresponding placer is tracked back. After the placer is determined, the points in the user mall in the information management program of the corresponding user are deducted through the background management terminal.

6. The integrated intelligent recycling method for kitchen waste and other waste according to claim 5, characterized in that: By calculating the data path regularization, the target sequence T in step S504 is obtained quickly and accurately. i : T i =min(D i -d c1 ,D i -d c2 ,…,|D i -d cn |)。 7. An integrated intelligent recycling system using an integrated intelligent recycling method for kitchen waste and other wastes according to any one of claims 1 to 6, characterized in that: Including user operation end, recycling machine end, management end and cleaning and disposal end; The user operation terminal is used to input platform user information and perform user touch screen operations, as well as display and redemption operations of the points mall; The recycling machine is used to classify and recycle kitchen waste and other garbage, as well as to measure weight, identify overflow with ultrasound, identify and record with visual sensors during the kitchen waste recycling process, and monitor and capture the delivery personnel; The management terminal is used to receive data information sent by the remaining ports, perform remote background management, and send corresponding data instructions; The cleaning and disposal end is used to receive the overflow information alarm instruction sent by the management end, and plan the operation route, equipment verification, and corresponding cleaning and transportation operations.

8. The integrated intelligent recycling system for kitchen waste and other waste according to claim 7 is characterized in that: The user operation end is divided into a user mobile phone unit and an intelligent delivery machine unit; the user mobile phone unit is used for registering and collecting user information, as well as logging into the user points mall and redeeming points; the intelligent delivery machine unit is used for entering user information at the beginning of each delivery operation, and confirming and registering the delivery personnel's information through face recognition, WeChat QR code scanning login, palm vein login, and touch screen control.

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